From f53c77666db583743ce1b77c67cc20c22b383f13 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Tue, 20 Dec 2016 19:10:43 +0000 Subject: [PATCH 001/236] Another chunk --- README-es.md | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/README-es.md b/README-es.md index 38ff7a8dd4..a3f2ab4a2c 100644 --- a/README-es.md +++ b/README-es.md @@ -4,25 +4,27 @@ Version original: [Inglés](README.md) ## Qué es? -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. +Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) +a ingeniero de software en Google. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. -There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from -Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected -sometimes word-for-word in Google's coaching notes. +Esta lista tan larga, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que +tienes que saber. +Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar +problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" +de Steve Yegge, y a veces aparecen, palabra por palabra en las notas de coaching de Google. -I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements -from information received from my contact at Google. This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. -[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). +He reducido lo que tienes que saber de lo que Yegge recomienda. He alterado los requerimientos de Yegge acorde con la +información que me facilitó me contacto en Google. Está orientado para **nuevos ingenieros de software** or para aquellos +que cambian el desarrollo de software o web, por ingeniería de software (donde se necesita conocimiento en ciencias de +computadores). Si tienes muchos años de experiencia y gran parte es experiencia en ingeniería de software, espera que +la entrevista sea más dura. [Lee más aquí](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). -If you have many years of software/web development experience, note that Google views software engineering as -different from software/web development and they require computer science knowledge. +Si tienes muchos años de experiencia en desarrollo de software o web, ten en cuenta que Google ve la ingenieria del software +como algo diferente al desarrollo web, y ellos requiren conocimiento en ciencias de computadores. -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). +Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de sistemas, estudia más de la lista opcional (redes, seguridad). --- From a0e9b881d1834becdf46090b89d420f21dce30d0 Mon Sep 17 00:00:00 2001 From: Severiano Jaramillo Quintanar Date: Wed, 21 Dec 2016 11:30:15 -0600 Subject: [PATCH 002/236] Another little chunk Y just don know how to translate stack and heap to Spanish --- README-es.md | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/README-es.md b/README-es.md index a3f2ab4a2c..8f840c7218 100644 --- a/README-es.md +++ b/README-es.md @@ -2,7 +2,7 @@ Version original: [Inglés](README.md) -## Qué es? +## ¿Qué es? Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. @@ -28,11 +28,11 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s --- -## Table of Contents +## Tabla de Contenidos -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) +- [¿Qué es?](#qué-es) +- [¿Por qué usarlo?](#por-qué-usarlo) +- [Cómo-usarlo](#cómo-usarlo) - [Get in a Googley Mood](#get-in-a-googley-mood) - [Did I Get the Job?](#did-i-get-the-job) - [Follow Along with Me](#follow-along-with-me) @@ -151,27 +151,27 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s --- -## Why use it? +## ¿Por qué usarlo? -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. +Estoy siguiendo este plan para prepararme para mi entrevista en Google. He estado construyendo la web, construyendo +servicios, e iniciando empresas desde 1997. Tengo un grado en economía, no un grado en ciencias de los computadores. He sido +muy exitoso en mi carrera, pero quiero trabajar en Google. Quiero progresar dentro de sistemas más grandes +y tener un entendimiento real de ciencias de los computadores, eficiencia algorítmica, rendimiento de estructuras de datos, +lenguajes de bajo nivel, y cómo todo esto funciona. Y si tú no sabes alguno de estos, Google no te contratará. -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Cuando comencé este proyecto, no sabía la diferencia entre **un stack y un heap**, no conocía la notación Big-O, nada acerca de árboles, ni cómo +cruzar una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no sería muy bueno. +Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban +realmente. Yo nunca tuve que manejar memoria a menos que un proceso que yo estaba corriendo diera un error de “out of +memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y +miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará +meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. -## How to use it +## Cómo usarlo -Everything below is an outline, and you should tackle the items in order from top to bottom. +Todo lo que aparece abajo es un plan, y deberías abordar los elementos en orden de arriba a abajo. I'm using Github's special markdown flavor, including tasks lists to check progress. From 21cc2805a6b98358cf8be00e0430ad5ea89b903f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:06:32 +0100 Subject: [PATCH 003/236] Chunk 4 Issue #2 --- README-es.md | 27 +++++++++++++-------------- 1 file changed, 13 insertions(+), 14 deletions(-) diff --git a/README-es.md b/README-es.md index 8f840c7218..663ee7bdc0 100644 --- a/README-es.md +++ b/README-es.md @@ -33,9 +33,9 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [¿Qué es?](#qué-es) - [¿Por qué usarlo?](#por-qué-usarlo) - [Cómo-usarlo](#cómo-usarlo) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) +- [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) +- [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) +- [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) - [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) - [About Google](#about-google) - [About Video Resources](#about-video-resources) @@ -198,26 +198,25 @@ I'm using Github's special markdown flavor, including tasks lists to check progr [More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Get in a Googley Mood +## Envuelvete en la googlemanía -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. +Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" (o dos) y mantente enfocado en la meta. -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) +[![Futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) -## Did I Get the Job? +## ¿Cómo conseguí el trabajo en Google? -I haven't applied yet. +!Aun no he aplicado!. -Right now I'm doing programming problems all day long. That will continue for a few weeks, and then I'll -apply through a referral I've been holding onto since February (yes, February). +Ahora estoy haciendo problemas de programación todo el día y continuarña las próximas por un par de semanas más, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). - Thanks for the referral, JP. +Gracias la la perosna que me esta recomendando, JP. -## Follow Along with Me +## Sigue el progreso conmigo -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) +Mi breve historía: [¿Por que estudie a tiempo completo por 8 meses para una entrevista en Gooogle?](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) -I'm on the journey, too. Follow along: +Aún sigo estudiando, sigue el progresso en: - **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) - Twitter: [@googleyasheck](https://twitter.com/googleyasheck) From f576221d96f8e719aa0deefad31fa63e77fc3a3b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:09:55 +0100 Subject: [PATCH 004/236] Fix grammar --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index 663ee7bdc0..effd1104b5 100644 --- a/README-es.md +++ b/README-es.md @@ -208,9 +208,9 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi !Aun no he aplicado!. -Ahora estoy haciendo problemas de programación todo el día y continuarña las próximas por un par de semanas más, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). +Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias la la perosna que me esta recomendando, JP. +Gracias la perosna que me esta recomendando, JP. ## Sigue el progreso conmigo From 9103f43e02f5c6d330de1c29071df3e8ca2d6dad Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:12:44 +0100 Subject: [PATCH 005/236] Add missing "a" --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index effd1104b5..8e5c6a892b 100644 --- a/README-es.md +++ b/README-es.md @@ -210,7 +210,7 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias la perosna que me esta recomendando, JP. +Gracias a la perosna que me esta recomendando, JP. ## Sigue el progreso conmigo From f18887cafa19b676ee7da7c20f8c451d64f4843a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Daniel=20Andr=C3=A9s=20P=C3=A9rez=20P=C3=A9rez?= Date: Wed, 21 Dec 2016 21:13:48 +0100 Subject: [PATCH 006/236] Fix "persona" --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index 8e5c6a892b..f0fc608988 100644 --- a/README-es.md +++ b/README-es.md @@ -210,7 +210,7 @@ Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-intervi Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). -Gracias a la perosna que me esta recomendando, JP. +Gracias a la persona que me esta recomendando, JP. ## Sigue el progreso conmigo From 6654cb7b176bd9ec1f1485a80a672307ca1a9ebe Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Wed, 21 Dec 2016 22:06:23 +0000 Subject: [PATCH 007/236] Closes #3 --- README-es.md | 114 ++++++++++++++++++++++++++------------------------- 1 file changed, 58 insertions(+), 56 deletions(-) diff --git a/README-es.md b/README-es.md index f0fc608988..de3b94b28c 100644 --- a/README-es.md +++ b/README-es.md @@ -36,10 +36,10 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) - [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) - [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) +- [No pienses que no eres suficientemente inteligente](#no-pienses-que-no-eres-suficientemente-inteligente) +- [Acerca de Google](#acerca-de-google) +- [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) +- [Prepárate para la entrevista](#preparate-para-la-entrevista) - [Pick One Language for the Interview](#pick-one-language-for-the-interview) - [Book List](#book-list) - [Before you Get Started](#before-you-get-started) @@ -226,68 +226,70 @@ Aún sigo estudiando, sigue el progresso en: ![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. -- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) +## No pienses que no eres suficientemente inteligente +- Los ingenieros de Google son inteligentes, pero muchos tienen la inseguridad de que no son suficientemente inteligentes, incluso trabajando en Google. +- [El mito del genio en programación](https://www.youtube.com/watch?v=0SARbwvhupQ) -## About Google +## Acerca de Google -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) +- [ ] Para Estudiantes - [Trabaja en Google: Guía de desarrollo técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) +- [ ] Como funciona el motor de búsqueda: + - [ ] [La evolucion (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) + - [ ] [Como funciona - Historia](https://www.google.com/insidesearch/howsearchworks/thestory/) + - [ ] [Como funciona](https://www.google.com/insidesearch/howsearchworks/) + - [ ] [Como funciona - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) + - [ ] [Como Google hace mejoras en su algoritmo (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) - [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) + - [ ] [Como Google afrontó el móvil](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) + - [ ] [El estudio secreto de Google para averiguar lo que necesitamos](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) + - [ ] [Google sera tu cerebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) + - [ ] [La mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) +- [ ] [Libro: Como funciona Google](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) +- [ ] [Hecho por Google comunicado - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) -## About Video Resources +## Acerca de los recursos en vídeo -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. +Algunos vídeos estan disponibles sólo al inscribirte en Coursera, EdX o Lynda.com. Éstos se llaman MOOCs (Massive Open Online Courses, +Cursos en línea abiertos masivos). +A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. +Los cursos de Lynda.com no son gratis. - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. + Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como video s de YouTube + para acompañar los videos de cursos online. + Me gusta usar recursos procedentes de universidades. - -## Interview Process & General Interview Prep +## Prepárate para la entrevista - [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Prep Courses: - - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: + - [ ] [Como trabajar en Google: Prepara la entrevista de ingeniero (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) + - [ ] [Como trabajar en Google: Ejemplo de entrevista de ingeniero (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) + - [ ] [Como trabajar en Google - Sesion de Coaching para el Candidato (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) + - [ ] [Reclutadores de Google, comparten trucos para la entrevista (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) + - [ ] [Como trabajar en Google: Preparacion de Currículum (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) + +- [ ] Artículos: + - [ ] [Ser un Googler en tres pasos](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) + - [ ] [Consigue ese trabajo en Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) + - Todas las cosas que menciona que necesitas saber están en una lista más abajo + - [ ] _(Desactualizado)_ [Como conseguir un trabajo en Google, Preguntas de Entrevista, Processo de selección](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) + - [ ] [Preguntas para la selección por teléfono](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) + +- [ ] Cursos de preparacion: + - [ ] [Entrevista para Ingeniero de Software al descubierto (Curso de pago)](https://www.udemy.com/software-engineer-interview-unleashed): + - Prepárate para entrevistas de Ingeniero de Software con consejos de un entrevistador de Google. + +- [ ] Adicional (No sugerido por Google, pero los añadí): + - [ ] [ABC: Programa siempre que puedas](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) + - [ ] [Cuatro pasos a Google sin tener un grado](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) + - [ ] [Whiteboarding (Usar una pizarra blanca)](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) + - [ ] [Que piensa Google de contratar personas, Gestión y Cultura](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) + - [ ] [Whiteboarding efectivo durante entrevistas de programacion](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) + - [ ] Hacer muy bien la entrevista de programación Set 1: - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) + - [ ] [Cracking the Coding Interview con el autor Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) + - [ ] Como conseguir un trabajo en una de las 4 grandes: + - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) ## Pick One Language for the Interview From d551c9ea12ee8f2e4fd42a65d2b8208e3f812d2b Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Thu, 22 Dec 2016 07:38:04 +0000 Subject: [PATCH 008/236] Some updates re pr comments --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index de3b94b28c..4fdc75a428 100644 --- a/README-es.md +++ b/README-es.md @@ -4,12 +4,12 @@ Version original: [Inglés](README.md) ## ¿Qué es? -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) +Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de la computación) a ingeniero de software en Google. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -Esta lista tan larga, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que +Esta larga lista, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que tienes que saber. Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" From f06480a9455b80f650ce607d5a11c367cf6cbab9 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Fri, 23 Dec 2016 07:19:59 +0000 Subject: [PATCH 009/236] chunk more knowledge --- README-es.md | 70 ++++++++++++++++++++++++++-------------------------- 1 file changed, 35 insertions(+), 35 deletions(-) diff --git a/README-es.md b/README-es.md index 4fdc75a428..04e37e02a1 100644 --- a/README-es.md +++ b/README-es.md @@ -53,9 +53,9 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) +- [Para saber más](#para-saber-mas) + - [Búsqueda binaria](#busqueda-binaria) + - [Operaciones bit a bit](#operaciones-bit-a-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) - [Binary search trees: BSTs](#binary-search-trees-bsts) @@ -699,42 +699,42 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - get(key) - remove(key) -## More Knowledge +## Para saber más -- ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion +- ### Búsqueda binaria + - [ ] [Búsqueda binaria (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Búsqueda binaria (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [Detalle](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) + - [ ] Implementacion: + - Búsqueda binaria (En arrays de enteros ordenados) + - Búsqueda binaria con recursividad -- ### Bitwise operations +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) + - [ ] Entiende como manipular bits perfectamente con: &, |, ^, ~, >>, << + - [ ] [Palabras](https://en.wikipedia.org/wiki/Word_(computer_architecture)) + - [ ] Buena introduccion: + [Manipulacion de bits (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [Tutorial de programacion en C 2-10: Operadores bit a bit (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + - [ ] [Manipulacion de bits](https://en.wikipedia.org/wiki/Bit_manipulation) + - [ ] [Operacion bit a bit](https://en.wikipedia.org/wiki/Bitwise_operation) - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: - - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: - - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: - - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + - [ ] [El manipulador de Bits](http://bits.stephan-brumme.com/) + - [ ] [El manipulador de bits interactivo](http://bits.stephan-brumme.com/interactive.html) + - [ ] Complementos de a 2 y de a 1 + - [Binario: Mas y Menos (Porqué utilizamos el complemento a 2) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [Complemento a 1](https://en.wikipedia.org/wiki/Ones%27_complement) + - [Complemento a 2](https://en.wikipedia.org/wiki/Two%27s_complement) + - [ ] Contar bits activados + - [$ maneras de contar bits en un byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [Contar bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) + - [Como contar los bits activados en un entero de 32 bits](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) + - [ ] Redondear a la siguiente potencia de 2: + - [Redondear a la siguiente potencia de 2](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) + - [ ] Intercambiar valores: + - [Intercambio](http://bits.stephan-brumme.com/swap.html) + - [ ] Valor absoluto: + - [Entero absoluto](http://bits.stephan-brumme.com/absInteger.html) ## Trees From e3149f5ad0e2b29847c8c1725341828ec8d6422f Mon Sep 17 00:00:00 2001 From: Rodolfo Rodriguez Date: Fri, 30 Dec 2016 18:01:14 -0600 Subject: [PATCH 010/236] Select a language for the interview -> Spanish --- README-es.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README-es.md b/README-es.md index 04e37e02a1..db9d7d20a2 100644 --- a/README-es.md +++ b/README-es.md @@ -291,31 +291,31 @@ Los cursos de Lynda.com no son gratis. - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) -## Pick One Language for the Interview +## Selecciona un lenguaje para la entrevista -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) +Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: +Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas selecciones son sólidas: - C++ - Java - Python -You could also use these, but read around first. There may be caveats: +También podrías usar estos. Pueden haber advertencias: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable. +Necesitas ser muy cómodo en el lenguaje y conocerlo bien. -Read more about choices: +Lee mas sobre elecciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview [See language resources here](programming-language-resources.md) -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. +Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. ## Book List From 49927367e7f326ef8bd0851e924f45a90f8c641a Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 26 Dec 2016 17:07:20 +0000 Subject: [PATCH 011/236] Chunk 9 --- README-es.md | 356 +++++++++++++++++++++++++-------------------------- 1 file changed, 178 insertions(+), 178 deletions(-) diff --git a/README-es.md b/README-es.md index 04e37e02a1..db604f5a4d 100644 --- a/README-es.md +++ b/README-es.md @@ -145,7 +145,7 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - [Go](#go) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) @@ -891,7 +891,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +If you need more detail on this subject, see "Sorting" section in [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) ## Graphs @@ -957,44 +957,44 @@ Graphs can be used to represent many problems in computer science, so this secti You'll get more graph practice in Skiena's book (see Books section below) and the interview books -## Even More Knowledge - -- ### Recursion - - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? - - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. - - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: +## Aún más conocimiento + +- ### Recursividad + - [ ] Artículos de Stanford acerca de recursividad y backtracking: + - [ ] [Artículo 8 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Artículo 9 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Artículo 10 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Artículo 11 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - Cuando es apropiado usarla + - Recursividad de cola + - [ ] [Que es recursividad de cola Por qué es tan mala?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) + - [ ] [Recursividad de cola (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + +- ### Programacion orientada a objetos + - [ ] [Opcional: UML 2.0 (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Ingeniería de Software orientada a objetos (OOSE): Desarrollo de Software usando UML y Java (21 videos): + - Puedes obviar esto si tienes un buen conocimiento de prácticas de diseño de POO. + - [OOSE: Desarrollo de Software usando UML y Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] Principios SOLID de Desarrollo de Software: + - [ ] [Principios SOLID en diseño ágil y orientado a objetos, por Bob Martin (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [Patrones de diseño SOLID en C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) + - [ ] [Principios SOLID (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] S - [Single Responsibility Principle (Principio de responsabilidad única)](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) + - [Para saber más](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) + - [ ] O - [Open/Closed Principle (Principio de abierto/cerrado)](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) + - [ ] L - [Liskov Substitution Principle (Principio de sustitucion de Liskov)](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) + - [ ] I - [Interface segregation principle (Principio de segregacion de interfaces)](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [Principio de segregacion de interfaces en 5 minutos (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) + - [ ] D -[Dependency Inversion principle ()Principio de Inversion de Dependencia](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [Qué es el principio de inversion de dependencia y por qué es importante?](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) + - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) + +- ### Patrones de diseño + - [ ] [Breve repaso de UML (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] Apréndete estos patrones: - [ ] strategy - [ ] singleton - [ ] adapter @@ -1012,152 +1012,152 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] iterator - [ ] composite - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] [Capítulo 6 (Parte 1) - Patrones (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Capítulo 6 (Parte 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Capítulo 6 (Parte 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series de videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Patrones Head First](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) + - Sé que "Design Patterns: Elements of Reusable Object-Oriented Software" es el libro más relevante, pero "Head First" esta muy bien para los que empiezan con POO + - [ ] [Link interesante: 101 Patrones de diseno & Trucos para desarrolladores](https://sourcemaking.com/design-patterns-and-tips) + +- ### Combinatoria (n en k) & Probabilidad + - [ ] [Habilidades matemáticas: Factoriales, Permutaciones y Combinaciones (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Probabilidad (un video de Make School)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [More Probability and Markov Chains (un video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - - Course layout: - - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Complete and Approximation Algorithms - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - Estructura del curso: + - [ ] [Probabilidad teórica básica](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) + - Solo los 41 videos - (Son simples y cortos): + - [ ] [Probabilidad Explicación (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + +- ### NP, NP-Completo and Algoritmos de aproximación + - Conocer los problemas NP-Completo más famosos, como el problema del viajante o el de la mochila, y ser capaz de + reconocerlos cuando un entrevistador pregunta por ellos disimuladamente. + - Saber que es y en que consiste un problema NP-Completo. + - [ ] [Complejidad Computacional (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] [Algoritmos voraces II & Introducción a NP-Completo (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP-Completo II & Reducciones (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP-Completo III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP-Completo IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik discusses near-optimal solutions to traveling salesman problem: - - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. - -- ### Caches - - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): - - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [reference](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Papers - - These are Google papers and well-known papers. - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 - - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available - - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + - [ ] [CSE373 2012 - Lecture 23 - Introducción a NP-Completo (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - Demostrar problemas NP-Completo (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - Problema NP-Completo (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complejidad: P, NP, NP-completo, Reducciones (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complejidad: Algoritmos de aproximación (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complejidad: Algoritmos de parámetro fijo (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - Peter Norvik habla sobre soluciones casi óptimas para el problema del viajante: + - [Cuaderno Jupyter](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) + - Páginas 1048 - 1140 de [CLRS](https://en.wikipedia.org/wiki/Introduction_to_Algorithms) si lo tienes a mano. + +- ### Memoria Caché + - [ ] Menos usado recientemente (LRU): + - [ ] [La magia de la caché LRU (100 días de desarrollador de Google) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementando LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 Caché LRU (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] Caché de la CPU: + - [ ] [MIT 6.004 L15: La jerarquía de la memoria (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Caché - Problemas y situaciones (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- ### Hilos y procesos + - [ ] Ciencias de la computación 162 - Sistemas operativos (25 videos): + - Para hilos y procesos ver los videos 1-11 + - [Sistemas Operativos y Programación de Sistemas (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [Cuál es la diferencia entre un proceso y un hilo?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) + - Cubre / Abarca: + - Procesos, hilos y Concurrencia + - Diferencia entre hilos y procesos + - Procesos + - Hilos + - Bloqueos + - Mutexes (Cierre de exclusión mutua) + - Semáforos + - Monitores de concurrencia + - Como funcionan + - Deadlock (Bloqueo mutuo) + - Livelock (Bloqueo mutuo, variante de deadlock) + - Actividad de la CPU, Interrupciones, cambios de contexto + - Concurrencia moderna con procesadores multi núcleo + - Demanda de recursos de un proceso (memoria: Códigos, almacenamiento estático, stack, heap, descriptores de archivo e I/O (Entrada / Salida)) + - Demanda de recursos de los hilos (Comparte los anteriores, a excepción de stack, con otros hilos en el mismo proceso, pero cada uno tiene su propio contador de programa, contador de stack, registros, y stack) + - Forking realmente es copia en escritura (read-only) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. + - Cambio de contextos + - Como se inicia el cambio de contexto por el sistema operativo y el hardware que hay debajo + - [ ] [Hilos en C++ (Serie - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] Concurrencia en Python (videos): + - [ ] [Series pequeñas acerca de hilos](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) + - [ ] [Hilos en Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Entendiendo GIL en Python (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) + - [Referencia](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Concurrencia en Python desde el principio: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) + - [ ] [Keynote David Beazley - Temas interesantes (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) + - [ ] [Mutex en Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Artículos y publicaciones + - Estos provienen de Google y otros muy conocidos. + - Leerlos de principio a fin, tratando de comprenderlos complementamente, quizás te lleve más tiempo del que puedas disponer. Te recomiendo que seas selectivo con los artículos y sus secciones. + - [ ] [1978: Comunicación en procesos secuenciales](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) + - [Implementación en GO](https://godoc.org/github.com/thomas11/csp) + - [Te gustan los artículos clásicos?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [2003: El sistema de archivos de Google](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) + - Reemplazado por Colossus en 2012 + - [ ] [2004: MapReduce: Procesamiento de datos simplificado en grandes clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) + - casi reemplazado por Cloud Dataflow? + - [ ] [2007: Lo que cualquier programador debe saber acerca de la memoria (bastante extenso, el autor recomienda saltarse algunas secciones)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2012: Colossus de Google](https://www.wired.com/2012/07/google-colossus/) + - Publicaciones no disponible + - [ ] 2012: AddressSanitizer: Un sanity check muy rápido para direcciones: + - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [Video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: La base de datos distribuida de Google: + - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [Video](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: El alto tipo de interés de la deuda tecnológica (The High-Interest Credit Card of Technical Debt)](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) + - [ ] [2015: Líneas de ejecución continuas en Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) + - [ ] [2015: Alta disponibilidad a gran escala: Construyendo la infraestructura de datos para los anuncios y publicidad de Google](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) + - [ ] [2015: TensorFlow: Machine Learning a gran escala en sistemas distribuidos heterogéneos](http://download.tensorflow.org/paper/whitepaper2015.pdf ) + - [ ] [2015: Como los desarrolladores buscan código: Un caso de estudio](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) + - [ ] [2016: Borg, Omega, y Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - ### Testing - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) - - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Scheduling - - in an OS, how it works - - can be gleaned from Operating System videos - -- ### Implement system routines - - understand what lies beneath the programming APIs you use - - can you implement them? - -- ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - Abarcar / Cubrir: + - Como funciona el testing + - Que son mocks de objetos + - Que son tests de integracion + - Que es inyección de dependencias + - [ ] [Testing de Software Ágil con James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Artículo de James Bach acerca de Testing de Software (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Desarrollo conducido por tests (Test-Driven Development, TDD) - Eso no fue lo que quisimos decir (video)](https://vimeo.com/83960706) + - [Diapositivas](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) + - [ ] [TDD está muerto. Larga vida al testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) + - [ ] [TDD está muerto? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [Series (152 videos) - No todos son necesarios (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [TDD para Web con Python](http://www.obeythetestinggoat.com/pages/book.html#toc) + - [ ] Inyeccion de dependencias: + - [ ] [Video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao del Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) + - [ ] [Como escribir tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) + +- ### Planificador + - En el sistema operativo, como funciona + - Puede ser extraído de videos acerca de sistemas operativos + +- ### Implementar rutinas del sistema + - Entender que hay debajo de las APIs de programación que utilizas + - Las puedes implementar? + +- ### Búsqueda de strings y manipulación + - [ ] [Sedgewick - Array de sufijos (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Búsqueda de substrings (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [1. Introducción a la búsqueda de substrings](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [2. Búsqueda de substrings por fuerza bruta](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + - [ ] [Búsqueda en texto por patrón (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + Si necesitas más detalles acerca de este tema, ve a la sección "String Matching" en [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) --- @@ -1881,7 +1881,7 @@ You're never really done. -- -## Additional Detail on Some Subjects +## Información adicional en algunos temas I added these to reinforce some ideas already presented above, but didn't want to include them above because it's just too much. It's easy to overdo it on a subject. From 6e6c5aee1e33f77ea2328b1a21598ca4ffa83f9a Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 13:56:01 +0100 Subject: [PATCH 012/236] README-es.md moved to translations folder --- README-es.md => translations/README-es.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename README-es.md => translations/README-es.md (99%) diff --git a/README-es.md b/translations/README-es.md similarity index 99% rename from README-es.md rename to translations/README-es.md index a9bd641ff3..6a0e5563fb 100644 --- a/README-es.md +++ b/translations/README-es.md @@ -1,6 +1,6 @@ # Google Interview University -Version original: [Inglés](README.md) +Version original: [Inglés](../README.md) ## ¿Qué es? @@ -313,7 +313,7 @@ Lee mas sobre elecciones: - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[See language resources here](programming-language-resources.md) +[See language resources here](../programming-language-resources.md) Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. @@ -369,7 +369,7 @@ If you have more time (I want this book): If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. **You can skip all the video lectures in this project**, unless you'd like a review. -[Additional language-specific resources here.](programming-language-resources.md) +[Additional language-specific resources here.](../programming-language-resources.md) ### C++ From 2b1d003a7918de7cf0dd8bcf266dbfc7ecf08a09 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 13:58:34 +0100 Subject: [PATCH 013/236] MiguelMB comment --- translations/README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-es.md b/translations/README-es.md index 6a0e5563fb..06d3c75c37 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -254,7 +254,7 @@ Cursos en línea abiertos masivos). A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. Los cursos de Lynda.com no son gratis. - Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como video s de YouTube + Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como videos de YouTube para acompañar los videos de cursos online. Me gusta usar recursos procedentes de universidades. From a798a0f2b69f842acb8a8c1dea733eeec3bc0fc9 Mon Sep 17 00:00:00 2001 From: Daniel Ossorio Date: Mon, 2 Jan 2017 14:43:37 +0100 Subject: [PATCH 014/236] Chunk branch updated --- translations/README-es.md | 52 +++++++++++++++++++-------------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index 06d3c75c37..f2e810d954 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -32,7 +32,7 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [¿Qué es?](#qué-es) - [¿Por qué usarlo?](#por-qué-usarlo) -- [Cómo-usarlo](#cómo-usarlo) +- [Cómo usarlo](#cómo-usarlo) - [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) - [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) - [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) @@ -40,8 +40,8 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Acerca de Google](#acerca-de-google) - [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) - [Prepárate para la entrevista](#preparate-para-la-entrevista) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) +- [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) +- [Lista de libros](#lista-de-libros) - [Before you Get Started](#before-you-get-started) - [What you Won't See Covered](#what-you-wont-see-covered) - [Prerequisite Knowledge](#prerequisite-knowledge) @@ -291,53 +291,53 @@ Los cursos de Lynda.com no son gratis. - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) -## Selecciona un lenguaje para la entrevista +## Escoge un lenguaje para la entrevista Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) -Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas selecciones son sólidas: +Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas son buenas elecciones: - C++ - Java - Python -También podrías usar estos. Pueden haber advertencias: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby -Necesitas ser muy cómodo en el lenguaje y conocerlo bien. +Debes sentirte muy cómodo con el lenguaje y ser experto. -Lee mas sobre elecciones: +Lee más acerca de opciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[See language resources here](../programming-language-resources.md) +[Ve recursos de programas aquí](../programming-language-resources.md) -Verás algo de C, C++, y aprendizaje Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve abajo. +Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. -## Book List +## Lista de libros -This is a shorter list than what I used. This is abbreviated to save you time. +Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarte tiempo. -### Interview Prep +### Preparación para la entrevista -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - recommended in Google candidate coaching - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". +- [ ] [Entrevistas de Programación Expuestas: Secretos para Conseguir tu Próximo Trabajo, 2a Edición](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - respuestas en C++ y Java + - recommendado en entrenamiento para candidato Goole + - éste es un buen calentamiento para Cracking la Entrevista de Programación + - no muy difícil, la mayoría de los problemas podrían ser más fáciles que lo que verás en una entrevista (por lo que he leído) +- [ ] [Cracking la Entrevista de Programación, 6a Edición](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - respuestas en Java + - recommendado en el [sitio de Google Careers](https://www.google.com/about/careers/how-we-hire/interview/) + - si ves personas que hacen referencia a "El Currículum Google", éste era un libro reemplazado por "Cracking la Entrevista de Programación". -If you have tons of extra time: +Si tienes mucho tiempo extra: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. +- [ ] [Elementos de las Entrevistas de Trabajo](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) + - todo el código está en C++, muy bueno si has optado por C++ en tu entrevista + - un libro sobre solución de problemas en general. ### Computer Architecture From d244e0e390dc92dbb0dc4a7da56f5dce87aac6f9 Mon Sep 17 00:00:00 2001 From: Severiano Jaramillo Quintanar Date: Mon, 2 Jan 2017 21:24:15 -0600 Subject: [PATCH 015/236] Traslated chunk 6.2 closes #31 Translated Before you Get Started and What you Won't See Covered --- translations/README-es.md | 64 +++++++++++++++++++-------------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index f2e810d954..87097080ea 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -42,8 +42,8 @@ Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de s - [Prepárate para la entrevista](#preparate-para-la-entrevista) - [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) +- [Antes de que Comiences](#antes-de-que-comiences) +- [Lo que no Verás Cubierto](#lo-que-no-verás-cubierto) - [Prerequisite Knowledge](#prerequisite-knowledge) - [The Daily Plan](#the-daily-plan) - [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) @@ -451,60 +451,60 @@ OR: - Would rather spend time on coding problems from another book or online coding problems. -## Before you Get Started +## Antes de que Comiences -This list grew over many months, and yes, it kind of got out of hand. +Esta lista creció durante muchos meses, y sí, más o menos se salió de mis manos. -Here are some mistakes I made so you'll have a better experience. +Aquí están algunos errores que cometí para que tú tengas una mejor experiencia. -### 1. You Won't Remember it All +### 1. No lo Recordarás Todo -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +Ví horas de videos y tomé muchas notas, y meses después había muchas cosas que no recordaba. Pasé tres días repasando +mis notas y haciendo tarjetas de memoria para así poder repasar. -Read please so you won't make my mistakes: +Lee por favor para que no cometas mis errores: -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) +[Reteniendo Conocimiento en Ciencias de la Computación](https://googleyasheck.com/retaining-computer-science-knowledge/) -### 2. Use Flashcards +### 2. Usa Tarjetas de Memoria -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +Para resolver el problema, hice un sitio para pequeñas tarjetas de memoria donde podía agregar tarjetas de 2 tipos: generales y de código. +Cada tarjeta tiene un formato diferente. -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +Hice un sitio web para móviles para que pudiera revisar en mi teléfono o tableta, donde sea que estaba. -Make your own for free: +Haz el tuyo gratis: -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. +- [Repositorio de sitio de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards) +- [Mi base de datos de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Toma en cuenta que yo fui muy lejos y tengo tarjetas cubriendo todo desde lenguaje ensamblador y Python trivia hasta aprendizaje de máquinas y estadística. Es mucho para lo requerido por Google. -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +**Nota en tarjetas de memoria:** La primera vez que te das cuenta que conoces la respuesta, no la marques como conocida. Tienes que ver la +misma carta y responderla correctamente muchas veces antes de que realmente la conozcas. La repetición pondrá ese conocimiento más profundo en +tu cerebro. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. +Una alternativa a usar mi sitio de tarjetas de memoria es [Anki](http://ankisrs.net/), el cuál me han recomendado numerosas veces. Usa un sistema de repetición que te ayuda a recordar. +Es amigable con el usuario, disponible en todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 USD para iOS pero es gratis para otras plataformas. -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) +Mi base de datos de tarjetas de memoria en formato Anki: https://ankiweb.net/shared/info/25173560 (gracias [@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. Revisa, revisa, revisa -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. +Yo mantengo un conjunto de hojas de trucos en ASCII, pila OSI, notación Big-O, y más. Las estudio cuando tengo un poco de tiempo libre. -Take a break from programming problems for a half hour and go through your flashcards. +Toma un descanso de problemas de programación por media hora y revisa tus tarjetas de memoria. -### 4. Focus +### 4. Enfócate -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. +Hay muchas distracciones que pueden quitarte tiempo valioso. El enfoque y la concentración son difíciles. -## What you won't see covered +## Lo que no Verás Cubierto -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: +Esta gran lista comenzó como una lista personal de cosas por hacer hecha de notas de entrenamiento para entrevista en Google. Estas son tecnologas predominantes +pero no fueron mencionadas en esas notas. - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, y otras tecnologías de front-end. ## The Daily Plan From c461e4ab840f5b179b6a253282c1b2a10bfa3a88 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 3 Jan 2017 05:38:14 -0200 Subject: [PATCH 016/236] added pt-br readme file and made initial translation --- translations/README-ptbr.md | 2025 +++++++++++++++++++++++++++++++++++ 1 file changed, 2025 insertions(+) create mode 100644 translations/README-ptbr.md diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md new file mode 100644 index 0000000000..299f56c817 --- /dev/null +++ b/translations/README-ptbr.md @@ -0,0 +1,2025 @@ +# Universidade de Entrevista da Google + +Original: [Inglês](https://github.com/jwasham/google-interview-university/blob/master/README.md) + +## O que é isso? + +Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, sem formação em Ciência da Computação) à engenheiro de software da Google. + +![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) + +This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. +There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from +Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected +sometimes word-for-word in Google's coaching notes. + +I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements +from information received from my contact at Google. This is meant for **new software engineers** or those switching from +software/web development to software engineering (where computer science knowledge is required). If you have +many years of experience and are claiming many years of software engineering experience, expect a harder interview. +[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). + +If you have many years of software/web development experience, note that Google views software engineering as +different from software/web development and they require computer science knowledge. + +If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). + +--- + +## Table of Contents + +- [O que é isso?](#o-que-é-isso) +- [Why use it?](#why-use-it) +- [How to use it](#how-to-use-it) +- [Get in a Googley Mood](#get-in-a-googley-mood) +- [Did I Get the Job?](#did-i-get-the-job) +- [Follow Along with Me](#follow-along-with-me) +- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) +- [About Google](#about-google) +- [About Video Resources](#about-video-resources) +- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) +- [Pick One Language for the Interview](#pick-one-language-for-the-interview) +- [Book List](#book-list) +- [Before you Get Started](#before-you-get-started) +- [What you Won't See Covered](#what-you-wont-see-covered) +- [Prerequisite Knowledge](#prerequisite-knowledge) +- [The Daily Plan](#the-daily-plan) +- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) +- [Data Structures](#data-structures) + - [Arrays](#arrays) + - [Linked Lists](#linked-lists) + - [Stack](#stack) + - [Queue](#queue) + - [Hash table](#hash-table) +- [More Knowledge](#more-knowledge) + - [Binary search](#binary-search) + - [Bitwise operations](#bitwise-operations) +- [Trees](#trees) + - [Trees - Notes & Background](#trees---notes--background) + - [Binary search trees: BSTs](#binary-search-trees-bsts) + - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) + - balanced search trees (general concept, not details) + - traversals: preorder, inorder, postorder, BFS, DFS +- [Sorting](#sorting) + - selection + - insertion + - heapsort + - quicksort + - merge sort +- [Graphs](#graphs) + - directed + - undirected + - adjacency matrix + - adjacency list + - traversals: BFS, DFS +- [Even More Knowledge](#even-more-knowledge) + - [Recursion](#recursion) + - [Dynamic Programming](#dynamic-programming) + - [Object-Oriented Programming](#object-oriented-programming) + - [Design Patterns](#design-patterns) + - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) + - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) + - [Caches](#caches) + - [Processes and Threads](#processes-and-threads) + - [Papers](#papers) + - [Testing](#testing) + - [Scheduling](#scheduling) + - [Implement system routines](#implement-system-routines) + - [String searching & manipulations](#string-searching--manipulations) +- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) +- [Final Review](#final-review) +- [Coding Question Practice](#coding-question-practice) +- [Coding exercises/challenges](#coding-exerciseschallenges) +- [Once you're closer to the interview](#once-youre-closer-to-the-interview) +- [Your Resume](#your-resume) +- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) +- [Have questions for the interviewer](#have-questions-for-the-interviewer) +- [Once You've Got The Job](#once-youve-got-the-job) + +---------------- Everything below this point is optional ---------------- + +- [Additional Books](#additional-books) +- [Additional Learning](#additional-learning) + - [Compilers](#compilers) + - [Floating Point Numbers](#floating-point-numbers) + - [Unicode](#unicode) + - [Endianness](#endianness) + - [Emacs and vi(m)](#emacs-and-vim) + - [Unix command line tools](#unix-command-line-tools) + - [Information theory](#information-theory) + - [Parity & Hamming Code](#parity--hamming-code) + - [Entropy](#entropy) + - [Cryptography](#cryptography) + - [Compression](#compression) + - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) + - [Computer Security](#computer-security) + - [Garbage collection](#garbage-collection) + - [Parallel Programming](#parallel-programming) + - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [Fast Fourier Transform](#fast-fourier-transform) + - [Bloom Filter](#bloom-filter) + - [HyperLogLog](#hyperloglog) + - [Locality-Sensitive Hashing](#locality-sensitive-hashing) + - [van Emde Boas Trees](#van-emde-boas-trees) + - [Augmented Data Structures](#augmented-data-structures) + - [Tries](#tries) + - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Balanced search trees](#balanced-search-trees) + - AVL trees + - Splay trees + - Red/black trees + - 2-3 search trees + - 2-3-4 Trees (aka 2-4 trees) + - N-ary (K-ary, M-ary) trees + - B-Trees + - [k-D Trees](#k-d-trees) + - [Skip lists](#skip-lists) + - [Network Flows](#network-flows) + - [Disjoint Sets & Union Find](#disjoint-sets--union-find) + - [Math for Fast Processing](#math-for-fast-processing) + - [Treap](#treap) + - [Linear Programming](#linear-programming) + - [Geometry, Convex hull](#geometry-convex-hull) + - [Discrete math](#discrete-math) + - [Machine Learning](#machine-learning) + - [Go](#go) +- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Video Series](#video-series) +- [Computer Science Courses](#computer-science-courses) + +--- + +## Why use it? + +I'm following this plan to prepare for my Google interview. I've been building the web, building +services, and launching startups since 1997. I have an economics degree, not a CS degree. I've +been very successful in my career, but I want to work at Google. I want to progress into larger systems +and get a real understanding of computer systems, algorithmic efficiency, data structure performance, +low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. + +When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to +traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. +Every data structure I've ever used was built into the language, and I didn't know how they worked +under the hood at all. I've never had to manage memory unless a process I was running would give an "out of +memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and +thousands of associative arrays, but I've never created data structures from scratch. + +But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me +months. If you are familiar with a lot of this already it will take you a lot less time. + +## How to use it + +Everything below is an outline, and you should tackle the items in order from top to bottom. + +I'm using Github's special markdown flavor, including tasks lists to check progress. + +**Create a new branch so you can check items like this, just put an x in the brackets: [x]** + + + Fork a branch and follow the commands below + +`git checkout -b progress` + +`git remote add jwasham https://github.com/jwasham/google-interview-university` + +`git fetch --all` + + Mark all boxes with X after you completed your changes + +`git add . ` + +`git commit -m "Marked x" ` + +`git rebase jwasham/master ` + +`git push --force ` + +[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) + +## Get in a Googley Mood + +Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. + +[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) + +## Did I Get the Job? + +I'm in the queue right now. Hope to interview soon. + + Thanks for the referral, JP. + +## Follow Along with Me + +My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) + +I'm on the journey, too. Follow along: + +- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) +- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) +- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) +- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) +- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) + +![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) + +## Don't feel you aren't smart enough +- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. +- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) +- [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) + +## About Google + +- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) +- [ ] How Search Works: + - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) + - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) + - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) + - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) + - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) +- [ ] Series: + - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) + - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) + - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) + - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) +- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) +- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) + +## About Video Resources + +Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. +Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. + + I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. + I like using university lectures. + + +## Interview Process & General Interview Prep + +- [ ] Videos: + - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) + - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) + - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) + - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) + - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) + +- [ ] Articles: + - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) + - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) + - all the things he mentions that you need to know are listed below + - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) + - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) + +- [ ] Prep Courses: + - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): + - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. + +- [ ] Additional (not suggested by Google but I added): + - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) + - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) + - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) + - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) + - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) + - [ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) + - [ ] How to Get a Job at the Big 4: + - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) + +## Pick One Language for the Interview + +I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) + +You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: + +- C++ +- Java +- Python + +You could also use these, but read around first. There may be caveats: + +- JavaScript +- Ruby + +You need to be very comfortable in the language and be knowledgeable. + +Read more about choices: +- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ +- http://blog.codingforinterviews.com/best-programming-language-jobs/ +- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview + +[See language resources here](programming-language-resources.md) + +You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. + +## Book List + +This is a shorter list than what I used. This is abbreviated to save you time. + +### Interview Prep + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C++ and Java + - recommended in Google candidate coaching + - this is a good warm-up for Cracking the Coding Interview + - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) + - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". + +If you have tons of extra time: + +- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) + - all code is in C++, very good if you're looking to use C++ in your interview + - a good book on problem solving in general. + +### Computer Architecture + +If short on time: + +- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) + - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. + - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. + - These chapters are worth the read to give you a nice foundation: + - Chapter 2 - Numeric Representation + - Chapter 3 - Binary Arithmetic and Bit Operations + - Chapter 4 - Floating-Point Representation + - Chapter 5 - Character Representation + - Chapter 6 - Memory Organization and Access + - Chapter 7 - Composite Data Types and Memory Objects + - Chapter 9 - CPU Architecture + - Chapter 10 - Instruction Set Architecture + - Chapter 11 - Memory Architecture and Organization + +If you have more time (I want this book): + +- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) + - For a richer, more up-to-date (2011), but longer treatment + +### Language Specific + +**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. + +If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. +**You can skip all the video lectures in this project**, unless you'd like a review. + +[Additional language-specific resources here.](programming-language-resources.md) + +### C++ + +I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. + +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) + +If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. + +### Java + +- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) + - videos with book content (and Sedgewick!): + - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) + - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) + +OR: + +- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) + - by Goodrich, Tamassia, Goldwasser + - used as optional text for CS intro course at UC Berkeley + - see my book report on the Python version below. This book covers the same topics. + +### Python + +- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) + - by Goodrich, Tamassia, Goldwasser + - I loved this book. It covered everything and more. + - Pythonic code + - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ + + +### Optional Books + +**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** + +- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) + - As a review and problem recognition + - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. + - This book has 2 parts: + - class textbook on data structures and algorithms + - pros: + - is a good review as any algorithms textbook would be + - nice stories from his experiences solving problems in industry and academia + - code examples in C + - cons: + - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects + - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have + - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. + - algorithm catalog: + - this is the real reason you buy this book. + - about to get to this part. Will update here once I've made my way through it. + - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace + (and important) graph problems are – they should be part of every working programmer's toolkit. The book also + covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half + of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve + them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a + great way to learn how to identify hundreds of problem types." + - Can rent it on kindle + - Half.com is a great resource for textbooks at good prices. + - Answers: + - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) + - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) + - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) + +- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) + - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. + - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." + - Half.com is a great resource for textbooks at good prices. + - aka CLR, sometimes CLRS, because Stein was late to the game + +- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) + - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but + that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. + +- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ + - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - Would rather spend time on coding problems from another book or online coding problems. + + +## Before you Get Started + +This list grew over many months, and yes, it kind of got out of hand. + +Here are some mistakes I made so you'll have a better experience. + +### 1. You Won't Remember it All + +I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going +through my notes and making flashcards so I could review. + +Read please so you won't make my mistakes: + +[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) + +### 2. Use Flashcards + +To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. +Each card has different formatting. + +I made a mobile-first website so I could review on my phone and tablet, wherever I am. + +Make your own for free: + +- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) +- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): + +Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. + +**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the +same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in +your brain. + +An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. +It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. + +My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) + +### 3. Review, review, review + +I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. + +Take a break from programming problems for a half hour and go through your flashcards. + +### 4. Focus + +There are a lot of distractions that can take up valuable time. Focus and concentration are hard. + +## What you won't see covered + +This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent +technologies but were not mentioned in those notes: + +- SQL +- Javascript +- HTML, CSS, and other front-end technologies + +## The Daily Plan + +Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. + +Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: +- C - using structs and functions that take a struct * and something else as args. +- C++ - without using built-in types +- C++ - using built-in types, like STL's std::list for a linked list +- Python - using built-in types (to keep practicing Python) +- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements +- You may do Java or something else, this is just my thing. + +You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). + +Why code in all of these? +- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) +- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) +- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) + +I may not have time to do all of these for every subject, but I'll try. + +You can see my code here: + - [C] (https://github.com/jwasham/practice-c) + - [C++] (https://github.com/jwasham/practice-cpp) + - [Python] (https://github.com/jwasham/practice-python) + +You don't need to memorize the guts of every algorithm. + +Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. + +## Prerequisite Knowledge + +- [ ] **Learn C** + - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. + - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) + - This is a short book, but it will give you a great handle on the C language and if you practice it a little + you'll quickly get proficient. Understanding C helps you understand how programs and memory work. + - [answers to questions](https://github.com/lekkas/c-algorithms) + +- [ ] **How computers process a program:** + - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) + - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) + +## Algorithmic complexity / Big-O / Asymptotic analysis +- nothing to implement +- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) +- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] Skiena: + - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) +- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) +- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) +- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) +- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) +- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) +- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) +- [ ] TopCoder (includes recurrence relations and master theorem): + - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) + - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) +- [ ] [Cheat sheet](http://bigocheatsheet.com/) + + + If some of the lectures are too mathy, you can jump down to the bottom and + watch the discrete mathematics videos to get the background knowledge. + +## Data Structures + +- ### Arrays + - Implement an automatically resizing vector. + - [ ] Description: + - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) + - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) + - [ ] Implement a vector (mutable array with automatic resizing): + - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. + - [ ] new raw data array with allocated memory + - can allocate int array under the hood, just not use its features + - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 + - [ ] size() - number of items + - [ ] capacity() - number of items it can hold + - [ ] is_empty() + - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] push(item) + - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right + - [ ] prepend(item) - can use insert above at index 0 + - [ ] pop() - remove from end, return value + - [ ] delete(index) - delete item at index, shifting all trailing elements left + - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) + - [ ] find(item) - looks for value and returns first index with that value, -1 if not found + - [ ] resize(new_capacity) // private function + - when you reach capacity, resize to double the size + - when popping an item, if size is 1/4 of capacity, resize to half + - [ ] Time + - O(1) to add/remove at end (amortized for allocations for more space), index, or update + - O(n) to insert/remove elsewhere + - [ ] Space + - contiguous in memory, so proximity helps performance + - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) + +- ### Linked Lists + - [ ] Description: + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) + - not the whole video, just portions about Node struct and memory allocation. + - [ ] Linked List vs Arrays: + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) + - [ ] Gotcha: you need pointer to pointer knowledge: + (for when you pass a pointer to a function that may change the address where that pointer points) + This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. + - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) + - [ ] implement (I did with tail pointer & without): + - [ ] size() - returns number of data elements in list + - [ ] empty() - bool returns true if empty + - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) + - [ ] push_front(value) - adds an item to the front of the list + - [ ] pop_front() - remove front item and return its value + - [ ] push_back(value) - adds an item at the end + - [ ] pop_back() - removes end item and returns its value + - [ ] front() - get value of front item + - [ ] back() - get value of end item + - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index + - [ ] erase(index) - removes node at given index + - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list + - [ ] reverse() - reverses the list + - [ ] remove_value(value) - removes the first item in the list with this value + - [ ] Doubly-linked List + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) + - No need to implement + +- ### Stack + - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) + - [ ] Will not implement. Implementing with array is trivial. + +- ### Queue + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) + - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) + - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) + - [ ] Implement using linked-list, with tail pointer: + - enqueue(value) - adds value at position at tail + - dequeue() - returns value and removes least recently added element (front) + - empty() + - [ ] Implement using fixed-sized array: + - enqueue(value) - adds item at end of available storage + - dequeue() - returns value and removes least recently added element + - empty() + - full() + - [ ] Cost: + - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) + because you'd need the next to last element, causing a full traversal each dequeue + - enqueue: O(1) (amortized, linked list and array [probing]) + - dequeue: O(1) (linked list and array) + - empty: O(1) (linked list and array) + +- ### Hash table + - [ ] Videos: + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) + + - [ ] Online Courses: + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) + - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) + - [ ] distributed hash tables: + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) + + - [ ] implement with array using linear probing + - hash(k, m) - m is size of hash table + - add(key, value) - if key already exists, update value + - exists(key) + - get(key) + - remove(key) + +## More Knowledge + +- ### Binary search + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) + - [ ] Implement: + - binary search (on sorted array of integers) + - binary search using recursion + +- ### Bitwise operations + - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) + - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << + - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) + - [ ] Good intro: + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) + - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) + - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) + - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) + - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) + - [ ] 2s and 1s complement + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) + - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) + - [ ] count set bits + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) + - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) + - [ ] round to next power of 2: + - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) + - [ ] swap values: + - [Swap](http://bits.stephan-brumme.com/swap.html) + - [ ] absolute value: + - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + +## Trees + +- ### Trees - Notes & Background + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) + - basic tree construction + - traversal + - manipulation algorithms + - BFS (breadth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - level order (BFS, using queue) + time complexity: O(n) + space complexity: best: O(1), worst: O(n/2)=O(n) + - DFS (depth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - notes: + time complexity: O(n) + space complexity: + best: O(log n) - avg. height of tree + worst: O(n) + - inorder (DFS: left, self, right) + - postorder (DFS: left, right, self) + - preorder (DFS: self, left, right) + +- ### Binary search trees: BSTs + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - starts with symbol table and goes through BST applications + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) + - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) + - C/C++: + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] Implement: + - [ ] insert // insert value into tree + - [ ] get_node_count // get count of values stored + - [ ] print_values // prints the values in the tree, from min to max + - [ ] delete_tree + - [ ] is_in_tree // returns true if given value exists in the tree + - [ ] get_height // returns the height in nodes (single node's height is 1) + - [ ] get_min // returns the minimum value stored in the tree + - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_binary_search_tree + - [ ] delete_value + - [ ] get_successor // returns next-highest value in tree after given value, -1 if none + +- ### Heap / Priority Queue / Binary Heap + - visualized as a tree, but is usually linear in storage (array, linked list) + - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) + - [ ] Implement a max-heap: + - [ ] insert + - [ ] sift_up - needed for insert + - [ ] get_max - returns the max item, without removing it + - [ ] get_size() - return number of elements stored + - [ ] is_empty() - returns true if heap contains no elements + - [ ] extract_max - returns the max item, removing it + - [ ] sift_down - needed for extract_max + - [ ] remove(i) - removes item at index x + - [ ] heapify - create a heap from an array of elements, needed for heap_sort + - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap + - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + +## Sorting + +- [ ] Notes: + - Implement sorts & know best case/worst case, average complexity of each: + - no bubble sort - it's terrible - O(n^2), except when n <= 16 + - [ ] stability in sorting algorithms ("Is Quicksort stable?") + - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) + - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) + - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) + - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) + - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? + - I wouldn't recommend sorting a linked list, but merge sort is doable. + - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) + +- For heapsort, see Heap data structure above. Heap sort is great, but not stable. + +- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) + - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) + - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + +- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + +- [ ] UC Berkeley: + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + +- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) +- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) +- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) +- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) +- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) +- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) + +- [ ] Merge sort code: + - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) + - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) + - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) +- [ ] Quick sort code: + - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) + - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) + - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) + +- [ ] Implement: + - [ ] Mergesort: O(n log n) average and worst case + - [ ] Quicksort O(n log n) average case + - Selection sort and insertion sort are both O(n^2) average and worst case + - For heapsort, see Heap data structure above. + +- [ ] Not required, but I recommended them: + - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) + - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) + - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) + - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) + - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) + - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) + +If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +## Graphs + +Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. + +- Notes from Yegge: + - There are three basic ways to represent a graph in memory: + - objects and pointers + - matrix + - adjacency list + - Familiarize yourself with each representation and its pros & cons + - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code + - When asked a question, look for a graph-based solution first, then move on if none. + +- [ ] Skiena Lectures - great intro: + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + +- [ ] Graphs (review and more): + + - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) + - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) + - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) + +- Full Coursera Course: + - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) + +- Yegge: If you get a chance, try to study up on fancier algorithms: + - [ ] Dijkstra's algorithm - see above - 6.006 + - [ ] A* + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + +- I'll implement: + - [ ] DFS with adjacency list (recursive) + - [ ] DFS with adjacency list (iterative with stack) + - [ ] DFS with adjacency matrix (recursive) + - [ ] DFS with adjacency matrix (iterative with stack) + - [ ] BFS with adjacency list + - [ ] BFS with adjacency matrix + - [ ] single-source shortest path (Dijkstra) + - [ ] minimum spanning tree + - DFS-based algorithms (see Aduni videos above): + - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) + - [ ] topological sort + - [ ] count connected components in a graph + - [ ] list strongly connected components + - [ ] check for bipartite graph + +You'll get more graph practice in Skiena's book (see Books section below) and the interview books + +## Even More Knowledge + +- ### Recursion + - [ ] Stanford lectures on recursion & backtracking: + - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - when it is appropriate to use it + - how is tail recursion better than not? + - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) + - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + +- ### Dynamic Programming + - **NOTE:** DP is a valuable technique, but it is not mentioned on any of the prep material Google provides. But you could get a problem where DP provides an optimal solution. So I'm including it. + - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. + - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - [ ] Videos: + - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - [ ] List of individual DP problems (each is short): + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + - [ ] Yale Lecture notes: + - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) + - [ ] Coursera: + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + +- ### Object-Oriented Programming + - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): + - Can skip this if you have a great grasp of OO and OO design practices. + - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] SOLID OOP Principles: + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) + - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) + - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) + - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) + +- ### Design patterns + - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] Learn these patterns: + - [ ] strategy + - [ ] singleton + - [ ] adapter + - [ ] prototype + - [ ] decorator + - [ ] visitor + - [ ] factory, abstract factory + - [ ] facade + - [ ] observer + - [ ] proxy + - [ ] delegate + - [ ] command + - [ ] state + - [ ] memento + - [ ] iterator + - [ ] composite + - [ ] flyweight + - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) + - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. + - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) + +- ### Combinatorics (n choose k) & Probability + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] Khan Academy: + - Course layout: + - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) + - Just the videos - 41 (each are simple and each are short): + - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + +- ### NP, NP-Complete and Approximation Algorithms + - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, + and be able to recognize them when an interviewer asks you them in disguise. + - Know what NP-complete means. + - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - [ ] Simonson: + - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] Skiena: + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - Peter Norvig discusses near-optimal solutions to traveling salesman problem: + - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) + - Pages 1048 - 1140 in CLRS if you have it. + +- ### Caches + - [ ] LRU cache: + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] CPU cache: + - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- ### Processes and Threads + - [ ] Computer Science 162 - Operating Systems (25 videos): + - for processes and threads see videos 1-11 + - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) + - Covers: + - Processes, Threads, Concurrency issues + - difference between processes and threads + - processes + - threads + - locks + - mutexes + - semaphores + - monitors + - how they work + - deadlock + - livelock + - CPU activity, interrupts, context switching + - Modern concurrency constructs with multicore processors + - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) + - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) + - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. + - Context switching + - How context switching is initiated by the operating system and underlying hardware + - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] concurrency in Python (videos): + - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) + - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) + - [reference](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) + - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) + - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Papers + - These are Google papers and well-known papers. + - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) + - [implemented in Go](https://godoc.org/github.com/thomas11/csp) + - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) + - replaced by Colossus in 2012 + - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) + - mostly replaced by Cloud Dataflow? + - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) + - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) + - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) + - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) + - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) + - paper not available + - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: Google’s Globally-Distributed Database: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [video](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) + - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) + - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) + - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) + - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) + - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + +- ### Testing + - To cover: + - how unit testing works + - what are mock objects + - what is integration testing + - what is dependency injection + - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) + - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) + - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) + - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) + - [ ] Dependency injection: + - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) + - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) + +- ### Scheduling + - in an OS, how it works + - can be gleaned from Operating System videos + +- ### Implement system routines + - understand what lies beneath the programming APIs you use + - can you implement them? + +- ### String searching & manipulations + - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) + - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +--- + +## System Design, Scalability, Data Handling +- **You can expect system design questions if you have 4+ years of experience.** +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. + Expect to spend quite a bit of time on this. +- Considerations from Yegge: + - scalability + - Distill large data sets to single values + - Transform one data set to another + - Handling obscenely large amounts of data + - system design + - features sets + - interfaces + - class hierarchies + - designing a system under certain constraints + - simplicity and robustness + - tradeoffs + - performance analysis and optimization +- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) +- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) +- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) +- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. +- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) +- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) +- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) +- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) +- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) +- [ ] Paxos Consensus algorithm: + - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) +- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) +- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) +- [ ] Scalability: + - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] Short series: + - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) + - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) + - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) + - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) + - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) + - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) + - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) + - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) + - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) + - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) + - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) + - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) + - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) + - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) + - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) + - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) + - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) + - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) + - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) + - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) + - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) + - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) + - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) + - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) + - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) + - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) + - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) + - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) + - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) + - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) + - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) + - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) + - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) + - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) + - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) + - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) + - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) + - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) + - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) + - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) + - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] Twitter: + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) + - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) + - For even more, see "Mining Massive Datasets" video series in the Video Series section. +- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: + - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) + - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - flow: + 1. Understand the problem and scope: + - define the use cases, with interviewer's help + - suggest additional features + - remove items that interviewer deems out of scope + - assume high availability is required, add as a use case + 2. Think about constraints: + - ask how many requests per month + - ask how many requests per second (they may volunteer it or make you do the math) + - estimate reads vs. writes percentage + - keep 80/20 rule in mind when estimating + - how much data written per second + - total storage required over 5 years + - how much data read per second + 3. Abstract design: + - layers (service, data, caching) + - infrastructure: load balancing, messaging + - rough overview of any key algorithm that drives the service + - consider bottlenecks and determine solutions + - Exercises: + - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) + - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) + - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) + - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) + - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) + - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) + - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) + - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) + +--- + +## Final Review + + This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. + It's nice if you want a refresher often. + +- [ ] Series of 2-3 minutes short subject videos (23 videos) + - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): + - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) + - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) + - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) + - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) + - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) + - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) + - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) + - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) +- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) + - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) + - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) + - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) + - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) + - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) + - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) + - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) + - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) + - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) + - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) + +--- + +## Coding Question Practice + +Now that you know all the computer science topics above, it's time to practice answering coding problems. + +**Coding question practice is not about memorizing answers to programming problems.** + +Why you need to practice doing programming problems: +- problem recognition, and where the right data structures and algorithms fit in +- gathering requirements for the problem +- talking your way through the problem like you will in the interview +- coding on a whiteboard or paper, not a computer +- coming up with time and space complexity for your solutions +- testing your solutions + +There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming +interview books, too, but I found this outstanding: +[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) + +[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) + +No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a +large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". +I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. + +![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) + +Supplemental: + +- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) +- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) +- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) +- [Exercises for getting better at a given language](http://exercism.io/languages) + +**Read and Do Programming Problems (in this order):** + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C, C++ and Java +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + +See [Book List above](#book-list) + +## Coding exercises/challenges + +Once you've learned your brains out, put those brains to work. +Take coding challenges every day, as many as you can. + +- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) +- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) + +Challenge sites: +- [LeetCode](https://leetcode.com/) +- [TopCoder](https://www.topcoder.com/) +- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) +- [Codewars](http://www.codewars.com) +- [HackerRank](https://www.hackerrank.com/) +- [Codility](https://codility.com/programmers/) +- [InterviewCake](https://www.interviewcake.com/) +- [Geeks for Geeks](http://www.geeksforgeeks.org/) +- [InterviewBit](https://www.interviewbit.com/invite/icjf) + +Maybe: +- [Mock interviewers from big companies](http://www.gainlo.co/) + +## Once you're closer to the interview + +- [ ] Cracking The Coding Interview Set 2 (videos): + - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) + - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) + - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) + +## Your Resume + +- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) +- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed + + +## Be thinking of for when the interview comes + +Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. +Have a story, not just data, about something you accomplished. + +- Why do you want this job? +- What's a tough problem you've solved? +- Biggest challenges faced? +- Best/worst designs seen? +- Ideas for improving an existing Google product. +- How do you work best, as an individual and as part of a team? +- Which of your skills or experiences would be assets in the role and why? +- What did you most enjoy at [job x / project y]? +- What was the biggest challenge you faced at [job x / project y]? +- What was the hardest bug you faced at [job x / project y]? +- What did you learn at [job x / project y]? +- What would you have done better at [job x / project y]? + +## Have questions for the interviewer + + Some of mine (I already may know answer to but want their opinion or team perspective): + +- How large is your team? +- What does your dev cycle look like? Do you do waterfall/sprints/agile? +- Are rushes to deadlines common? Or is there flexibility? +- How are decisions made in your team? +- How many meetings do you have per week? +- Do you feel your work environment helps you concentrate? +- What are you working on? +- What do you like about it? +- What is the work life like? + +## Once You've Got The Job + +Congratulations! + +- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) + +Keep learning. + +You're never really done. + +--- + + ***************************************************************************************************** + ***************************************************************************************************** + + Everything below this point is optional. These are my recommendations, not Google's. + By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for + any software engineering job. You'll be a much more well-rounded software engineer. + + ***************************************************************************************************** + ***************************************************************************************************** + +--- + +## Additional Books + +- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) + - an oldie but a goodie +- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) + - a modern option +- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) +- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) + - a gentle introduction to design patterns +- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) + - aka the "Gang Of Four" book, or GOF + - the canonical design patterns book +- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) + - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) +- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) + +## Additional Learning + +- ### Compilers + - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) + - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) + - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) + +- ### Floating Point Numbers + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + +- ### Unicode + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) + +- ### Endianness + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - Very technical talk for kernel devs. Don't worry if most is over your head. + - The first half is enough. + +- ### Emacs and vi(m) + - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor + - vi(m): + - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) + - [VIM Adventures](http://vim-adventures.com/) + - set of 4 videos: + - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) + - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) + - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) + - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) + - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) + - emacs: + - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) + - set of 3 (videos): + - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) + - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) + - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) + - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) + - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) + +- ### Unix command line tools + - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. + - [ ] bash + - [ ] cat + - [ ] grep + - [ ] sed + - [ ] awk + - [ ] curl or wget + - [ ] sort + - [ ] tr + - [ ] uniq + - [ ] [strace](https://en.wikipedia.org/wiki/Strace) + - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) + +- ### Information theory (videos) + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) + - [ ] more about Markov processes: + - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) + - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) + - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) + - See more in MIT 6.050J Information and Entropy series below. + +- ### Parity & Hamming Code (videos) + - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) + - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) + - [ ] Hamming Code: + - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) + - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) + - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) + +- ### Entropy + - also see videos below + - make sure to watch information theory videos first + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) + +- ### Cryptography + - also see videos below + - make sure to watch information theory videos first + - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) + - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) + - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- ### Compression + - make sure to watch information theory videos first + - [ ] Computerphile (videos): + - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) + - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) + - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) + - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) + - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) + - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) + - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) + - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) + +- ### Networking + - **if you have networking experience or want to be a systems engineer, expect questions** + - otherwise, this is just good to know + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) + - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) + - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) + - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + +- ### Computer Security + - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) + - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) + - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) + - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- ### Garbage collection + - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) + - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + +- ### Parallel Programming + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + +- ### Messaging, Serialization, and Queueing Systems + - [ ] [Thrift](https://thrift.apache.org/) + - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) + - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) + - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) + - [ ] [gRPC](http://www.grpc.io/) + - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) + - [ ] [Redis](http://redis.io/) + - [Tutorial](http://try.redis.io/) + - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) + - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) + - [ ] [RabbitMQ](https://www.rabbitmq.com/) + - [Get Started](https://www.rabbitmq.com/getstarted.html) + - [ ] [Celery](http://www.celeryproject.org/) + - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) + - [ ] [ZeroMQ](http://zeromq.org/) + - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) + - [ ] [ActiveMQ](http://activemq.apache.org/) + - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) + - [ ] [MessagePack](http://msgpack.org/index.html) + - [ ] [Avro](https://avro.apache.org/) + +- ### Fast Fourier Transform + - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) + - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) + - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) + - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) + - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) + +- ### Bloom Filter + - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) + - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) + - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) + - [Tutorial](http://billmill.org/bloomfilter-tutorial/) + - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) + +- ### HyperLogLog + - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) + +- ### Locality-Sensitive Hashing + - used to determine the similarity of documents + - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. + - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) + +- ### van Emde Boas Trees + - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) + - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) + +- ### Augmented Data Structures + - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) + +- ### Tries + - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits + to track the path. + - I read through code, but will not implement. + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + +- ### Balanced search trees + - Know least one type of balanced binary tree (and know how it's implemented): + - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. + A particularly interesting self-organizing data structure is the splay tree, which uses rotations + to move any accessed key to the root." - Skiena + - Of these, I chose to implement a splay tree. From what I've read, you won't implement a + balanced search tree in your interview. But I wanted exposure to coding one up + and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. + - splay tree: insert, search, delete functions + If you end up implementing red/black tree try just these: + - search and insertion functions, skipping delete + - I want to learn more about B-Tree since it's used so widely with very large data sets. + - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) + + - [ ] **AVL trees** + - In practice: + From what I can tell, these aren't used much in practice, but I could see where they would be: + The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly + balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it + attractive for data structures that may be built once and loaded without reconstruction, such as language + dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). + - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) + - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) + - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) + - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) + + - [ ] **Splay trees** + - In practice: + Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, + data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, + networking and file system code) etc. + - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] MIT Lecture: Splay Trees: + - Gets very mathy, but watch the last 10 minutes for sure. + - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + + - [ ] **Red/black trees** + - these are a translation of a 2-3 tree (see below) + - In practice: + Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. + Not only does this make them valuable in time-sensitive applications such as real-time applications, + but it makes them valuable building blocks in other data structures which provide worst-case guarantees; + for example, many data structures used in computational geometry can be based on red–black trees, and + the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, + the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor + hashcodes, a Red-Black tree is used. + - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) + - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) + - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) + - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) + + - [ ] **2-3 search trees** + - In practice: + 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). + - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. + - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) + - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + + - [ ] **2-3-4 Trees (aka 2-4 trees)** + - In practice: + For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion + operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an + important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce + 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) + + - [ ] **N-ary (K-ary, M-ary) trees** + - note: the N or K is the branching factor (max branches) + - binary trees are a 2-ary tree, with branching factor = 2 + - 2-3 trees are 3-ary + - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) + + - [ ] **B-Trees** + - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) + - In Practice: + B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to + its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary + block in a particular file. The basic problem is turning the file block i address into a disk block + (or perhaps to a cylinder-head-sector) address. + - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) + - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) + - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + - covers cache-oblivious B-Trees, very interesting data structures + - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) + + +- ### k-D Trees + - great for finding number of points in a rectangle or higher dimension object + - a good fit for k-nearest neighbors + - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) + - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + +- ### Skip lists + - "These are somewhat of a cult data structure" - Skiena + - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) + +- ### Network Flows + - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) + +- ### Disjoint Sets & Union Find + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + +- ### Math for Fast Processing + - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) + +- ### Treap + - Combination of a binary search tree and a heap + - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) + - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) + - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) + +- ### Linear Programming (videos) + - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) + - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) + - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) + - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) + +- ### Geometry, Convex hull (videos) + - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) + - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) + +- ### Discrete math + - see videos below + +- ### Machine Learning + - [ ] Why ML? + - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) + - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) + - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) + - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) + - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) + - Courses: + - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) + - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) + - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) + - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) + - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) + - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) + - Resources: + - Books: + - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) + - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) + - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) + - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) + - Data School: http://www.dataschool.io/ + +- ### Go + - [ ] Videos: + - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) + - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) + - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) + - [ ] Books: + - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) + - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) + - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) + +-- + +## Additional Detail on Some Subjects + + I added these to reinforce some ideas already presented above, but didn't want to include them + above because it's just too much. It's easy to overdo it on a subject. + You want to get hired in this century, right? + +- [ ] **Union-Find** + - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) + - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) + - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) + - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) + - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) + - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) + +- [ ] **More Dynamic Programming** (videos) + - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) + - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) + - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) + - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) + - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) + +- [ ] **Advanced Graph Processing** (videos) + - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) + - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) + +- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): + - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) + - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) + +- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) + +- [ ] **String Matching** + - [ ] Rabin-Karp (videos): + - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) + - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) + - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) + - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) + - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) + - [ ] Knuth-Morris-Pratt (KMP): + - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) + - [ ] Boyer–Moore string search algorithm + - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) + - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) + - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be + - nice explanation of tries + - can be skipped + +- [ ] **Sorting** + + - [ ] Stanford lectures on sorting: + - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) + - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): + - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) + - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) + - [ ] Steven Skiena lectures on sorting: + - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + +## Video Series + +Sit back and enjoy. "Netflix and skill" :P + +- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + +- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) + +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) + +- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) + +- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) + +- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) + +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) + +- [ ] CSE373 - Analysis of Algorithms (25 videos) + - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) + +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) + +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) + +- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) + +- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) + +- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) + +- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) + +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) + +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) + +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) + +- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) + +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) + +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) + +- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) + +- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) + - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) + +- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) + +- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) + +## Computer Science Courses + +- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) +- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) + From 5dd2e5c9d5997b9a3c8b65da696bdc121b9360f8 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 3 Jan 2017 19:16:46 -0200 Subject: [PATCH 017/236] updated translation --- translations/README-ptbr.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 299f56c817..56f015d0e9 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -8,10 +8,8 @@ Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, s ![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. -There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from -Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected -sometimes word-for-word in Google's coaching notes. +Essa longa lista foi extraída e expandida a partir das **anotações de treino da Google**, então essas são as coisas que você precisa saber. +Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressadas palavra-por-palavra nas anoções de treino da Google. I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements from information received from my contact at Google. This is meant for **new software engineers** or those switching from From 5051706d3b361c358b19b3fc4daaef5cfa9f1d1e Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 3 Jan 2017 19:18:30 -0200 Subject: [PATCH 018/236] fixed typo --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 56f015d0e9..8ab94ee4d0 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -9,7 +9,7 @@ Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, s ![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) Essa longa lista foi extraída e expandida a partir das **anotações de treino da Google**, então essas são as coisas que você precisa saber. -Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressadas palavra-por-palavra nas anoções de treino da Google. +Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treino da Google. I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements from information received from my contact at Google. This is meant for **new software engineers** or those switching from From 7ebe6b64aeedc4156992992a645069913a4d5b1e Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 3 Jan 2017 19:32:16 -0200 Subject: [PATCH 019/236] updated translation --- translations/README-ptbr.md | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 8ab94ee4d0..6558297f14 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -11,16 +11,12 @@ Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, s Essa longa lista foi extraída e expandida a partir das **anotações de treino da Google**, então essas são as coisas que você precisa saber. Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treino da Google. -I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements -from information received from my contact at Google. This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. -[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). +Eu resumi o que você precisa saber das recomendações do Yegge. Eu alterei os requerimentos do Yegge com base em informações que recebi do meu contato na Google. Isso é direcionado à **engenheiros de software novos** ou àqueles que estão trocando de desenvolvimento de software/web para engenharia de software (onde conhecimento de ciência de computação é necessário). Se você tem vários anos de experiência e está alegando muitos anos de experiência com engenharia de software, pode esperar por uma entrevista mais difícil. +[Leia mais](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/) -If you have many years of software/web development experience, note that Google views software engineering as -different from software/web development and they require computer science knowledge. +Se você tem vários anos de experiência com desenvolvimento de software/web, observe que a Google considera engenharia de software algo distinto de desenvolvimento de software/web e eles pedem conhecimento de ciência da computação. -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). +Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, estude mais da lista opcional (rede, segurança). --- From 03a2ec0c53898d48dd1da7d00ea2d0268df639f0 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Wed, 4 Jan 2017 01:13:24 -0200 Subject: [PATCH 020/236] updated translation --- translations/README-ptbr.md | 836 ++++++++++++++++++------------------ 1 file changed, 414 insertions(+), 422 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 6558297f14..824b98180b 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -23,17 +23,17 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est ## Table of Contents - [O que é isso?](#o-que-é-isso) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) +- [Por que usar?](#por-que-usar) +- [Como usar?](#como-usar) +- [Entre no Clima de um Googler](#entre-no-clima-de-um-googler) +- [Eu consegui o trabalho?](#eu-consegui-o-trabalho) +- [Me acompanhe](#me-acompanhe) +- [Não ache que você não é inteligente o suficiente](#não-ache-que-você-não-é-inteligente-o-suficiente) +- [Sobre a Google](#sobre-a-google) +- [Sobre os recursos em vídeo](#sobre-os-recursos-em-vídeo) +- [Processo de Entrevista e Preparação Geral para a Entrevista](#processo-de-entrevista-e-preparação-geral-para-a-entrevista) +- [Escolha Uma Linguagem para a Entrevista](#escolha-uma-linguagem-para-a-entrevista) +- [Lista de Livros](#lista-de-livros) - [Before you Get Started](#before-you-get-started) - [What you Won't See Covered](#what-you-wont-see-covered) - [Prerequisite Knowledge](#prerequisite-knowledge) @@ -90,7 +90,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Have questions for the interviewer](#have-questions-for-the-interviewer) - [Once You've Got The Job](#once-youve-got-the-job) ----------------- Everything below this point is optional ---------------- +---------------- Tudo abaixo é opcional ---------------- - [Additional Books](#additional-books) - [Additional Learning](#additional-learning) @@ -138,39 +138,31 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Machine Learning](#machine-learning) - [Go](#go) - [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [Video Series](#video-series) +- [vídeo Series](#vídeo-series) - [Computer Science Courses](#computer-science-courses) --- -## Why use it? +## Por que usar? -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. +Estou seguindo esse plano para me preparar para a minha entrevista com a Google. Eu estive construindo a web, construindo serviços, e lançando startups desde 1997. Eu sou graduado em economia, não em ciência da computação. Eu tenho sido muito bem sucedido em minha carreira, mas eu quero trabalhar na Google. Quero progredir para sistemas maiores e realmente entender sistemas de computação, eficiência algorítmica, desempenho de estrutura de dados, linguagens de baixo nível, e como tudo funciona. E se você não sabe nada disso, a Google não vai te contratar. -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Quando eu começei esse projeto, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to +traverse a graph. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. +Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por baixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. +Mas depois de passar por esse plano de estudo sou confiante de que serei contratado. É um longo plano. Vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. -## How to use it +## Como usar -Everything below is an outline, and you should tackle the items in order from top to bottom. +Tudo abaixo é um esboço, e você deve abordar os items em ordem de cima para baixo. -I'm using Github's special markdown flavor, including tasks lists to check progress. +Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de tarefas para verificar o progresso. -**Create a new branch so you can check items like this, just put an x in the brackets: [x]** +**Crie um novo branch para você verificar items assim, apenas coloque um x entre os colchetes: [x]** - Fork a branch and follow the commands below + Bifurque (fork) um branch e siga os comandos abaixo `git checkout -b progress` @@ -178,7 +170,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git fetch --all` - Mark all boxes with X after you completed your changes + Marque todas as caixas com X depois que você completar suas alterações `git add . ` @@ -188,25 +180,25 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git push --force ` -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) +[Mais sobre a sintaxe de markdown especial do Github](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Get in a Googley Mood +## Entre no Clima de um Googler -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. +Imprima um "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" cartaz (ou dois) e mantenha seus olhos no prêmio. -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) +[![cartaz de um futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) -## Did I Get the Job? +## Eu consegui o trabalho? -I'm in the queue right now. Hope to interview soon. +Estou na fila no momento. Espero ser entrevistado logo. - Thanks for the referral, JP. + Obrigado pela referência, JP. -## Follow Along with Me +## Me acompanhe -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) +Minha estória: [Por que eu estudei em tempo integral por 8 meses para uma entrevista com a Google](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) -I'm on the journey, too. Follow along: +Estou na jornada, também. Me acompanhe: - **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) - Twitter: [@googleyasheck](https://twitter.com/googleyasheck) @@ -214,47 +206,47 @@ I'm on the journey, too. Follow along: - Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) - LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) +![John Washam - Universidade de Entrevista da Google](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. -- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) -- [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) +## Não ache que você não é inteligente o suficiente +- Os engenheiros da Google são inteligentes, mas muitos são inseguros quanto à própria inteligência, mesmo que eles trabalhem na Google. +- [O mito do Programador Gênio](https://www.youtube.com/watch?v=0SARbwvhupQ) +- [É perigoso ir sozinho: Batalhando os monstros invisíveis na Tecnologia](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## About Google +## Sobre a Google -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) +- [ ] Para estudantes - [Carreiras da Google: Guia de Desenvolvimento Técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) +- [ ] Como a pesquisa funciona: + - [ ] [A evolução da pesquisa (vídeo)](https://www.youtube.com/watch?v=mTBShTwCnD4) + - [ ] [Como a Pesquisa Funciona - a estória](https://www.google.com/insidesearch/howsearchworks/thestory/) + - [ ] [Como a Pesquisa Funciona](https://www.google.com/insidesearch/howsearchworks/) + - [ ] [Como a Pesquisa Funciona - Matt Cutts (vídeo)](https://www.youtube.com/watch?v=BNHR6IQJGZs) + - [ ] [Como a Google faz melhorias para o algoritmo de pesquisa deles (vídeo)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) - [ ] Series: - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) + - [ ] [O Estudo Secreto da Google Para Descobrir Nossas Necesidades](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) + - [ ] [A Pesquisa Google será seu próximo cérebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) + - [ ] [A Profunda Mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) +- [ ] [Livro: Como a Google Funciona](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) +- [ ] [Feito pelo anúncio da Google - Oct 2016 (vídeo)](https://www.youtube.com/watch?v=q4y0KOeXViI) -## About Video Resources +## Sobre os recursos em vídeo -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. +Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, EdX, ou Lynda.com. Esses são chamados de MOOCs (Curso Online Aberto e Massivo). +Ás vezes as aulas não estão em sessão, nesse caso você terá que esperar alguns meses, portanto não terá acesso até lá. Os cursos da Lynda.com não são gratuitos. - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. + Eu agradeceria a ajuda de vocês em adicionar fontes públicas gratuitas e sempre disponíveis, como vídeos do YouTube para acompanhar os vídeos de curso online. + Eu gosto de usar palestras de universidades; -## Interview Process & General Interview Prep +## Processo de Entrevista e Preparação Geral para a Entrevista -- [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) +- [ ] Vídeos: + - [ ] [Como Trabalhar na Google: Prepare for an Engineering Interview (vídeo)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) + - [ ] [Como Trabalhar na Google: Example Coding/Engineering Interview (vídeo)](https://www.youtube.com/watch?v=XKu_SEDAykw) + - [ ] [Como Trabalhar na Google - Candidate Coaching Session (vídeo)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) + - [ ] [Google Recruiters Share Technical Interview Tips (vídeo)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) + - [ ] [Como Trabalhar na Google: Tech Resume Preparation (vídeo)](https://www.youtube.com/watch?v=8npJLXkcmu8) - [ ] Articles: - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) @@ -274,13 +266,13 @@ Sometimes the classes are not in session so you have to wait a couple of months, - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) + - [ ] [Gayle L McDowell - Cracking The Coding Interview (vídeo)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (vídeo)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (vídeo)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) -## Pick One Language for the Interview +## Escolha Uma Linguagem para a Entrevista I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) @@ -356,7 +348,7 @@ If you have more time (I want this book): **You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. +**You can skip all the vídeo lectures in this project**, unless you'd like a review. [Additional language-specific resources here.](programming-language-resources.md) @@ -372,7 +364,7 @@ If you have a better recommendation for C++, please let me know. Looking for a c ### Java - [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): + - vídeos with book content (and Sedgewick!): - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) @@ -448,7 +440,7 @@ Here are some mistakes I made so you'll have a better experience. ### 1. You Won't Remember it All -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going +I watched hours of vídeos and took copious notes, and months later there was much I didn't remember. I spent 3 days going through my notes and making flashcards so I could review. Read please so you won't make my mistakes: @@ -502,7 +494,7 @@ technologies but were not mentioned in those notes: Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: +Each day I take one subject from the list below, watch vídeos about that subject, and write an implementation in: - C - using structs and functions that take a struct * and something else as args. - C++ - without using built-in types - C++ - using built-in types, like STL's std::list for a linked list @@ -531,31 +523,31 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Prerequisite Knowledge - [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. + - C is everywhere. You'll see examples in books, lectures, vídeos, *everywhere* while you're studying. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - This is a short book, but it will give you a great handle on the C language and if you practice it a little you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - [answers to questions](https://github.com/lekkas/c-algorithms) - [ ] **How computers process a program:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) + - [ ] [How does CPU execute program (vídeo)](https://www.youtube.com/watch?v=42KTvGYQYnA) + - [ ] [Machine Code Instructions (vídeo)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) ## Algorithmic complexity / Big-O / Asymptotic analysis - nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] [Harvard CS50 - Asymptotic Notation (vídeo)](https://www.youtube.com/watch?v=iOq5kSKqeR4) +- [ ] [Big O Notations (general quick tutorial) (vídeo)](https://www.youtube.com/watch?v=V6mKVRU1evU) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (vídeo)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] Skiena: - - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) + - [vídeo](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [slides](http://www3.cs.stonybrook.edu/~algorith/vídeo-lectures/2007/lecture2.pdf) - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) +- [ ] [Orders of Growth (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/59) +- [ ] [Asymptotics (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/61) +- [ ] [UC Berkeley Big O (vídeo)](https://youtu.be/VIS4YDpuP98) +- [ ] [UC Berkeley Big Omega (vídeo)](https://youtu.be/ca3e7UVmeUc) +- [ ] [Amortized Analysis (vídeo)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] [Illustrating "Big O" (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/63) - [ ] TopCoder (includes recurrence relations and master theorem): - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) @@ -563,21 +555,21 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. + watch the discrete mathematics vídeos to get the background knowledge. ## Data Structures - ### Arrays - Implement an automatically resizing vector. - [ ] Description: - - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) + - [Arrays (vídeo)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (vídeo)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - [Basic Arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) + - [Multi-dim (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) + - [Dynamic Arrays (vídeo)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) + - [Jagged Arrays (vídeo)](https://www.youtube.com/watch?v=1jtrQqYpt7g) + - [Jagged Arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) + - [Resizing arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - [ ] Implement a vector (mutable array with automatic resizing): - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - [ ] new raw data array with allocated memory @@ -606,14 +598,14 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Linked Lists - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. + - [ ] [Singly Linked Lists (vídeo)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) + - [ ] [CS 61B - Linked Lists (vídeo)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [C Code (vídeo)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) + - not the whole vídeo, just portions about Node struct and memory allocation. - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) + - [Core Linked Lists Vs Arrays (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) + - [In The Real World Linked Lists Vs Arrays (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) + - [ ] [why you should avoid linked lists (vídeo)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - [ ] Gotcha: you need pointer to pointer knowledge: (for when you pass a pointer to a function that may change the address where that pointer points) This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. @@ -634,19 +626,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] reverse() - reverses the list - [ ] remove_value(value) - removes the first item in the list with this value - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) + - [Description (vídeo)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No need to implement - ### Stack - - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) + - [ ] [Stacks (vídeo)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) + - [ ] [Using Stacks Last-In First-Out (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - [ ] Will not implement. Implementing with array is trivial. - ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) + - [ ] [Using Queues First-In First-Out(vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) + - [ ] [Queue (vídeo)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) + - [ ] [Priority Queues (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - [ ] Implement using linked-list, with tail pointer: - enqueue(value) - adds value at position at tail - dequeue() - returns value and removes least recently added element (front) @@ -664,25 +656,25 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - empty: O(1) (linked list and array) - ### Hash table - - [ ] Videos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) + - [ ] vídeos: + - [ ] [Hashing with Chaining (vídeo)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) + - [ ] [Table Doubling, Karp-Rabin (vídeo)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Open Addressing, Cryptographic Hashing (vídeo)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [PyCon 2010: The Mighty Dictionary (vídeo)](https://www.youtube.com/watch?v=C4Kc8xzcA68) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (vídeo)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) + - [ ] [(Advanced) Perfect hashing (vídeo)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) + - [ ] [Understanding Hash Functions (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) + - [ ] [Using Hash Tables (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) + - [ ] [Supporting Hashing (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) + - [ ] [Language Support Hash Tables (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) + - [ ] [Core Hash Tables (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) + - [ ] [Data Structures (vídeo)](https://www.coursera.org/learn/data-structures/home/week/3) + - [ ] [Phone Book Problem (vídeo)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) + - [Instant Uploads And Storage Optimization In Dropbox (vídeo)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) + - [Distributed Hash Tables (vídeo)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - [ ] implement with array using linear probing - hash(k, m) - m is size of hash table @@ -694,8 +686,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## More Knowledge - ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [Binary Search (vídeo)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Binary Search (vídeo)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - [ ] Implement: - binary search (on sorted array of integers) @@ -706,19 +698,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + [Bit Manipulation (vídeo)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (vídeo)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (vídeo)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [4 ways to count bits in a byte (vídeo)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - [ ] round to next power of 2: @@ -731,18 +723,18 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Trees - ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) + - [ ] [Series: Core Trees (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) + - [ ] [Series: Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - basic tree construction - traversal - manipulation algorithms - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - [MIT (vídeo)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - level order (BFS, using queue) time complexity: O(n) space complexity: best: O(1), worst: O(n/2)=O(n) - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - [MIT (vídeo)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - notes: time complexity: O(n) space complexity: @@ -753,22 +745,22 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - preorder (DFS: self, left, right) - ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - [ ] [Binary Search Tree Review (vídeo)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Series (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) + - [ ] [Introduction (vídeo)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) + - [ ] [MIT (vídeo)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary search tree - Implementation in C/C++ (vídeo)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) + - [ ] [BST implementation - memory allocation in stack and heap (vídeo)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) + - [ ] [Find min and max element in a binary search tree (vídeo)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Find height of a binary tree (vídeo)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (vídeo)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) + - [ ] [Binary tree: Level Order Traversal (vídeo)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (vídeo)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Check if a binary tree is binary search tree or not (vídeo)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Delete a node from Binary Search Tree (vídeo)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) + - [ ] [Inorder Successor in a binary search tree (vídeo)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] Implement: - [ ] insert // insert value into tree - [ ] get_node_count // get count of values stored @@ -785,18 +777,18 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Heap / Priority Queue / Binary Heap - visualized as a tree, but is usually linear in storage (array, linked list) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [Introduction (vídeo)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) + - [ ] [Naive Implementations (vídeo)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) + - [ ] [Binary Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) + - [ ] [Tree Height Remark (vídeo)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) + - [ ] [Basic Operations (vídeo)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) + - [ ] [Complete Binary Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) + - [ ] [Pseudocode (vídeo)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) + - [ ] [Heap Sort - jumps to start (vídeo)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) + - [ ] [Heap Sort (vídeo)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) + - [ ] [Building a heap (vídeo)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) + - [ ] [MIT: Heaps and Heap Sort (vídeo)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [CS 61B Lecture 24: Priority Queues (vídeo)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - [ ] Implement a max-heap: - [ ] insert @@ -827,32 +819,32 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - For heapsort, see Heap data structure above. Heap sort is great, but not stable. -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) +- [ ] [Sedgewick - Mergesort (5 vídeos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) +- [ ] [Sedgewick - Quicksort (4 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) + - [ ] [CS 61B Lecture 29: Sorting I (vídeo)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) + - [ ] [CS 61B Lecture 30: Sorting II (vídeo)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) + - [ ] [CS 61B Lecture 32: Sorting III (vídeo)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 33: Sorting V (vídeo)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + +- [ ] [Bubble Sort (vídeo)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) +- [ ] [Analyzing Bubble Sort (vídeo)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) +- [ ] [Insertion Sort, Merge Sort (vídeo)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) +- [ ] [Insertion Sort (vídeo)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) +- [ ] [Merge Sort (vídeo)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) +- [ ] [Quicksort (vídeo)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (vídeo)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - [ ] Merge sort code: - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) @@ -870,7 +862,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - For heapsort, see Heap data structure above. - [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [Sedgewick - Radix Sorts (6 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) @@ -878,10 +870,10 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) + - [ ] [Radix Sort (vídeo)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (vídeo)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (vídeo)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Sorting in Linear Time (vídeo)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) @@ -899,37 +891,37 @@ Graphs can be used to represent many problems in computer science, so this secti - When asked a question, look for a graph-based solution first, then move on if none. - [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (vídeo)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (vídeo)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (vídeo)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (vídeo)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (vídeo)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (vídeo)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] Graphs (review and more): - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) + - [ ] [6.006 Single-Source Shortest Paths Problem (vídeo)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Dijkstra (vídeo)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (vídeo)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (vídeo)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (vídeo)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (vídeo)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (vídeo)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (vídeo)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) + - [ ] [CS 61B 2014 (starting at 58:09) (vídeo)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) + - [ ] [CS 61B 2014: Weighted graphs (vídeo)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (vídeo)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (vídeo)](https://www.youtube.com/watch?v=RpgcYiky7uw) - Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) + - [ ] [Algorithms on Graphs (vídeo)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - Yegge: If you get a chance, try to study up on fancier algorithms: - [ ] Dijkstra's algorithm - see above - 6.006 - [ ] A* - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + - [ ] [A* Pathfinding Tutorial (vídeo)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (vídeo)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - I'll implement: - [ ] DFS with adjacency list (recursive) @@ -940,7 +932,7 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] BFS with adjacency matrix - [ ] single-source shortest path (Dijkstra) - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): + - DFS-based algorithms (see Aduni vídeos above): - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - [ ] topological sort - [ ] count connected components in a graph @@ -953,50 +945,50 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - ### Recursion - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - [ ] [Lecture 8 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Lecture 9 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Lecture 10 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Lecture 11 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - when it is appropriate to use it - how is tail recursion better than not? - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + - [ ] [Tail Recursion (vídeo)](https://www.youtube.com/watch?v=L1jjXGfxozc) - ### Dynamic Programming - **NOTE:** DP is a valuable technique, but it is not mentioned on any of the prep material Google provides. But you could get a problem where DP provides an optimal solution. So I'm including it. - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - [ ] vídeos: + - the Skiena vídeos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (vídeo)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (vídeo)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (vídeo)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (vídeo)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (vídeo)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (vídeo)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (vídeo)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + [Dynamic Programming (vídeo)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - [ ] Yale Lecture notes: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + - [ ] [The RNA secondary structure problem (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): + - [ ] [Optional: UML 2.0 Series (vídeo)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 vídeos): - Can skip this if you have a great grasp of OO and OO design practices. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (vídeo)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [SOLID Design Patterns in C# (vídeo)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) + - [ ] [SOLID Principles (vídeo)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) @@ -1004,14 +996,14 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [Interface Segregation Principle in 5 minutes (vídeo)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] [Quick UML review (vídeo)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Learn these patterns: - [ ] strategy - [ ] singleton @@ -1030,58 +1022,58 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] iterator - [ ] composite - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Chapter 6 (Part 1) - Patterns (vídeo)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (vídeo)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (vídeo)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series of vídeos (27 vídeos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (vídeo)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Make School: Probability (vídeo)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [Make School: More Probability and Markov Chains (vídeo)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - Course layout: - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + - Just the vídeos - 41 (each are simple and each are short): + - [ ] [Probability Explained (vídeo)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Complete and Approximation Algorithms - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, and be able to recognize them when an interviewer asks you them in disguise. - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - [ ] [Computational Complexity (vídeo)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] [Greedy Algs. II & Intro to NP Completeness (vídeo)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP Completeness II & Reductions (vídeo)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness III (vídeo)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness IV (vídeo)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (vídeo)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (vídeo)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (vídeo)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (vídeo)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complexity: Approximation Algorithms (vídeo)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complexity: Fixed-Parameter Algorithms (vídeo)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - Peter Norvig discusses near-optimal solutions to traveling salesman problem: - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Pages 1048 - 1140 in CLRS if you have it. - ### Caches - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (vídeo)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementing LRU (vídeo)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 LRU Cache (C++) (vídeo)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + - [ ] [MIT 6.004 L15: The Memory Hierarchy (vídeo)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Cache Issues (vídeo)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [ ] Computer Science 162 - Operating Systems (25 vídeos): + - for processes and threads see vídeos 1-11 + - [Operating Systems and System Programming (vídeo)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - Covers: - Processes, Threads, Concurrency issues @@ -1102,8 +1094,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - Context switching - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): + - [ ] [threads in C++ (series - 10 vídeos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] concurrency in Python (vídeos): - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) @@ -1132,10 +1124,10 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - paper not available - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [vídeo](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) + - [vídeo](https://www.usenix.org/node/170855) - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) @@ -1149,36 +1141,36 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - what are mock objects - what is integration testing - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) + - [ ] [Agile Software Testing with James Bach (vídeo)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Open Lecture by James Bach on Software Testing (vídeo)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (vídeo)](https://vimeo.com/83960706) - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Is TDD dead? (vídeo)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [vídeo series (152 vídeos) - not all are needed (vídeo)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [vídeo](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - ### Scheduling - in an OS, how it works - - can be gleaned from Operating System videos + - can be gleaned from Operating System vídeos - ### Implement system routines - understand what lies beneath the programming APIs you use - can you implement them? - ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [Sedgewick - Suffix Arrays (vídeo)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Substring Search (vídeos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + - [ ] [Search pattern in text (vídeo)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) @@ -1206,21 +1198,21 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (vídeo)](https://www.youtube.com/watch?v=UrYLYV7WSHM) - [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. - [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) - [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) +- [ ] [Transactions Across Datacenters (vídeo)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) - [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [short vídeo](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [extended vídeo with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) - [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] [Great overview (vídeo)](https://www.youtube.com/watch?v=-W9F__D3oY4) - [ ] Short series: - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) @@ -1230,20 +1222,20 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (vídeo)](https://www.youtube.com/watch?v=modXC5IWTJI) - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (vídeo)](https://www.youtube.com/watch?v=9nWyWwY2Onc) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (vídeo)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (vídeo)](https://www.youtube.com/watch?v=oodS71YtkGU) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(vídeo)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [vídeo](https://www.youtube.com/watch?v=G-lGCC4KKok) - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (vídeo)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) @@ -1256,7 +1248,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [Live vídeo Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-vídeo-streaming-at-facebook-scale.html) - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) @@ -1265,7 +1257,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Justin.Tv's Live vídeo Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-vídeo-broadcasting-architecture.html) - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) @@ -1273,9 +1265,9 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (vídeo)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. + - For even more, see "Mining Massive Datasets" vídeo series in the vídeo Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) @@ -1312,14 +1304,14 @@ You'll get more graph practice in Skiena's book (see Books section below) and th ## Final Review - This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. + This section will have shorter vídeos that you can watch pretty quickly to review most of the important concepts. It's nice if you want a refresher often. -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) +- [ ] Series of 2-3 minutes short subject vídeos (23 vídeos) + - [vídeos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Series of 2-5 minutes short subject vídeos - Michael Sambol (18 vídeos): + - [vídeos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick vídeos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) @@ -1331,7 +1323,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) +- [ ] [Sedgewick vídeos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) @@ -1414,7 +1406,7 @@ Maybe: ## Once you're closer to the interview -- [ ] Cracking The Coding Interview Set 2 (videos): +- [ ] Cracking The Coding Interview Set 2 (vídeos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) @@ -1500,14 +1492,14 @@ You're never really done. ## Additional Learning - ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) + - [ ] [How a Compiler Works in ~1 minute (vídeo)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) + - [ ] [Harvard CS50 - Compilers (vídeo)](https://www.youtube.com/watch?v=CSZLNYF4Klo) + - [ ] [C++ (vídeo)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (vídeo)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (vídeo - there is an error in calculations - see vídeo description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (vídeo)](https://www.youtube.com/watch?v=50ZYcZebIec) - ### Unicode - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) @@ -1515,31 +1507,31 @@ You're never really done. - ### Endianness - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - [ ] [Big Endian Vs Little Endian (vídeo)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (vídeo)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - Very technical talk for kernel devs. Don't worry if most is over your head. - The first half is enough. - ### Emacs and vi(m) - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) + - [Editing With vim 01 - Installation, Setup, and The Modes (vídeo)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: + - set of 4 vídeos: - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): + - [Basics Emacs Tutorial (vídeo)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) + - set of 3 (vídeos): - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (vídeo)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) + - [(maybe) Org Mode In Depth: Managing Structure (vídeo)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix command line tools - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. @@ -1555,7 +1547,7 @@ You're never really done. - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) -- ### Information theory (videos) +- ### Information theory (vídeos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - [ ] more about Markov processes: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) @@ -1563,7 +1555,7 @@ You're never really done. - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - See more in MIT 6.050J Information and Entropy series below. -- ### Parity & Hamming Code (videos) +- ### Parity & Hamming Code (vídeos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - [ ] Hamming Code: @@ -1572,27 +1564,27 @@ You're never really done. - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) + - also see vídeos below + - make sure to watch information theory vídeos first + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (vídeo)](https://youtu.be/JnJq3Py0dyM?t=176) - ### Cryptography - - also see videos below - - make sure to watch information theory videos first + - also see vídeos below + - make sure to watch information theory vídeos first - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): + - make sure to watch information theory vídeos first + - [ ] Computerphile (vídeos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) + - [ ] [Compressor Head vídeos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - ### Networking @@ -1606,11 +1598,11 @@ You're never really done. - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [vídeo Series (21 vídeos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [MIT (23 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) @@ -1625,15 +1617,15 @@ You're never really done. - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Garbage collection (Java); Augmenting data str (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compilers (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [GC in Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + - [ ] [Deep Dive Python: Garbage Collection in CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Parallel Programming - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - [ ] [Efficient Python for High Performance Parallel Computing (vídeo)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) @@ -1641,7 +1633,7 @@ You're never really done. - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) + - [gRPC 101 for Java Developers (vídeo)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - [ ] [Redis](http://redis.io/) - [Tutorial](http://try.redis.io/) - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) @@ -1660,8 +1652,8 @@ You're never really done. - ### Fast Fourier Transform - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) + - [ ] [What is the Fourier Transform? (vídeo)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) + - [ ] [Divide & Conquer: FFT (vídeo)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - ### Bloom Filter @@ -1680,7 +1672,7 @@ You're never really done. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) + - [ ] [Divide & Conquer: van Emde Boas Trees (vídeo)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - ### Augmented Data Structures @@ -1690,18 +1682,18 @@ You're never really done. - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits to track the path. - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [Sedgewick - Tries (3 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] Short course vídeos: + - [ ] [Introduction To Tries (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [Stanford Lecture (real world use case) (vídeo)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - ### Balanced search trees @@ -1725,9 +1717,9 @@ You're never really done. balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it attractive for data structures that may be built once and loaded without reconstruction, such as language dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) + - [ ] [MIT AVL Trees / AVL Sort (vídeo)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) + - [ ] [AVL Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) + - [ ] [AVL Tree Implementation (vídeo)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - [ ] **Splay trees** @@ -1735,10 +1727,10 @@ You're never really done. Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] [CS 61B: Splay Trees (vídeo)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] MIT Lecture: Splay Trees: - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + - [vídeo](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - [ ] **Red/black trees** - these are a translation of a 2-3 tree (see below) @@ -1750,8 +1742,8 @@ You're never really done. the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) + - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (vídeo)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) + - [ ] [Aduni - Algorithms - Lecture 5 (vídeo)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) @@ -1759,9 +1751,9 @@ You're never really done. - In practice: 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) + - [ ] [23-Tree Intuition and Definition (vídeo)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [2-3 Trees (student recitation) (vídeo)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] **2-3-4 Trees (aka 2-4 trees)** - In practice: @@ -1769,9 +1761,9 @@ You're never really done. operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) + - [ ] [CS 61B Lecture 26: Balanced Search Trees (vídeo)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [Bottom Up 234-Trees (vídeo)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Top Down 234-Trees (vídeo)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - [ ] **N-ary (K-ary, M-ary) trees** - note: the N or K is the branching factor (max branches) @@ -1787,10 +1779,10 @@ You're never really done. block in a particular file. The basic problem is turning the file block i address into a disk block (or perhaps to a cylinder-head-sector) address. - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + - [ ] [Introduction to B-Trees (vídeo)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) + - [ ] [B-Tree Definition and Insertion (vídeo)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [B-Tree Deletion (vídeo)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [MIT 6.851 - Memory Hierarchy Models (vídeo)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - covers cache-oblivious B-Trees, very interesting data structures - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) @@ -1798,61 +1790,61 @@ You're never really done. - ### k-D Trees - great for finding number of points in a rectangle or higher dimension object - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + - [ ] [Kd Trees (vídeo)](https://www.youtube.com/watch?v=W94M9D_yXKk) + - [ ] [kNN K-d tree algorithm (vídeo)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - ### Skip lists - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Randomization: Skip Lists (vídeo)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) + - [ ] [Ford-Fulkerson in 5 minutes (vídeo)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson Algorithm (vídeo)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Network Flows (vídeo)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (vídeo)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [Sedgewick Algorithms - Union-Find (6 vídeos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) + - [ ] [Integer Arithmetic, Karatsuba Multiplication (vídeo)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (vídeo)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - ### Treap - Combination of a binary search tree and a heap - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) + - [ ] [Data Structures: Treaps explained (vídeo)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) -- ### Linear Programming (videos) +- ### Linear Programming (vídeos) - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) -- ### Geometry, Convex hull (videos) +- ### Geometry, Convex hull (vídeos) - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - ### Discrete math - - see videos below + - see vídeos below - ### Machine Learning - [ ] Why ML? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (vídeo)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Google's Cloud Machine learning tools (vídeo)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (vídeo)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) + - [ ] [Tensorflow (vídeo)](https://www.youtube.com/watch?v=oZikw5k_2FM) - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - Courses: - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - [vídeos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - see vídeos 12-18 for a review of linear algebra (14 and 15 are duplicates) - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) @@ -1867,7 +1859,7 @@ You're never really done. - Data School: http://www.dataschool.io/ - ### Go - - [ ] Videos: + - [ ] vídeos: - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) @@ -1892,7 +1884,7 @@ You're never really done. - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) -- [ ] **More Dynamic Programming** (videos) +- [ ] **More Dynamic Programming** (vídeos) - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) @@ -1901,11 +1893,11 @@ You're never really done. - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) -- [ ] **Advanced Graph Processing** (videos) +- [ ] **Advanced Graph Processing** (vídeos) - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): +- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (vídeos): - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) @@ -1915,10 +1907,10 @@ You're never really done. - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) +- [ ] [Simonson: Approximation Algorithms (vídeo)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - [ ] **String Matching** - - [ ] Rabin-Karp (videos): + - [ ] Rabin-Karp (vídeos): - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) @@ -1928,7 +1920,7 @@ You're never really done. - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - [ ] Boyer–Moore string search algorithm - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (vídeo)](https://www.youtube.com/watch?v=QDZpzctPf10) - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - nice explanation of tries @@ -1937,80 +1929,80 @@ You're never really done. - [ ] **Sorting** - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [ ] [Lecture 15 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) + - [ ] [Lecture 16 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) + - [ ] [Algorithms - Sorting - Lecture 2 (vídeo)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) + - [ ] [Algorithms - Sorting II - Lecture 3 (vídeo)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + - [ ] [lecture begins at 26:46 (vídeo)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [lecture begins at 27:40 (vídeo)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 35:00 (vídeo)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 23:50 (vídeo)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Video Series +## vídeo Series Sit back and enjoy. "Netflix and skill" :P - [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) +- [ ] [x86 Architecture, Assembly, Applications (11 vídeos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 vídeos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) +- [ ] [Discrete Mathematics by Shai Simonson (19 vídeos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 vídeos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) -- [ ] CSE373 - Analysis of Algorithms (25 videos) +- [ ] CSE373 - Analysis of Algorithms (25 vídeos) - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 vídeos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 vídeos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) +- [ ] [UC Berkeley 61C: Machine Structures (26 vídeos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) +- [ ] [OOSE: Software Dev Using UML and Java (21 vídeos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 vídeos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) +- [ ] [MIT 6.004: Computation Structures (49 vídeos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 vídeos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) +- [ ] [MIT 6.006: Intro to Algorithms (47 vídeos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) +- [ ] [MIT 6.033: Computer System Engineering (22 vídeos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 vídeos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 vídeos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 vídeos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) +- [ ] [MIT 6.851: Advanced Data Structures (22 vídeos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 vídeos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 vídeos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) +- [ ] [Stanford: Programming Paradigms (27 vídeos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) +- [ ] [Mining Massive Datasets - Stanford University (94 vídeos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) +- [ ] [Graph Theory by Sarada Herke (67 vídeos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) ## Computer Science Courses From 8ef5b643f04b6a4929246792da602bbff4b492cf Mon Sep 17 00:00:00 2001 From: Alan Garcia Date: Mon, 2 Jan 2017 22:29:17 -0700 Subject: [PATCH 021/236] Translate chunk 15 --- README.md | 76 +++++++++++++++++++++++++++---------------------------- 1 file changed, 38 insertions(+), 38 deletions(-) diff --git a/README.md b/README.md index c5fc22cd3e..c71d60f39c 100644 --- a/README.md +++ b/README.md @@ -123,10 +123,10 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Entropy](#entropy) - [Cryptography](#cryptography) - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) + - [Redes](#redes) (si tienes experiencia en redes o quieres ser ingeniero de sistemas, espera preguntas) + - [Seguridad informática](#seguridad-informática) + - [Recolección de basura](#recolección-de-basura) + - [Programación paralela](#programación-paralela) - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - [Fast Fourier Transform](#fast-fourier-transform) - [Bloom Filter](#bloom-filter) @@ -1613,45 +1613,45 @@ You're never really done. - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know +- ### Redes + - **si tienes experiencia en redes o quieres ser ingeniero en sistemas, espera preguntas** + - pero de cualquier forma es bueno saber lo siguiente - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [UDP y TCP: Comparación de protocolos de transporte](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP y el modelo OSI, ¡explicado!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Transmisión de paquetes a través del Internet. Tutorial en redes y TCP/IP.](https://www.youtube.com/watch?v=nomyRJehhnM) - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL y HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming + - [ ] [Serie de vídeos (21 vídeos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subredes desmistificadas - Notación CIDR Parte 5](https://www.youtube.com/watch?v=t5xYI0jzOf4) + +- ### Seguridad informática + - [MIT (23 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introducción, modelos de amenaza](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ataques de secuestro de control](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) + - [ ] [Desbordamientos de búfer: ataques y defensas](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) + - [ ] [Separación de privilegios](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Capacidades](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Aislamiento de código nativo](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) + - [ ] [Modelo de seguridad web](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Asegurando aplicaciones web](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ejecución simbólica](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Seguridad de redes](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Protocolos de red](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Ataque de canal lateral](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- ### Recolección de basura +    - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compiladores (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [Recolección de basura en Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Deep Dive Java: ¡La recolección de basura es buena!](https://www.infoq.com/presentations/garbage-collection-benefits) +    - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + +- ### Programación paralela - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - [ ] [Python eficiente para computación paralela de alto rendimiento (vídeo)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) From 3de51e7a0873247e3bf84a71c7319d1884521609 Mon Sep 17 00:00:00 2001 From: Alan Garcia Date: Mon, 2 Jan 2017 22:33:42 -0700 Subject: [PATCH 022/236] Update README-es.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c71d60f39c..007192096d 100644 --- a/README.md +++ b/README.md @@ -1643,11 +1643,11 @@ You're never really done. - [ ] [Ataque de canal lateral](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - ### Recolección de basura -    - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Recolección de basura (Java); Aumentando estructuras de datos (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - [ ] [Compiladores (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - [ ] [Recolección de basura en Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: ¡La recolección de basura es buena!](https://www.infoq.com/presentations/garbage-collection-benefits) -    - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + - [ ] [Deep Dive Python: La recolección de basura en CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Programación paralela - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) From 3462f0918ccdb12080e21ffbc460042a5a88e35e Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 14 Jan 2017 17:15:28 -0200 Subject: [PATCH 023/236] updated translation and fixed typos --- translations/README-ptbr.md | 114 ++++++++++++++++++------------------ 1 file changed, 57 insertions(+), 57 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 824b98180b..7c3f609119 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -147,7 +147,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est Estou seguindo esse plano para me preparar para a minha entrevista com a Google. Eu estive construindo a web, construindo serviços, e lançando startups desde 1997. Eu sou graduado em economia, não em ciência da computação. Eu tenho sido muito bem sucedido em minha carreira, mas eu quero trabalhar na Google. Quero progredir para sistemas maiores e realmente entender sistemas de computação, eficiência algorítmica, desempenho de estrutura de dados, linguagens de baixo nível, e como tudo funciona. E se você não sabe nada disso, a Google não vai te contratar. -Quando eu começei esse projeto, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to +Quando eu comecei esse projeto, I didn't know a stack from a heap, didn't know Big-O anything, nada sobre árvores, or how to traverse a graph. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por baixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. @@ -155,11 +155,11 @@ Mas depois de passar por esse plano de estudo sou confiante de que serei contrat ## Como usar -Tudo abaixo é um esboço, e você deve abordar os items em ordem de cima para baixo. +Tudo abaixo é um esboço, e você deve abordar os itens em ordem de cima para baixo. Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de tarefas para verificar o progresso. -**Crie um novo branch para você verificar items assim, apenas coloque um x entre os colchetes: [x]** +**Crie um novo branch para você verificar itens assim, apenas coloque um x entre os colchetes: [x]** Bifurque (fork) um branch e siga os comandos abaixo @@ -184,7 +184,7 @@ Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de ta ## Entre no Clima de um Googler -Imprima um "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" cartaz (ou dois) e mantenha seus olhos no prêmio. +Imprima um cartaz (ou dois) de "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" e mantenha seus olhos no prêmio. [![cartaz de um futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) @@ -233,7 +233,7 @@ Estou na jornada, também. Me acompanhe: ## Sobre os recursos em vídeo Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, EdX, ou Lynda.com. Esses são chamados de MOOCs (Curso Online Aberto e Massivo). -Ás vezes as aulas não estão em sessão, nesse caso você terá que esperar alguns meses, portanto não terá acesso até lá. Os cursos da Lynda.com não são gratuitos. +Às vezes as aulas não estão em sessão, nesse caso você terá que esperar alguns meses, portanto não terá acesso até lá. Os cursos da Lynda.com não são gratuitos. Eu agradeceria a ajuda de vocês em adicionar fontes públicas gratuitas e sempre disponíveis, como vídeos do YouTube para acompanhar os vídeos de curso online. Eu gosto de usar palestras de universidades; @@ -270,13 +270,13 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (vídeo)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - [ ] How to Get a Job at the Big 4: - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (vídeo)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) + - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) (Falhando em Entrevistas da Google) ## Escolha Uma Linguagem para a Entrevista -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) +Eu escrevi esse pequeno artigo sobre isso: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) (Importante: Escolha Uma Linguage para a Entrevista da Google) -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: +Você pode escolher uma linguagem com a qual você esteja confortável para fazer a parte de programar (parte prática) da entrevista, mas para a Google, essas são ótimas opções: - C++ - Java @@ -287,48 +287,48 @@ You could also use these, but read around first. There may be caveats: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable. +You need to be very comfortable in the language and be knowledgeable[1]. [1]*translator note > clarify with author: "knowledgeable about the chosen language or knowledgeable in general? (about programming in general)* -Read more about choices: +Leia mais sobre as escolhas: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[See language resources here](programming-language-resources.md) +[Veja recursos de linguagens aqui](programming-language-resources.md) -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. +Você vai ver aprendizado de C, C++ e Python incluído abaixo, porque eu estou aprendendo. Tem alguns livros envolvidos, veja no final. -## Book List +## Lista de Livros This is a shorter list than what I used. This is abbreviated to save you time. -### Interview Prep +### Preparação para a Entrevista -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) (Entrevistas de Programação Expostas: Segredos para Conseguir Seu Próximo Emprego, 2ª Edição) + - respostas em C++ e Java - recommended in Google candidate coaching - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) + - não é muito difícil, a maioria dos problemas poderão ser mais fáceis dos que você verá em uma entrevista (de acordo com o que li) - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". + - respostas em Java + - recomendado no [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) (site de Carreiras da Google) + - If you see people reference "The Google Resume", it was a livro replaced by "Cracking the Coding Interview". -If you have tons of extra time: +Se você tem muito tempo sobrando: - [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. + - todo código em C++, muito bom se você está pensando em usar C++ na sua entrevista + - um bom livro sobre resolução de problemas em geral. -### Computer Architecture +### Arquitetura de Computador -If short on time: +Se estiver com pouco tempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. + - O livro foi publicado em 2004, e está meio vencido, mas é um recurso maravilhoso para compreender um computador resumidamente. - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - These chapters are worth the read to give you a nice foundation: - - Chapter 2 - Numeric Representation + - Chapter 2 - Numeric Representation (Capítulo 2 - Representação Numérica) - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation - Chapter 5 - Character Representation @@ -338,14 +338,14 @@ If short on time: - Chapter 10 - Instruction Set Architecture - Chapter 11 - Memory Architecture and Organization -If you have more time (I want this book): +Se você tem mais tempo (eu quero esse livro): - [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - For a richer, more up-to-date (2011), but longer treatment -### Language Specific +### Específico de Linguagem -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. +**Você precisa escolher uma linguagem para a entrevista (veja acima).** Aqui estão minhas recomendações por linguagem. Eu não conheço recursos para todas as linguagens. Contribuições de recursos aqui são bem-vindas. If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. **You can skip all the vídeo lectures in this project**, unless you'd like a review. @@ -373,25 +373,25 @@ OR: - [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - by Goodrich, Tamassia, Goldwasser - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. + - see my book report on the Python version below. This livro covers the same topics. ### Python - [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. + - I loved this livro. It covered everything and more. - Pythonic code - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ -### Optional Books +### Livros Opcionais **Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - As a review and problem recognition - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: + - This livro has 2 parts: - class textbook on data structures and algorithms - pros: - is a good review as any algorithms textbook would be @@ -402,12 +402,12 @@ OR: - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - algorithm catalog: - - this is the real reason you buy this book. + - this is the real reason you buy this livro. - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also + - To quote Yegge: "More than any other livro it helped me understand just how astonishingly commonplace + (and important) graph problems are – they should be part of every working programmer's toolkit. The livro also covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve + of the livro, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." - Can rent it on kindle @@ -418,8 +418,8 @@ OR: - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." + - **Important:** Reading this livro will only have limited value. This livro is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. + - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that livro." - Half.com is a great resource for textbooks at good prices. - aka CLR, sometimes CLRS, because Stein was late to the game @@ -428,8 +428,8 @@ OR: that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. + - A fine livro, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - Would rather spend time on coding problems from another livro or online coding problems. ## Before you Get Started @@ -523,9 +523,9 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Prerequisite Knowledge - [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, vídeos, *everywhere* while you're studying. + - C is everywhere. You'll see examples in livros, lectures, vídeos, *everywhere* while you're studying. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little + - This is a short livro, but it will give you a great handle on the C language and if you practice it a little you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - [answers to questions](https://github.com/lekkas/c-algorithms) @@ -540,7 +540,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (vídeo)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] Skiena: - [vídeo](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/vídeo-lectures/2007/lecture2.pdf) + - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) - [ ] [Orders of Growth (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/59) - [ ] [Asymptotics (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/61) @@ -939,7 +939,7 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] list strongly connected components - [ ] check for bipartite graph -You'll get more graph practice in Skiena's book (see Books section below) and the interview books +You'll get more graph practice in Skiena's livro (see livros section below) and the interview livros ## Even More Knowledge @@ -1025,7 +1025,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Chapter 6 (Part 1) - Patterns (vídeo)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (vídeo)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (vídeo)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of vídeos (27 vídeos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Séries de vídeos (27 vídeos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) @@ -1206,7 +1206,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Transactions Across Datacenters (vídeo)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) - [ ] Paxos Consensus algorithm: - - [short vídeo](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [vídeo curto](https://www.youtube.com/watch?v=s8JqcZtvnsM) - [extended vídeo with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) @@ -1248,7 +1248,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live vídeo Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-vídeo-streaming-at-facebook-scale.html) + - [ ] [Live vídeo Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) @@ -1257,7 +1257,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live vídeo Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-vídeo-broadcasting-architecture.html) + - [ ] [Justin.Tv's Live vídeo Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) @@ -1304,8 +1304,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th ## Final Review - This section will have shorter vídeos that you can watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. + Essa seção terá vídeos mais curtos que você pode assistir rapidamente para revisar a maioria dos conceitos importantes. + É legal se você quiser dar uma refrescada na memória. - [ ] Series of 2-3 minutes short subject vídeos (23 vídeos) - [vídeos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) @@ -1355,7 +1355,7 @@ Why you need to practice doing programming problems: - testing your solutions There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: +interview livros, too, but I found this outstanding: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) [My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) @@ -1473,7 +1473,7 @@ You're never really done. --- -## Additional Books +## Livros Adicionais - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - an oldie but a goodie @@ -1851,7 +1851,7 @@ You're never really done. - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - Resources: - - Books: + - Livros: - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) @@ -1863,7 +1863,7 @@ You're never really done. - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: + - [ ] Livros: - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) @@ -1940,7 +1940,7 @@ You're never really done. - [ ] [lecture begins at 35:00 (vídeo)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (vídeo)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## vídeo Series +## Séries de Vídeo Sit back and enjoy. "Netflix and skill" :P From faff8efae0c48a50b4846b3fd73e5ae90540577b Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Thu, 16 Feb 2017 18:25:24 -0200 Subject: [PATCH 024/236] Translate topic --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7c3f609119..f41a1cdabb 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -34,7 +34,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Processo de Entrevista e Preparação Geral para a Entrevista](#processo-de-entrevista-e-preparação-geral-para-a-entrevista) - [Escolha Uma Linguagem para a Entrevista](#escolha-uma-linguagem-para-a-entrevista) - [Lista de Livros](#lista-de-livros) -- [Before you Get Started](#before-you-get-started) +- [Antes de começar](#antes-de-comecar) - [What you Won't See Covered](#what-you-wont-see-covered) - [Prerequisite Knowledge](#prerequisite-knowledge) - [The Daily Plan](#the-daily-plan) @@ -432,7 +432,7 @@ OR: - Would rather spend time on coding problems from another livro or online coding problems. -## Before you Get Started +## Antes de começar This list grew over many months, and yes, it kind of got out of hand. From b4523c0bd850cf8b93459b57ac29391143f191e3 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Thu, 16 Feb 2017 18:30:39 -0200 Subject: [PATCH 025/236] Fix typo. --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index f41a1cdabb..e11fd6cd96 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -34,7 +34,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Processo de Entrevista e Preparação Geral para a Entrevista](#processo-de-entrevista-e-preparação-geral-para-a-entrevista) - [Escolha Uma Linguagem para a Entrevista](#escolha-uma-linguagem-para-a-entrevista) - [Lista de Livros](#lista-de-livros) -- [Antes de começar](#antes-de-comecar) +- [Antes de começar](#antes-de-começar) - [What you Won't See Covered](#what-you-wont-see-covered) - [Prerequisite Knowledge](#prerequisite-knowledge) - [The Daily Plan](#the-daily-plan) From b38189776821f6cae801f2c87a8503064fd38895 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Tue, 21 Feb 2017 19:21:18 -0300 Subject: [PATCH 026/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index e11fd6cd96..13ec946251 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -434,11 +434,11 @@ OR: ## Antes de começar -This list grew over many months, and yes, it kind of got out of hand. +Essa lista cresceu por longos meses, e sim, ela meio que saiu do controle. -Here are some mistakes I made so you'll have a better experience. +Aqui estão alguns erros que eu cometi para que você tenha uma melhor experiência. -### 1. You Won't Remember it All +### 1. Você não se lembrará disso tudo I watched hours of vídeos and took copious notes, and months later there was much I didn't remember. I spent 3 days going through my notes and making flashcards so I could review. From 3cfe62998e7561462684896209585799831cd5b7 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Wed, 22 Feb 2017 12:55:56 -0300 Subject: [PATCH 027/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 13ec946251..4584354ab3 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -449,8 +449,8 @@ Read please so you won't make my mistakes: ### 2. Use Flashcards -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +Para solucionar o problema, eu fiz um pequeno site flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. +Cada cartão tem formatação diferente. I made a mobile-first website so I could review on my phone and tablet, wherever I am. From befcb6469a23fee35fa70aca237fd5fb77de45a0 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Wed, 22 Feb 2017 13:01:10 -0300 Subject: [PATCH 028/236] Fix line-break. --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 4584354ab3..352ff5ee41 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -449,7 +449,7 @@ Read please so you won't make my mistakes: ### 2. Use Flashcards -Para solucionar o problema, eu fiz um pequeno site flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. +Para solucionar o problema, eu fiz um pequeno site flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. Cada cartão tem formatação diferente. I made a mobile-first website so I could review on my phone and tablet, wherever I am. From 2b1581292a3e8a15cb2cb6c124216122a2823695 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Tue, 7 Mar 2017 21:45:59 -0300 Subject: [PATCH 029/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 352ff5ee41..5482a84233 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -440,10 +440,9 @@ Aqui estão alguns erros que eu cometi para que você tenha uma melhor experiên ### 1. Você não se lembrará disso tudo -I watched hours of vídeos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +Assisti a horas de vídeos e fiz anotaçes e meses depois havia muito que eu não me lembrava. Eu passei 3 dias revisando minhas anotaçes e fazendo flashcards para que eu pudesse relembrar. -Read please so you won't make my mistakes: +Por favor, leia para que você não cometa os meus erros: [Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) @@ -452,9 +451,9 @@ Read please so you won't make my mistakes: Para solucionar o problema, eu fiz um pequeno site flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. Cada cartão tem formatação diferente. -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +Eu fiz um website mobile-first para que eu pudesse rever no meu celular, tablet, onde quer que eu esteja. -Make your own for free: +Faça o seu próprio grátis: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) - [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): From 6aed515c4ce1c70d195ed76f65169926b4b2e6f5 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Tue, 7 Mar 2017 22:54:20 -0300 Subject: [PATCH 030/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 5482a84233..762502a84c 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -455,13 +455,13 @@ Eu fiz um website mobile-first para que eu pudesse rever no meu celular, tablet, Faça o seu próprio grátis: -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): -- [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): +- [Flashcards repositório](https://github.com/jwasham/computer-science-flash-cards) +- [Minha base de dados flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [Minha base de dados flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the +**Nota:** The first time you recognize you know the answer, don't mark it as known. You have to see the same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in your brain. From 2cf85df5c42aa83332d98f115395b8e917293fd8 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Thu, 9 Mar 2017 23:10:02 -0300 Subject: [PATCH 031/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 762502a84c..cf3d010059 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -459,11 +459,9 @@ Faça o seu próprio grátis: - [Minha base de dados flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. +Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. É demais para o que é exigido pelo Google. -**Nota:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +**Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. From e9d5d45e64b3983d34b442c56648d3b83d3d39be Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Thu, 9 Mar 2017 23:22:07 -0300 Subject: [PATCH 032/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index cf3d010059..1cefe7ad28 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -463,10 +463,10 @@ Keep in mind I went overboard and have cards covering everything from assembly l **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. +Uma alternativa ao uso do meu site flashcard é [Anki](http://ankisrs.net/), que me foi recomendado várias vezes. Ele usa um sistema de repetição para ajuda-lo a se lembrar. +É fácil de usar, está disponível em todas as plataformas e possui um sistema de sincronização em nuvem. Ele custa 25 dólares no iOS, mas é gratuito em outras plataformas. -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) +Meu banco de dados flashcard em formato Anki: https://ankiweb.net/shared/info/25173560 (obrigado [@xiewenya](https://github.com/xiewenya)) ### 3. Review, review, review From 226ff14b0684a77ed3622042e8ea86890b328327 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Thu, 9 Mar 2017 23:40:33 -0300 Subject: [PATCH 033/236] translate more of 'Before you Get Started' --- translations/README-ptbr.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 1cefe7ad28..c87ca59d02 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -468,15 +468,15 @@ Uma alternativa ao uso do meu site flashcard é [Anki](http://ankisrs.net/), que Meu banco de dados flashcard em formato Anki: https://ankiweb.net/shared/info/25173560 (obrigado [@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. Reveja, Reveja e Reveja -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. +Eu mantenho um conjunto de anotações em ASCII, OSI stack, Big-O notations, e muito mais. Eu os estudo quando tenho algum tempo livre. -Take a break from programming problems for a half hour and go through your flashcards. +Faça uma pausa dos problemas de programação por meia hora e passe por seus flashcards. -### 4. Focus +### 4. Foco -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. +Há um monte de distrações que podem ocupar um tempo valioso. Foco e concentração são difíceis. ## What you won't see covered From 48e45aadf5066138f1183bfcd759ad4caf2070c2 Mon Sep 17 00:00:00 2001 From: Amr Reda Date: Fri, 10 Mar 2017 17:03:22 +1100 Subject: [PATCH 034/236] translate the list of contents in arabic --- translations/README-ar.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/translations/README-ar.md b/translations/README-ar.md index e59ab88be7..681ccd94bf 100644 --- a/translations/README-ar.md +++ b/translations/README-ar.md @@ -1,8 +1,8 @@ # الإعداد لجوجل -Translations: +الترجمه: - [中文版本](translations/README-cn.md) -- translations in progress: +- الترجمات تحت الاعداد: - [Español](https://github.com/jwasham/google-interview-university/issues/80) - [हिन्दी](https://github.com/jwasham/google-interview-university/issues/81) - [עברית](https://github.com/jwasham/google-interview-university/issues/82) @@ -21,7 +21,7 @@ Translations: هي خطة من عدة أشهر من مطور تطبيقات ويب (قائمة على التعليم الذاتي، ومبدون درجة علمية في علوم الحاسب) لمنصب مهندس برمجيات بجوجل -![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) +![HBO كتابة الكود علي السبورة - من وادي السيليكون](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) هذه القائمة الطويلة تم إعدادها من ملاحظات الإعداد لجوجل، لذلك هي الأشياء مطالب بمعرفتها. هناك أشياء إضافية أضفتها في آخر القائمة التي ربما تأتي في المقابلة الشخصية أو تساعد في حل المشاكل البرمجية. كتيرا من العناصر من: كتاب ستيف ياج "[احصل على وظيفة بجوجل](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" ومن حين لآخر ملاحظات الإعداد لجوجل. @@ -37,17 +37,17 @@ Translations: ## الفهرس -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) +- [ماهذا؟](#what-is-it) +- [لماذا استخدمه؟](#why-use-it) +- [كيفية استخدامها](#how-to-use-it) +- [الدخول في مزاج جوجلي](#get-in-a-googley-mood) +- [هل حصلت علي الوظيفه؟](#did-i-get-the-job) +- [تابعني باستمرار](#follow-along-with-me) +- [هل تشعر أنك لست بالذكاء الكافي](#dont-feel-you-arent-smart-enough) +- [عن جوجل](#about-google) +- [عن مصادر الفديو](#about-video-resources) +- [مراحل المقابلة الشخصية & الإستعداد العام للمقابلة](#interview-process--general-interview-prep) +- [اختر لغة برمجية واحدة للمقابلة البرمجية](#pick-one-language-for-the-interview) - [Book List](#book-list) - [Before you Get Started](#before-you-get-started) - [What you Won't See Covered](#what-you-wont-see-covered) @@ -195,7 +195,7 @@ Translations: [More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Get in a Googley Mood +## الدخول في مزاج جوجلي Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. @@ -234,8 +234,8 @@ I'm on the journey, too. Follow along: ## عن جوجل -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: +- [ ] لطلبه - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) +- [ ] كيف يعمل محرك البحث: - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) @@ -343,7 +343,7 @@ If you have tons of extra time: - all code is in C++, very good if you're looking to use C++ in your interview - a good book on problem solving in general. -### Computer Architecture +### بنية الحاسوب If short on time: From 17c6e80e436952dbcd6c2bd72900db962f69175b Mon Sep 17 00:00:00 2001 From: Larissa Gabilan Date: Fri, 10 Mar 2017 23:20:38 -0300 Subject: [PATCH 035/236] translate more of Before you get Started --- translations/README-ptbr.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index c87ca59d02..d21d264e2a 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -459,7 +459,8 @@ Faça o seu próprio grátis: - [Minha base de dados flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. É demais para o que é exigido pelo Google. +Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo as linguagens assembly e Phyton, essencial para machine learning e estatsticas. É demais para o que é exigido pelo Google.  + **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. From b3ee91c375288e153e3f38e56d37cc5ec8dc5695 Mon Sep 17 00:00:00 2001 From: Marcelo Ogeda Date: Fri, 10 Mar 2017 23:31:03 -0300 Subject: [PATCH 036/236] Fix typo. --- translations/README-ptbr.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index d21d264e2a..7f72253b6b 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -459,8 +459,7 @@ Faça o seu próprio grátis: - [Minha base de dados flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo as linguagens assembly e Phyton, essencial para machine learning e estatsticas. É demais para o que é exigido pelo Google.  - +Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo as linguagens assembly e Phyton, essencial para machine learning e estatísticas. É demais para o que é exigido pelo Google.  **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. From 28efcd50630b58be9bc308023a95fa8c3452c20c Mon Sep 17 00:00:00 2001 From: Larissa Gabilan Date: Fri, 10 Mar 2017 23:42:12 -0300 Subject: [PATCH 037/236] translate topic --- translations/README-ptbr.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7c3f609119..207217c37c 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -481,10 +481,9 @@ Take a break from programming problems for a half hour and go through your flash There are a lot of distractions that can take up valuable time. Focus and concentration are hard. -## What you won't see covered +## O que você não verá -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: +Essa grande lista começou como uma "to-do list" pessoal feita pelo centro de treinamento do Google. Essas são tecnologias prevalentes, mas não foram mencionadas nessas notas: - SQL - Javascript From 41eb1100e177c6af1d9cd4cfa6b731772cbc9405 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 11 Mar 2017 22:19:55 -0300 Subject: [PATCH 038/236] fixed typos --- translations/README-ptbr.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7f72253b6b..4001cbed6e 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -440,7 +440,7 @@ Aqui estão alguns erros que eu cometi para que você tenha uma melhor experiên ### 1. Você não se lembrará disso tudo -Assisti a horas de vídeos e fiz anotaçes e meses depois havia muito que eu não me lembrava. Eu passei 3 dias revisando minhas anotaçes e fazendo flashcards para que eu pudesse relembrar. +Assisti a horas de vídeos e fiz anotações e meses depois havia muito que eu não me lembrava. Eu passei 3 dias revisando minhas anotaçes e fazendo flashcards para que eu pudesse relembrar. Por favor, leia para que você não cometa os meus erros: @@ -448,25 +448,25 @@ Por favor, leia para que você não cometa os meus erros: ### 2. Use Flashcards -Para solucionar o problema, eu fiz um pequeno site flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. +Para solucionar o problema, eu fiz um pequeno site de flashcards onde eu poderia adicionar dois tipos de flashcards: genérico e código. Cada cartão tem formatação diferente. -Eu fiz um website mobile-first para que eu pudesse rever no meu celular, tablet, onde quer que eu esteja. +Eu fiz um website focado em mobile para que eu pudesse rever no meu celular, tablet, onde quer que eu esteja. Faça o seu próprio grátis: -- [Flashcards repositório](https://github.com/jwasham/computer-science-flash-cards) -- [Minha base de dados flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): -- [Minha base de dados flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): +- [Repositório de flashcards](https://github.com/jwasham/computer-science-flash-cards) +- [Minha base de dados de flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [Minha base de dados de flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo as linguagens assembly e Phyton, essencial para machine learning e estatísticas. É demais para o que é exigido pelo Google.  +Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é exigido pelo Google.  **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. -Uma alternativa ao uso do meu site flashcard é [Anki](http://ankisrs.net/), que me foi recomendado várias vezes. Ele usa um sistema de repetição para ajuda-lo a se lembrar. +Uma alternativa ao uso do meu site de flashcards é [Anki](http://ankisrs.net/), que me foi recomendado várias vezes. Ele usa um sistema de repetição para ajuda-lo a se lembrar. É fácil de usar, está disponível em todas as plataformas e possui um sistema de sincronização em nuvem. Ele custa 25 dólares no iOS, mas é gratuito em outras plataformas. -Meu banco de dados flashcard em formato Anki: https://ankiweb.net/shared/info/25173560 (obrigado [@xiewenya](https://github.com/xiewenya)) +Meu banco de dados de flashcards em formato Anki: https://ankiweb.net/shared/info/25173560 (obrigado [@xiewenya](https://github.com/xiewenya)) ### 3. Reveja, Reveja e Reveja From ddb4f56646b40e850ec99433b6ba09a5d098268d Mon Sep 17 00:00:00 2001 From: Woramet Muangsiri Date: Tue, 14 Mar 2017 11:19:51 +0900 Subject: [PATCH 039/236] Fix typos --- translations/README-th.md | 37 ++++++++++++++++++------------------- 1 file changed, 18 insertions(+), 19 deletions(-) diff --git a/translations/README-th.md b/translations/README-th.md index 371d20ae2b..410b417924 100644 --- a/translations/README-th.md +++ b/translations/README-th.md @@ -1,6 +1,6 @@ # Coding Interview University # ->**ดั้งเดิมผมสร้างเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรรมซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมาและมีหัวข้อต่างๆ มากมายอย่าบที่คุณเห็นอยู่ทุกวันนี้ +>**ดั้งเดิมผมสร้างเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรรมซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมากและมีหัวข้อต่างๆ มากมายอย่างที่คุณเห็นอยู่ทุกวันนี้ หัวข้อต่างๆ นี้จะเป็นสิ่งที่ให้คุณเตรียมตัวสำหรับสัมภาษณ์งานสำหรับบริษัทซอฟต์แวร์รวมทั้งบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่างเช่น Amazon Facebook Google หรือ Microsoft ** > > *ขอให้คุณโชคดี!* @@ -32,7 +32,7 @@ ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -บทความนี้สำหรับคนที่อยากเป็น **วิศวกรรมซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรรมซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเคอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรรมซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากแน่นอน +บทความนี้สำหรับคนที่อยากเป็น **วิศวกรรมซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรรมซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเตอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรรมซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากแน่นอน ถ้าคุณมีประสบการณ์การพัฒนาซอฟต์แวร์หรือเว็บไซต์มาหลายปี แต่ในบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่าง Google Amazon Facebook และ Microsoft มองการพัฒนาซอฟต์แวร์ของวิศวกรรมซอฟต์แวร์ที่ต่างกันออกไปจากการพัฒนาซอฟต์แวร์หรือเว็บไซต์โดยทั่วๆไป และบริษัทที่กล่าวมานี้ก็ต้องการความรู้ทางวิทยาการคอมพิวเตอร์ที่เข้มข้นอย่างมาก @@ -88,7 +88,7 @@ - [การโปรแกรมแบบพลวัต](#dynamic-programming) - [การเขียนโปรแกรมเชิงวัตถุ](#object-oriented-programming) - [แบบแผนการออกแบบ](#design-patterns) - - [คณิตศาสตร์เชิงการจัด (n เลือก k) & ความน่าจเป็น](#combinatorics-n-choose-k--probability) + - [คณิตศาสตร์เชิงการจัด (n เลือก k) & ความน่าจะเป็น](#combinatorics-n-choose-k--probability) - [กลุ่มปัญหาเอ็นพี (NP), เอ็นพีบริบูรณ์ (NP-Complete) และ ระเบียบวิธีการประมาณการ](#np-np-complete-and-approximation-algorithms) - [แคช](#caches) - [กระบวนการ และ เทรด](#processes-and-threads) @@ -108,7 +108,7 @@ - [แบบฝึกหัดและความท้ายทายของการเขียนโปรแกรม](#coding-exerciseschallenges) - [เมื่อใกล้ถึงวันสัมภาษณ์งาน](#once-youre-closer-to-the-interview) - [ประวัติย่อของคุณ](#your-resume) -- [สิ่งที่คิดไว้ชเมื่อวันสัมภาษณ์มาถึง](#be-thinking-of-for-when-the-interview-comes) +- [สิ่งที่คิดไว้เมื่อวันสัมภาษณ์มาถึง](#be-thinking-of-for-when-the-interview-comes) - [คำถามสำหรับผู้สัมภาษณ์](#have-questions-for-the-interviewer) - [เมื่อคุณได้งาน](#once-youve-got-the-job) @@ -260,7 +260,7 @@ This is a shorter list than what I used. This is abbreviated to save you time. If you have tons of extra time: -- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) ### Computer Architecture @@ -279,7 +279,7 @@ If short on time: - Chapter 7 - Composite Data Types and Memory Objects - Chapter 9 - CPU Architecture - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization + - Chapter 11 - Memory Architecture and Organization If you have more time (I want this book): @@ -290,7 +290,7 @@ If you have more time (I want this book): **You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. +If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. **You can skip all the video lectures in this project**, unless you'd like a review. [Additional language-specific resources here.](programming-language-resources.md) @@ -299,7 +299,7 @@ If you read though one of these, you should have all the data structures and alg I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. @@ -364,7 +364,7 @@ OR: that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - Would rather spend time on coding problems from another book or online coding problems. @@ -393,7 +393,7 @@ I made a mobile-first website so I could review on my phone and tablet, wherever Make your own for free: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. @@ -402,7 +402,7 @@ Keep in mind I went overboard and have cards covering everything from assembly l same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in your brain. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. +An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) @@ -460,9 +460,9 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] **Learn C** - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little + - This is a short book, but it will give you a great handle on the C language and if you practice it a little you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) + - [answers to questions](https://github.com/lekkas/c-algorithms) - [ ] **How computers process a program:** - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) @@ -1102,7 +1102,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - ### Tries @@ -1137,7 +1137,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - Very technical talk for kernel devs. Don't worry if most is over your head. - The first half is enough. - + - ### Networking - **if you have networking experience or want to be a systems engineer, expect questions** - otherwise, this is just good to know @@ -1157,8 +1157,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th ## System Design, Scalability, Data Handling - **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. Expect to spend quite a bit of time on this. - Considerations: - scalability @@ -1469,7 +1469,7 @@ You're never really done. ## Additional Learning -These topics will likely not come up in an interview, but I added them to help you become a well-rounded +These topics will likely not come up in an interview, but I added them to help you become a well-rounded software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. - ### Compilers @@ -1937,4 +1937,3 @@ Sit back and enjoy. "Netflix and skill" :P - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - From 212c317bd22fcda5558e68de24700cd0cae238b0 Mon Sep 17 00:00:00 2001 From: Woramet Muangsiri Date: Tue, 14 Mar 2017 11:21:49 +0900 Subject: [PATCH 040/236] Fix "software engineer" translation --- translations/README-th.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-th.md b/translations/README-th.md index 410b417924..c7c81264a6 100644 --- a/translations/README-th.md +++ b/translations/README-th.md @@ -1,6 +1,6 @@ # Coding Interview University # ->**ดั้งเดิมผมสร้างเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรรมซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมากและมีหัวข้อต่างๆ มากมายอย่างที่คุณเห็นอยู่ทุกวันนี้ +>**ดั้งเดิมผมสร้างเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมากและมีหัวข้อต่างๆ มากมายอย่างที่คุณเห็นอยู่ทุกวันนี้ หัวข้อต่างๆ นี้จะเป็นสิ่งที่ให้คุณเตรียมตัวสำหรับสัมภาษณ์งานสำหรับบริษัทซอฟต์แวร์รวมทั้งบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่างเช่น Amazon Facebook Google หรือ Microsoft ** > > *ขอให้คุณโชคดี!* @@ -28,13 +28,13 @@ ## นี่คืออะไร ? -นี่เป็นแผนการศึกษาหลายเดือนของผมจากนักพัฒนาเว็บไซต์ (ด้วยการศึกษาด้วยตัวเอง โดยไม่ได้จบวิทยาการคอมพิวเตอร์) เพื่อจะเป็นวิศวกรรมซอฟต์แวร์ในบริษัทขนาดใหญ่ที่หลายๆ คนต้องการเข้าทำงานด้วย +นี่เป็นแผนการศึกษาหลายเดือนของผมจากนักพัฒนาเว็บไซต์ (ด้วยการศึกษาด้วยตัวเอง โดยไม่ได้จบวิทยาการคอมพิวเตอร์) เพื่อจะเป็นวิศวกรซอฟต์แวร์ในบริษัทขนาดใหญ่ที่หลายๆ คนต้องการเข้าทำงานด้วย ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -บทความนี้สำหรับคนที่อยากเป็น **วิศวกรรมซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรรมซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเตอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรรมซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากแน่นอน +บทความนี้สำหรับคนที่อยากเป็น **วิศวกรซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเตอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากแน่นอน -ถ้าคุณมีประสบการณ์การพัฒนาซอฟต์แวร์หรือเว็บไซต์มาหลายปี แต่ในบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่าง Google Amazon Facebook และ Microsoft มองการพัฒนาซอฟต์แวร์ของวิศวกรรมซอฟต์แวร์ที่ต่างกันออกไปจากการพัฒนาซอฟต์แวร์หรือเว็บไซต์โดยทั่วๆไป และบริษัทที่กล่าวมานี้ก็ต้องการความรู้ทางวิทยาการคอมพิวเตอร์ที่เข้มข้นอย่างมาก +ถ้าคุณมีประสบการณ์การพัฒนาซอฟต์แวร์หรือเว็บไซต์มาหลายปี แต่ในบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่าง Google Amazon Facebook และ Microsoft มองการพัฒนาซอฟต์แวร์ของวิศวกรซอฟต์แวร์ที่ต่างกันออกไปจากการพัฒนาซอฟต์แวร์หรือเว็บไซต์โดยทั่วๆไป และบริษัทที่กล่าวมานี้ก็ต้องการความรู้ทางวิทยาการคอมพิวเตอร์ที่เข้มข้นอย่างมาก ถ้าคุณต้องการเป็นวิศวกรคุณภาพ หรือวิศวกรระบบ คุณอาจจะต้องศึกษาเพิ่มเติมในรายการเพิ่มเติม (ระบบเครือข่าย, ระบบความปลอดภัย) From 948ddca3a9b45c86bdbbaa0d1b3a4928b035c46c Mon Sep 17 00:00:00 2001 From: Woramet Muangsiri Date: Tue, 14 Mar 2017 11:24:45 +0900 Subject: [PATCH 041/236] Fix "algorithmic complexity" translation --- translations/README-th.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-th.md b/translations/README-th.md index c7c81264a6..13d539411d 100644 --- a/translations/README-th.md +++ b/translations/README-th.md @@ -55,7 +55,7 @@ - [อะไรที่ไม่ครอบคลุม](#what-you-wont-see-covered) - [ความรู้ที่ต้องมีมาก่อน](#prerequisite-knowledge) - [แผนของแต่ละวัน](#the-daily-plan) -- [ขั้นตอนวิธีที่ซับซ้อน / Big-O / การวิเคราะห์ Asymptotic](#algorithmic-complexity--big-o--asymptotic-analysis) +- [ความซับซ้อนของขั้นตอนวิธี / Big-O / การวิเคราะห์ Asymptotic](#algorithmic-complexity--big-o--asymptotic-analysis) - [โครงสร้างข้อมูล](#data-structures) - [แถวลำดับ (Arrays)](#arrays) - [รายการโยง (Linked Lists)](#linked-lists) From c15d4b6e2c60ee475fc0ce33e37d46483a07addb Mon Sep 17 00:00:00 2001 From: Woramet Muangsiri Date: Tue, 14 Mar 2017 11:31:40 +0900 Subject: [PATCH 042/236] Improve translation --- translations/README-th.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-th.md b/translations/README-th.md index 13d539411d..cc07294df5 100644 --- a/translations/README-th.md +++ b/translations/README-th.md @@ -1,6 +1,6 @@ # Coding Interview University # ->**ดั้งเดิมผมสร้างเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมากและมีหัวข้อต่างๆ มากมายอย่างที่คุณเห็นอยู่ทุกวันนี้ +>**เดิมทีผมสร้างขึ้นเพื่อเป็นรายการที่ต้องทำสำหรับหัวข้อที่ต้องศึกษาเพื่อที่จะเป็นวิศวกรซอฟต์แวร์ แต่ว่ามันเติบโตขึ้นอย่างมากและมีหัวข้อต่างๆ มากมายอย่างที่คุณเห็นอยู่ทุกวันนี้ หัวข้อต่างๆ นี้จะเป็นสิ่งที่ให้คุณเตรียมตัวสำหรับสัมภาษณ์งานสำหรับบริษัทซอฟต์แวร์รวมทั้งบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่างเช่น Amazon Facebook Google หรือ Microsoft ** > > *ขอให้คุณโชคดี!* @@ -32,7 +32,7 @@ ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -บทความนี้สำหรับคนที่อยากเป็น **วิศวกรซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเตอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากแน่นอน +บทความนี้สำหรับคนที่อยากเป็น **วิศวกรซอฟต์แวร์** หรือต้องการเปลี่ยนมาจากนักพัฒนาซอฟต์แวร์หรือนักพัฒนาเว็บไซด์มาเป็นวิศวกรซอฟต์แวร์ (ผู้ซึ่งมีความรู้ความเข้าใจลึกซึ่งในหลักการของวิทยาการคอมพิวเตอร์) ถ้าคุณมีประสบการณ์หลายปีและมั่นใจในประสบการณ์การเป็นวิศวกรซอฟต์แวร์ของคุณ จะได้เจอการสัมภาษณ์ที่ยากขึ้นแน่นอน ถ้าคุณมีประสบการณ์การพัฒนาซอฟต์แวร์หรือเว็บไซต์มาหลายปี แต่ในบริษัทซอฟต์แวร์ขนาดใหญ่ของโลกอย่าง Google Amazon Facebook และ Microsoft มองการพัฒนาซอฟต์แวร์ของวิศวกรซอฟต์แวร์ที่ต่างกันออกไปจากการพัฒนาซอฟต์แวร์หรือเว็บไซต์โดยทั่วๆไป และบริษัทที่กล่าวมานี้ก็ต้องการความรู้ทางวิทยาการคอมพิวเตอร์ที่เข้มข้นอย่างมาก From 66de4ebfe119237babf7146bda2a13fc5b781ee0 Mon Sep 17 00:00:00 2001 From: Larissa Gabilan Date: Tue, 14 Mar 2017 09:41:54 -0300 Subject: [PATCH 043/236] Update README-ptbr.md --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 207217c37c..94fc449270 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -483,7 +483,7 @@ There are a lot of distractions that can take up valuable time. Focus and concen ## O que você não verá -Essa grande lista começou como uma "to-do list" pessoal feita pelo centro de treinamento do Google. Essas são tecnologias prevalentes, mas não foram mencionadas nessas notas: +Essa grande lista começou como uma "to-do list" pessoal feita por anotações do treinamento de entrevistas do Google . Essas são tecnologias predominantes, mas não foram mencionadas nessas notas: - SQL - Javascript From ff333eceaa4164afd1dd374cb8e575e01ad8b6ae Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 14 Mar 2017 10:52:57 -0300 Subject: [PATCH 044/236] update for consistency --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index ae12ea6bd2..a4c7481126 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -8,8 +8,8 @@ Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, s ![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -Essa longa lista foi extraída e expandida a partir das **anotações de treino da Google**, então essas são as coisas que você precisa saber. -Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treino da Google. +Essa longa lista foi extraída e expandida a partir das **anotações de treinamento da Google**, então essas são as coisas que você precisa saber. +Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treinamento da Google. Eu resumi o que você precisa saber das recomendações do Yegge. Eu alterei os requerimentos do Yegge com base em informações que recebi do meu contato na Google. Isso é direcionado à **engenheiros de software novos** ou àqueles que estão trocando de desenvolvimento de software/web para engenharia de software (onde conhecimento de ciência de computação é necessário). Se você tem vários anos de experiência e está alegando muitos anos de experiência com engenharia de software, pode esperar por uma entrevista mais difícil. [Leia mais](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/) From d99e381cd7d570fd6f56b8547f9af3578e602565 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 14 Mar 2017 11:00:20 -0300 Subject: [PATCH 045/236] edited for consistency --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index a4c7481126..e17002aa35 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -480,11 +480,11 @@ Há um monte de distrações que podem ocupar um tempo valioso. Foco e concentra ## O que você não verá -Essa grande lista começou como uma "to-do list" pessoal feita por anotações do treinamento de entrevistas do Google . Essas são tecnologias predominantes, mas não foram mencionadas nessas notas: +Essa grande lista começou como uma "to-do list" pessoal feita a partir de anotações do treinamento de entrevistas da Google. Essas são tecnologias predominantes, mas que não foram mencionadas nessas anotações: - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, e outras tecnologias de front-end ## The Daily Plan From e7f9f4cddc58b539011b2565fc2d1bc601788a51 Mon Sep 17 00:00:00 2001 From: John Washam Date: Fri, 17 Mar 2017 13:32:18 -0700 Subject: [PATCH 046/236] Added link to Italian translation in progress. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 378a9a9b84..e3805671bb 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,7 @@ Translations: - [German](https://github.com/jwasham/coding-interview-university/issues/135) - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) + - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) ## What is it? From 926fcc93447ce006878d62e22dc65b4c137c83e8 Mon Sep 17 00:00:00 2001 From: John Washam Date: Fri, 17 Mar 2017 13:33:13 -0700 Subject: [PATCH 047/236] Added link to Greek translation in progress. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index e3805671bb..38d1039120 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,7 @@ Translations: - [German](https://github.com/jwasham/coding-interview-university/issues/135) - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) + - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) ## What is it? From 10ecf5d209538ae45882bd14f39d8c52351fe46e Mon Sep 17 00:00:00 2001 From: Luong Dang Hai Date: Sun, 19 Mar 2017 16:48:25 +0200 Subject: [PATCH 048/236] Add a link to help with Forking a repo I also fixed some spelling mistakes and some Vietnamese writing styles. --- translations/README-vn.md | 37 ++++++++++++++++++++----------------- 1 file changed, 20 insertions(+), 17 deletions(-) diff --git a/translations/README-vn.md b/translations/README-vn.md index a1fcca9003..1f4ef490b1 100644 --- a/translations/README-vn.md +++ b/translations/README-vn.md @@ -1,4 +1,4 @@ -# Coding Interview University +# Tự ôn tập phỏng vấn về lập trình (Coding Interview University) Bản gốc: * [English](./README.md) @@ -21,9 +21,9 @@ Ghi chú riêng cho việc duy trì và cập nhật bản dịch tiếng Việt --- -> Ban đầu, đây chỉ là một danh sách to-do ngắn về các chủ đề phải ôn tập của tôi, để trở thành một kỹ sư phần mềm. Nhưng rôi nó lớn dần nên như ngày nay. Sau khi đi hết con đường này, [tôi đã được tuyển vào vị trí Software Development Engineer ở Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! Bạn có lẽ không cần phải học nhiều như tôi đã học. Nhưng dù sao, mọi thứ bạn cần ở đây. +> Ban đầu, đây chỉ là một danh sách to-do (danh sách các việc cần làm) ngắn về các chủ đề phải ôn tập của tôi, để trở thành một kỹ sư phần mềm. Nhưng rôi nó lớn dần nên như ngày nay. Sau khi đi hết con đường này, [tôi đã được tuyển vào vị trí Software Development Engineer ở Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! Bạn có lẽ không cần phải học nhiều như tôi đã học. Nhưng dù sao, mọi thứ bạn cần ở đây. > -> Những chù đề này sẽ chuẩn bị cho bạn nền tảng kiến thức vững vàng cho bất kỳ công ty phần mềm nào, bao gồm cả những gã khổng lồ như: Amazon, Facebook, Google or Microsoft. +> Những chủ đề này sẽ chuẩn bị cho bạn nền tảng kiến thức vững vàng cho bất kỳ công ty phần mềm nào, bao gồm cả những gã khổng lồ như: Amazon, Facebook, Google hay Microsoft. > > *Chúc may mắn!* @@ -31,10 +31,10 @@ Ghi chú riêng cho việc duy trì và cập nhật bản dịch tiếng Việt Đây là kế hoạch học tập trong nhiều tháng của tôi, để từ một nhà phát triển web (tự học, không có bằng cấp về Khoa Học Máy Tính - KHMT) trở thành một kỹ sư phần mềm ở Google. -![Viết code trên bảng - ánh trích từ bộ phim Silicon Valley của HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) +![Viết code trên bảng - ảnh trích từ bộ phim Silicon Valley của HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) Danh sách dài này được trích và mở rộng từ **Ghi chú huấn luyện của Google**, vậy nên đây là những gì bạn cần biết. -Một vài mục tôi thêm vào ở cuối danh sách có thể xuất hiện trong cuộc phỏng vấn hoặc hữu ích cho việc giải quyết các bài toán. Nhiều mục đến từ bài viết [Lấy được việc ở Google (Get that job at Google)](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" của Steve Yegge. +Một vài mục tôi thêm vào ở cuối danh sách có thể xuất hiện trong cuộc phỏng vấn hoặc hữu ích cho việc giải quyết các bài toán về lập trình. Nhiều mục đến từ bài viết [Lấy được việc ở Google (Get that job at Google)](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" của Steve Yegge. Tôi lược bớt những gì bạn cần từ lời khuyên của yegge. Tôi cũng chỉnh sửa lại các yêu cầu dựa trên thông tin tôi có được từ bạn bè ở Google. Danh sách này được thiết kế cho **Kỹ sư phần mềm** hoặc những ai chuyển từ phát triển web hoặc phần mềm sang _kỹ nghệ_ phần mềm (khi mà kiến thức về Khoa Học Máy Tính là bắt buộc). Nếu bạn có nhiều kinh nghiệm và muốn khẳng định nhiều năm trong đó bạn làm việc như một kỹ sư phần mềm, hãy sẵn sàng cho một buổi phòng vấn khó hơn. [Xem thêm ở đây](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). @@ -48,7 +48,7 @@ Thêm vào đó, nếu bạn muốn trở thành một kỹ sư hệ thống (Sy - [Giới thiệu?](#giới-thiệu) - [Vì sao tôi cần tài liệu này?](#vì-sao-tôi-cần-tài-liệu-này) -- [Sử dụng như thế nào?](#sử-dụng-như-thế-nào) +- [Sử dụng tài liệu này như thế nào?](#sử-dụng-tài-liệu-này-như-thế-nào) - [Đừng nghĩ rằng bạn không đủ thông minh](#đừng-nghĩ-rằng-bạn-không-đủ-thông-minh) - [Về nguồn video](#về-nguồn-video) - [Quy trình phỏng vấn & các bước chuẩn bị tổng quát](#quy-trình-phỏng-vấn--các-bước-chuẩn-bị-tổng-quát) @@ -86,7 +86,7 @@ Thêm vào đó, nếu bạn muốn trở thành một kỹ sư hệ thống (Sy - ma trận kề - danh sách kề - duyệt đồ thị: BFS, DFS -- [Thêm nhiều kiến thức nữa](#thêm-nhiều-kiến-thức-nữa) +- [Kiến thức bổ sung](#kiến-thức-bổ-sung) - [Đệ quy](#Đệ-quy) - [Quy hoạch động](#quy-hoạch-động) - [Lập trình hướng đối tượng](#lập-trình-hướng-đối-tượng) @@ -110,12 +110,12 @@ Thêm vào đó, nếu bạn muốn trở thành một kỹ sư hệ thống (Sy - [Thực hành các câu hỏi về lập trình](#thực-hành-các-câu-hỏi-về-lập-trình) - [Giải bài tập lập trình](#giải-bài-tập-lập-trình) - [Khi bạn tiến gần đến kỳ phỏng vấn](#khi-bạn-tiến-gần-đến-kỳ-phỏng-vấn) -- [Resume của bạn](#resume-của-bạn) +- [Lý lịch (Resume) của bạn](#lý-lịch-resume-của-bạn) - [Hãy nghĩ đến những thứ bạn sẽ được hỏi](#hãy-nghĩ-đến-những-thứ-bạn-sẽ-được-hỏi) -- [Chuẩn bị câu hỏi dành cho phỏng vấn viến](#chuẩn-bị-câu-hỏi-dành-cho-phỏng-vấn-viến) +- [Chuẩn bị câu hỏi dành cho phỏng vấn viên](#chuẩn-bị-câu-hỏi-dành-cho-phỏng-vấn-viên) - [Khi bạn được nhận việc](#khi-bạn-được-nhận-việc) ----------------- Everything below this point is optional ---------------- +---------------- Những mục dưới đây là tuỳ chọn ---------------- - [Sách bổ sung](#sách-bổ-sung) - [Học thêm](#học-thêm) @@ -174,7 +174,7 @@ Tất cả các cấu trúc dự liệu tôi từng sử dụng đều được Nhưng, sau khi trải qua dự án này, tôi rất tự tin rằng mình sẽ được tuyển. Đây là một dự án dài hơi, sẽ tốn của tôi hàng tháng. Nếu bạn đã quen với nhiều nội dung trong này, bạn sẽ mất ít thời gian hơn. -## Sử dụng như thế nào? +## Sử dụng tài liệu này như thế nào? > Phần này được viết lại khá nhiều để thuận tiện cho các bạn tiếp cận. Dựa theo bản gốc, tác giả có vẻ như cũng đang cố hướng dẫn cho người mới dùng git. @@ -185,7 +185,10 @@ Nếu bạn chưa biết về [git](https://git-scm.com) thì vui lòng tham kh - Tiếng Anh: [git - the simple guide](http://rogerdudler.github.io/git-guide/) - Tiếng Viết: [Sổ tay git cho người mới bát đầu](http://rogerdudler.github.io/git-guide/index.vi.html) (Việt hóa từ nội dung với link trên) -Tiếp theo, bạn cần biết cách [fork một repo trên github](https://help.github.com/articles/fork-a-repo/) (Mình không tìm được hướng dẫn tiếng Việt nào thích hợp.) +Tiếp theo, bạn cần biết cách gắp (fork) một repo trên github: + +- Tiếng Anh [Fork a repo](https://help.github.com/articles/fork-a-repo/) +- Tiếng Việt: [Cách gắp (fork) một repo trên github](https://techynovice.wordpress.com/2017/03/19/cach-gap-fork-mot-repository-tren-github/) (Việt hoá tư nội dung với link trên) Ok, bây giờ bạn có thể bắt đầu: @@ -216,7 +219,7 @@ Ok, bây giờ bạn có thể bắt đầu: ## Về nguồn video Một vài video chỉ xem được khi bạn tham gia vào các lớp học online trên Coursera, EdX, hay Lynda.com. Các lớp đó được gọi là MOOC. -Đôi khi các lớp không có sẵn, và bạn phải đợi một vài tháng đến khi chúng được mở lại, do đó bạn không thể truy cập vào video được. +Đôi khi các lớp chư mở, và bạn phải đợi một vài tháng đến khi chúng được mở lại, do đó bạn không thể truy cập vào video được. Lynda.com thì không miễn phí. Tôi sẽ rất cảm kích sự hỗ trợ của các bạn trong việc thêm các nguồn video miễn phí và luôn sẵn có, ví dụ như Youtube, để hỗ trợ nguồn video từ các khóa học online. @@ -912,7 +915,7 @@ Nếu bạn muốn biết thêm chi tiết trong chủ đề này, xem qua phầ Bạn sẽ biết thêm nhiều ứng dụng của đồ thị trong sách của Skiena (xem danh mục sách bên dưới) và các sách về phỏng vấn. -## Thêm nhiều kiến thức nữa +## Kiến thức bổ sung - ### Đệ quy - [ ] Các bài giảng của đại học Stanford về đệ quy và quay lui: @@ -1424,7 +1427,7 @@ Xem thêm: - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) -## Resume của bạn +## Lý lịch (Resume) của bạn - [10 mẹo để Resume bớt (một chút) tào lao](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) - Xem các phần về chuẩn bị Resume trong [Cracking The Coding Interview](https://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/0984782850/) và [Programming Interviews Exposed](https://www.amazon.com/Programming-Interviews-Exposed-Secrets-Landing/dp/1118261364) @@ -1448,7 +1451,7 @@ Chuẩn bị 2 đến 3 câu trả lời cho mỗi câu hỏi. Hãy chuẩn bị - Những gì bạn cho rằng mình đã có thể làm tốt hơn ở [công việc X/ dự án Y]? -## Chuẩn bị câu hỏi dành cho phỏng vấn viến +## Chuẩn bị câu hỏi dành cho phỏng vấn viên Một vài câu hỏi của tôi (Tôi có thể đã tìm hiểu trước rồi, nhưng vẫn muốn được nghe ý kiến từ góc nhìn của người phỏng): @@ -1818,7 +1821,7 @@ Bạn không bao giờ thực sự học xong! ## Đọc thêm về một số đề tài - Tôi thêm những phần này để cường hóa các kiến thức đã được trình bày ở trên, nhưng không muốn đưa chúng vào danh sách trên, vì đã quá nhiều rồi. Cũng có hơi vượt mức cần thiết. Nhưng dù sao, bạn muốn trúng tuyển mà phải không? +    Tôi thêm những phần này để củng cố các kiến thức đã được trình bày ở trên, nhưng không muốn đưa chúng vào danh sách trên, vì đã quá nhiều rồi. Cũng có hơi vượt mức cần thiết. Nhưng dù sao, bạn muốn trúng tuyển mà phải không? - [ ] **Union-Find** - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) From 6a30d759246116d07b258b7454299cbb1b4ffcaf Mon Sep 17 00:00:00 2001 From: Luong Dang Hai Date: Sun, 19 Mar 2017 19:16:59 +0200 Subject: [PATCH 049/236] Fixing typos --- translations/README-vn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-vn.md b/translations/README-vn.md index 1f4ef490b1..83c0e290e4 100644 --- a/translations/README-vn.md +++ b/translations/README-vn.md @@ -219,7 +219,7 @@ Ok, bây giờ bạn có thể bắt đầu: ## Về nguồn video Một vài video chỉ xem được khi bạn tham gia vào các lớp học online trên Coursera, EdX, hay Lynda.com. Các lớp đó được gọi là MOOC. -Đôi khi các lớp chư mở, và bạn phải đợi một vài tháng đến khi chúng được mở lại, do đó bạn không thể truy cập vào video được. +Đôi khi các lớp chưa mở, và bạn phải đợi một vài tháng đến khi chúng được mở lại, do đó bạn không thể truy cập vào video được. Lynda.com thì không miễn phí. Tôi sẽ rất cảm kích sự hỗ trợ của các bạn trong việc thêm các nguồn video miễn phí và luôn sẵn có, ví dụ như Youtube, để hỗ trợ nguồn video từ các khóa học online. From f4dd0eeb0a4607f97a537b9d1cf3b2fbf2b02d75 Mon Sep 17 00:00:00 2001 From: ZhluktenkoDmytro Date: Wed, 22 Mar 2017 12:32:23 +0200 Subject: [PATCH 050/236] why to use it paragraph translated to ukrainian --- translations/README-uk.md | 62 +++++++++++++++++---------------------- 1 file changed, 27 insertions(+), 35 deletions(-) diff --git a/translations/README-uk.md b/translations/README-uk.md index 6bb64e6bcf..4d7c9d6e3c 100644 --- a/translations/README-uk.md +++ b/translations/README-uk.md @@ -30,15 +30,15 @@ Original: [англійською](README.md) ## Table of Contents -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) +- [Що це?](#what-is-it) +- [Чому це використовувати?](#why-use-it) +- [Як це використовувати](#how-to-use-it) - [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) +- [Чи отримав я роботу?](#did-i-get-the-job) +- [Йдіть зі мною](#follow-along-with-me) +- [Не почувайте себе недостатньо розумними](#dont-feel-you-arent-smart-enough) +- [Про Google](#about-google) +- [Про відео-ресурси](#about-video-resources) - [Interview Process & General Interview Prep](#interview-process--general-interview-prep) - [Pick One Language for the Interview](#pick-one-language-for-the-interview) - [Book List](#book-list) @@ -151,23 +151,16 @@ Original: [англійською](README.md) --- -## Why use it? +## Чому це використовувати? -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. +Я слідую цьому плану, аби підготуватись до мого інтерв'ю в Google. Я займався веб-розробкою, створенням сервісів та запуском стартапів з 1997. У мене економічна освіта, не комп'ютерна. +Я досяг успіху в своїй кар'єрі, але я хочу працювати в Google. Я хочу розвиватись, досліджувати більші системи та отримати реальне розуміння комп'ютерних систем, ефективності алгоритмів та структур даних, низько-рівневих мов, і як це все працює. І якщо ви не знаєте чогось з цього списку, Google не найме вас. -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Коли я розпочинав цей проект, я не міг відрізнити стек від купи, нічого не знав про Big-O, дерева, або як розглянути граф. Якби мені тоді довелось написати алгоритм сортування, то легко можу вас запевнити - він не був би найкращим. +Всі структури даних, які я колись використовував, були вже вбудовані в мову програмування, а я навіть не знав, як вони працюють "під капотом". Мені ніколи не доводилось розбиратись з пам'яттю, окрім випадків, коли я отримував "OutOfMemoryException", тоді мені доводилось шукати вихід з ситуації. +Я використовував кілька багатовимірних масивів та тисячі звичайних масивів, проте я ніколи не створював структури даних з нуля. -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. +Але, пройшовши цей план навчання, я впевнений, що мене візьмуть на цю роботу. Це дійсно великий план. Він займе місяці, але якщо ви вже знайомі з багатьма речами з цього списку, то, очевидно, ви витратите значно менше часу. ## How to use it @@ -215,7 +208,7 @@ I'm in the queue right now. Hope to interview soon. My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) I'm on the journey, too. Follow along: - + - **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) - Twitter: [@googleyasheck](https://twitter.com/googleyasheck) - Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) @@ -352,7 +345,7 @@ If short on time: - Chapter 7 - Composite Data Types and Memory Objects - Chapter 9 - CPU Architecture - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization + - Chapter 11 - Memory Architecture and Organization If you have more time (I want this book): @@ -363,7 +356,7 @@ If you have more time (I want this book): **You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. +If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. **You can skip all the video lectures in this project**, unless you'd like a review. [Additional language-specific resources here.](programming-language-resources.md) @@ -372,7 +365,7 @@ If you read though one of these, you should have all the data structures and alg I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. @@ -444,7 +437,7 @@ OR: that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - Would rather spend time on coding problems from another book or online coding problems. @@ -473,7 +466,7 @@ I made a mobile-first website so I could review on my phone and tablet, wherever Make your own for free: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. @@ -482,7 +475,7 @@ Keep in mind I went overboard and have cards covering everything from assembly l same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in your brain. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. +An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) @@ -541,9 +534,9 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] **Learn C** - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little + - This is a short book, but it will give you a great handle on the C language and if you practice it a little you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) + - [answers to questions](https://github.com/lekkas/c-algorithms) - [ ] **How computers process a program:** - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) @@ -1161,15 +1154,15 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) --- ## System Design, Scalability, Data Handling - **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. Expect to spend quite a bit of time on this. - Considerations from Yegge: - scalability @@ -2023,4 +2016,3 @@ Sit back and enjoy. "Netflix and skill" :P - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - From 9ff34f7dc0b7e82f2805d8e7ba8bbc9349476bda Mon Sep 17 00:00:00 2001 From: ZhluktenkoDmytro Date: Wed, 22 Mar 2017 12:47:54 +0200 Subject: [PATCH 051/236] making readme.uk up to date to english readme --- translations/README-uk.md | 74 ++++++++------------------------------- 1 file changed, 14 insertions(+), 60 deletions(-) diff --git a/translations/README-uk.md b/translations/README-uk.md index 4d7c9d6e3c..a9349d78e2 100644 --- a/translations/README-uk.md +++ b/translations/README-uk.md @@ -33,11 +33,7 @@ Original: [англійською](README.md) - [Що це?](#what-is-it) - [Чому це використовувати?](#why-use-it) - [Як це використовувати](#how-to-use-it) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Чи отримав я роботу?](#did-i-get-the-job) -- [Йдіть зі мною](#follow-along-with-me) - [Не почувайте себе недостатньо розумними](#dont-feel-you-arent-smart-enough) -- [Про Google](#about-google) - [Про відео-ресурси](#about-video-resources) - [Interview Process & General Interview Prep](#interview-process--general-interview-prep) - [Pick One Language for the Interview](#pick-one-language-for-the-interview) @@ -76,6 +72,7 @@ Original: [англійською](README.md) - traversals: BFS, DFS - [Even More Knowledge](#even-more-knowledge) - [Recursion](#recursion) + - [Dynamic Programming](#dynamic-programming) - [Object-Oriented Programming](#object-oriented-programming) - [Design Patterns](#design-patterns) - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) @@ -87,6 +84,11 @@ Original: [англійською](README.md) - [Scheduling](#scheduling) - [Implement system routines](#implement-system-routines) - [String searching & manipulations](#string-searching--manipulations) + - [Tries](#tries) + - [Floating Point Numbers](#floating-point-numbers) + - [Unicode](#unicode) + - [Endianness](#endianness) +- [Networking](#networking) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) - [Final Review](#final-review) - [Coding Question Practice](#coding-question-practice) @@ -101,11 +103,7 @@ Original: [англійською](README.md) - [Additional Books](#additional-books) - [Additional Learning](#additional-learning) - - [Dynamic Programming](#dynamic-programming) - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - [Emacs and vi(m)](#emacs-and-vim) - [Unix command line tools](#unix-command-line-tools) - [Information theory](#information-theory) @@ -113,18 +111,17 @@ Original: [англійською](README.md) - [Entropy](#entropy) - [Cryptography](#cryptography) - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - [Computer Security](#computer-security) - [Garbage collection](#garbage-collection) - [Parallel Programming](#parallel-programming) - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [A*](#a) - [Fast Fourier Transform](#fast-fourier-transform) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - [Balanced search trees](#balanced-search-trees) - AVL trees @@ -144,7 +141,6 @@ Original: [англійською](README.md) - [Geometry, Convex hull](#geometry-convex-hull) - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - - [Go](#go) - [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) @@ -162,16 +158,16 @@ Original: [англійською](README.md) Але, пройшовши цей план навчання, я впевнений, що мене візьмуть на цю роботу. Це дійсно великий план. Він займе місяці, але якщо ви вже знайомі з багатьма речами з цього списку, то, очевидно, ви витратите значно менше часу. -## How to use it +## Як це використовувати -Everything below is an outline, and you should tackle the items in order from top to bottom. +Весь текст нижче - це список, а вам потрібно пройти всі його елементи зверху вниз. -I'm using Github's special markdown flavor, including tasks lists to check progress. +Я використовую спеціальну Github розмітку, щоб відслідковувати свій прогрес. -**Create a new branch so you can check items like this, just put an x in the brackets: [x]** +**Створіть нову гілку, аби ви могли теж відмічати зроблені задачі, поміщаючи x в квадратні дужки: [x]** - Fork a branch and follow the commands below + Форкніть собі гілку та введіть команди нижче `git checkout -b progress` @@ -179,7 +175,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git fetch --all` - Mark all boxes with X after you completed your changes + Відмітьте всі елементи X після того, як завершите свої зміни `git add . ` @@ -189,55 +185,13 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git push --force ` -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) - -## Get in a Googley Mood - -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. - -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## Did I Get the Job? - -I'm in the queue right now. Hope to interview soon. - - Thanks for the referral, JP. - -## Follow Along with Me - -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -I'm on the journey, too. Follow along: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) +[Більше про Github розмітку](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) ## Don't feel you aren't smart enough - Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## About Google - -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) ## About Video Resources From e8966eb71958dadde2fcbcadf3845a8a260deecc Mon Sep 17 00:00:00 2001 From: ZhluktenkoDmytro Date: Wed, 22 Mar 2017 12:55:52 +0200 Subject: [PATCH 052/236] check if it works on github --- translations/README-uk.md | 305 +++++++++++++++++--------------------- 1 file changed, 136 insertions(+), 169 deletions(-) diff --git a/translations/README-uk.md b/translations/README-uk.md index a9349d78e2..0b7fd19f4b 100644 --- a/translations/README-uk.md +++ b/translations/README-uk.md @@ -28,9 +28,9 @@ Original: [англійською](README.md) --- -## Table of Contents +## Таблиця контенту -- [Що це?](#what-is-it) +- [Що це?](#що-це?) - [Чому це використовувати?](#why-use-it) - [Як це використовувати](#how-to-use-it) - [Не почувайте себе недостатньо розумними](#dont-feel-you-arent-smart-enough) @@ -187,12 +187,11 @@ Original: [англійською](README.md) [Більше про Github розмітку](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. +## Не почувайте себе недостатньо розумними +- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) - ## About Video Resources Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. @@ -204,42 +203,25 @@ Sometimes the classes are not in session so you have to wait a couple of months, ## Interview Process & General Interview Prep -- [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Prep Courses: +- [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) +- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) +- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) +- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) +- [ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) +- [ ] How to Get a Job at the Big 4: + - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + +- [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. ## Pick One Language for the Interview -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: +You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: - C++ - Java @@ -255,7 +237,6 @@ You need to be very comfortable in the language and be knowledgeable. Read more about choices: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview [See language resources here](programming-language-resources.md) @@ -269,19 +250,15 @@ This is a shorter list than what I used. This is abbreviated to save you time. - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - answers in C++ and Java - - recommended in Google candidate coaching - this is a good warm-up for Cracking the Coding Interview - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". If you have tons of extra time: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. +- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) ### Computer Architecture @@ -344,7 +321,7 @@ OR: - by Goodrich, Tamassia, Goldwasser - I loved this book. It covered everything and more. - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ + - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ ### Optional Books @@ -367,12 +344,6 @@ OR: - algorithm catalog: - this is the real reason you buy this book. - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - Can rent it on kindle - Half.com is a great resource for textbooks at good prices. - Answers: @@ -382,7 +353,6 @@ OR: - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." - Half.com is a great resource for textbooks at good prices. - aka CLR, sometimes CLRS, because Stein was late to the game @@ -408,7 +378,7 @@ through my notes and making flashcards so I could review. Read please so you won't make my mistakes: -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) +[Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) ### 2. Use Flashcards @@ -423,7 +393,7 @@ Make your own for free: - [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. +Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. **Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in @@ -446,8 +416,7 @@ There are a lot of distractions that can take up valuable time. Focus and concen ## What you won't see covered -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: +These are prevalent technologies but not part of this study plan: - SQL - Javascript @@ -657,7 +626,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - binary search using recursion - ### Bitwise operations - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) + - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - [ ] Good intro: @@ -838,17 +807,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) +As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) ## Graphs Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: +- Notes: + - There are 4 basic ways to represent a graph in memory: - objects and pointers - - matrix + - adjacency matrix - adjacency list + - adjacency map - Familiarize yourself with each representation and its pros & cons - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - When asked a question, look for a graph-based solution first, then move on if none. @@ -879,13 +850,6 @@ Graphs can be used to represent many problems in computer science, so this secti - Full Coursera Course: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - - I'll implement: - [ ] DFS with adjacency list (recursive) - [ ] DFS with adjacency list (iterative with stack) @@ -917,6 +881,31 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) +- ### Dynamic Programming + - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. + - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - [ ] Videos: + - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - [ ] List of individual DP problems (each is short): + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + - [ ] Yale Lecture notes: + - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) + - [ ] Coursera: + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + - ### Object-Oriented Programming - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): @@ -924,11 +913,10 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] SOLID OOP Principles: - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) @@ -966,6 +954,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) + - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) + - ### Combinatorics (n choose k) & Probability - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) @@ -1026,6 +1016,9 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - livelock - CPU activity, interrupts, context switching - Modern concurrency constructs with multicore processors + - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) + - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) + - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. @@ -1042,11 +1035,10 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - ### Papers - - These are Google papers and well-known papers. - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - replaced by Colossus in 2012 - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) @@ -1054,7 +1046,9 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) + - The Dynamo paper kicked off the NoSQL revolution + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf) - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) @@ -1111,14 +1105,62 @@ You'll get more graph practice in Skiena's book (see Books section below) and th If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) ---- +- ### Tries + - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits + to track the path. + - I read through code, but will not implement. + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + +- ### Floating Point Numbers + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + +- ### Unicode + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) + +- ### Endianness + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - Very technical talk for kernel devs. Don't worry if most is over your head. + - The first half is enough. + +- ### Networking + - **if you have networking experience or want to be a systems engineer, expect questions** + - otherwise, this is just good to know + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) + - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) + - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) + - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + - [ ] Sockets: + - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) + - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## System Design, Scalability, Data Handling - **You can expect system design questions if you have 4+ years of experience.** - Scalability and System Design are very large topics with many topics and resources, since there is a lot to consider when designing a software/hardware system that can scale. Expect to spend quite a bit of time on this. -- Considerations from Yegge: +- Considerations: - scalability - Distill large data sets to single values - Transform one data set to another @@ -1207,7 +1249,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - For even more, see "Mining Massive Datasets" video series in the Video Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - flow: 1. Understand the problem and scope: - define the use cases, with interviewer's help @@ -1241,7 +1283,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th ## Final Review - This section will have shorter videos that can you watch pretty quickly to review most of the important concepts. + This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. It's nice if you want a refresher often. - [ ] Series of 2-3 minutes short subject videos (23 videos) @@ -1295,8 +1337,6 @@ There is a great intro for methodical, communicative problem solving in an inter interview books, too, but I found this outstanding: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. @@ -1327,6 +1367,10 @@ Take coding challenges every day, as many as you can. - [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) - [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) +Coding Interview Question Videos: +- [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) +- [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) + Challenge sites: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) @@ -1337,9 +1381,11 @@ Challenge sites: - [InterviewCake](https://www.interviewcake.com/) - [Geeks for Geeks](http://www.geeksforgeeks.org/) - [InterviewBit](https://www.interviewbit.com/invite/icjf) +- [Sphere Online Judge (spoj)](http://www.spoj.com/) -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) +Mock Interviews: +- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) +- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) ## Once you're closer to the interview @@ -1350,7 +1396,6 @@ Maybe: ## Your Resume -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) - See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed @@ -1363,7 +1408,7 @@ Have a story, not just data, about something you accomplished. - What's a tough problem you've solved? - Biggest challenges faced? - Best/worst designs seen? -- Ideas for improving an existing Google product. +- Ideas for improving an existing product. - How do you work best, as an individual and as part of a team? - Which of your skills or experiences would be assets in the role and why? - What did you most enjoy at [job x / project y]? @@ -1390,8 +1435,6 @@ Have a story, not just data, about something you accomplished. Congratulations! -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - Keep learning. You're never really done. @@ -1401,7 +1444,7 @@ You're never really done. ***************************************************************************************************** ***************************************************************************************************** - Everything below this point is optional. These are my recommendations, not Google's. + Everything below this point is optional. By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for any software engineering job. You'll be a much more well-rounded software engineer. @@ -1422,36 +1465,12 @@ You're never really done. - [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - aka the "Gang Of Four" book, or GOF - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) ## Additional Learning -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) +These topics will likely not come up in an interview, but I added them to help you become a well-rounded +software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. - ### Compilers - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) @@ -1459,23 +1478,8 @@ You're never really done. - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - - ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor + - Familiarize yourself with a unix-based code editor - vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) @@ -1496,7 +1500,7 @@ You're never really done. - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. + - I filled in the list below from good tools. - [ ] bash - [ ] cat - [ ] grep @@ -1549,20 +1553,6 @@ You're never really done. - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - - ### Computer Security - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) @@ -1611,6 +1601,11 @@ You're never really done. - [ ] [MessagePack](http://msgpack.org/index.html) - [ ] [Avro](https://avro.apache.org/) +- ### A* + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + - ### Fast Fourier Transform - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) @@ -1640,24 +1635,6 @@ You're never really done. - ### Augmented Data Structures - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - ### Balanced search trees - Know least one type of balanced binary tree (and know how it's implemented): - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. @@ -1820,16 +1797,6 @@ You're never really done. - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - Data School: http://www.dataschool.io/ -- ### Go - - [ ] Videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - -- ## Additional Detail on Some Subjects From a4ddbb3f80df6789e2f24554b10d58b62476743a Mon Sep 17 00:00:00 2001 From: ZhluktenkoDmytro Date: Wed, 22 Mar 2017 13:01:12 +0200 Subject: [PATCH 053/236] update linking --- translations/README-uk.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-uk.md b/translations/README-uk.md index 0b7fd19f4b..44d9fe6677 100644 --- a/translations/README-uk.md +++ b/translations/README-uk.md @@ -30,7 +30,7 @@ Original: [англійською](README.md) ## Таблиця контенту -- [Що це?](#що-це?) +- [Що це?](#Що-це?) - [Чому це використовувати?](#why-use-it) - [Як це використовувати](#how-to-use-it) - [Не почувайте себе недостатньо розумними](#dont-feel-you-arent-smart-enough) From 638e010874738572d63832c4176047d645bcc533 Mon Sep 17 00:00:00 2001 From: ZhluktenkoDmytro Date: Wed, 22 Mar 2017 13:02:01 +0200 Subject: [PATCH 054/236] update linking[2] --- translations/README-uk.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/README-uk.md b/translations/README-uk.md index 44d9fe6677..d4ac163796 100644 --- a/translations/README-uk.md +++ b/translations/README-uk.md @@ -30,10 +30,10 @@ Original: [англійською](README.md) ## Таблиця контенту -- [Що це?](#Що-це?) -- [Чому це використовувати?](#why-use-it) -- [Як це використовувати](#how-to-use-it) -- [Не почувайте себе недостатньо розумними](#dont-feel-you-arent-smart-enough) +- [Що це?](#Що-це) +- [Чому це використовувати?](#Чому-це-використовувати) +- [Як це використовувати](#Як-це-використовувати) +- [Не почувайтесь недостатньо розумними](#Не-почувайтесь-недостатньо-розумними) - [Про відео-ресурси](#about-video-resources) - [Interview Process & General Interview Prep](#interview-process--general-interview-prep) - [Pick One Language for the Interview](#pick-one-language-for-the-interview) @@ -187,7 +187,7 @@ Original: [англійською](README.md) [Більше про Github розмітку](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Не почувайте себе недостатньо розумними +## Не почувайтесь недостатньо розумними - Successful software engineers are smart, but many have an insecurity that they aren't smart enough. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) From 3c4b7fab13ab19552d0aa11bd51aaf207caaae36 Mon Sep 17 00:00:00 2001 From: Luong Dang Hai Date: Fri, 24 Mar 2017 12:16:08 +0200 Subject: [PATCH 055/236] Update Contributor name to Vietnamese version --- translations/README-vn.md | 1 + 1 file changed, 1 insertion(+) diff --git a/translations/README-vn.md b/translations/README-vn.md index a1fcca9003..154525e539 100644 --- a/translations/README-vn.md +++ b/translations/README-vn.md @@ -10,6 +10,7 @@ Tác giả gốc: [John Washam](https://github.com/jwasham) * [Võ Tường Thọ](https://github.com/thovo) - [@thovo](https://twitter.com/tho_vo) * [Lê Tấn Đăng Khoa](https://github.com/dangkhoasdc) - [@dksdc](https://twitter.com/dksdc) * [Trương Đức Duy](https://github.com/duytruong) - [@dauruy](https://twitter.com/dauruy) +* [Lương Đăng Hải](https://github.com/jarvisluong) - [@jarvisluong](https://twitter.com/jarvisluong) Ghi chú riêng cho việc duy trì và cập nhật bản dịch tiếng Việt: From aaeb5f11af24c8be1ec549464a2aa849663fda8c Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 27 Mar 2017 11:01:39 -0300 Subject: [PATCH 056/236] updated translation --- translations/README-ptbr.md | 43 ++++++++++++++++++------------------- 1 file changed, 21 insertions(+), 22 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index e17002aa35..b24a75712b 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -147,8 +147,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est Estou seguindo esse plano para me preparar para a minha entrevista com a Google. Eu estive construindo a web, construindo serviços, e lançando startups desde 1997. Eu sou graduado em economia, não em ciência da computação. Eu tenho sido muito bem sucedido em minha carreira, mas eu quero trabalhar na Google. Quero progredir para sistemas maiores e realmente entender sistemas de computação, eficiência algorítmica, desempenho de estrutura de dados, linguagens de baixo nível, e como tudo funciona. E se você não sabe nada disso, a Google não vai te contratar. -Quando eu comecei esse projeto, I didn't know a stack from a heap, didn't know Big-O anything, nada sobre árvores, or how to -traverse a graph. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. +Quando eu comecei esse projeto, eu não sabia diferenciar memória dinâmica de memória estática, não sabia notação Big-O, árvores, ou como percorrer um gráfico. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por baixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. Mas depois de passar por esse plano de estudo sou confiante de que serei contratado. É um longo plano. Vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. @@ -274,20 +273,20 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, ## Escolha Uma Linguagem para a Entrevista -Eu escrevi esse pequeno artigo sobre isso: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) (Importante: Escolha Uma Linguage para a Entrevista da Google) +Eu escrevi um pequeno artigo sobre esse tema: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) (Importante: Escolha Uma Linguage para a Entrevista da Google) -Você pode escolher uma linguagem com a qual você esteja confortável para fazer a parte de programar (parte prática) da entrevista, mas para a Google, essas são ótimas opções: +Você pode escolher uma linguagem com a qual você esteja confortável para fazer a parte de programação (parte prática) da entrevista, mas para a Google, essas são ótimas opções: - C++ - Java - Python -You could also use these, but read around first. There may be caveats: +Você também poderia usar essas, mas dê uma lida por aí antes. Podem haver avisos: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable[1]. [1]*translator note > clarify with author: "knowledgeable about the chosen language or knowledgeable in general? (about programming in general)* +Você precisa estar confortável com a linguagem e ser bem informado. [1]*translator note > clarify with author: "knowledgeable about the chosen language or knowledgeable in general? (sobre programação em geral)* Leia mais sobre as escolhas: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ @@ -296,27 +295,27 @@ Leia mais sobre as escolhas: [Veja recursos de linguagens aqui](programming-language-resources.md) -Você vai ver aprendizado de C, C++ e Python incluído abaixo, porque eu estou aprendendo. Tem alguns livros envolvidos, veja no final. +Você vai ver aprendizado de C, C++ e Python incluído abaixo, porque é o que estou aprendendo. Tem alguns livros envolvidos, veja no final. ## Lista de Livros -This is a shorter list than what I used. This is abbreviated to save you time. +Essa é uma lista menor comparada à que eu usei. Está abreviado para economizar seu tempo. ### Preparação para a Entrevista - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) (Entrevistas de Programação Expostas: Segredos para Conseguir Seu Próximo Emprego, 2ª Edição) - respostas em C++ e Java - - recommended in Google candidate coaching - - this is a good warm-up for Cracking the Coding Interview - - não é muito difícil, a maioria dos problemas poderão ser mais fáceis dos que você verá em uma entrevista (de acordo com o que li) -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - recomendado no treinamento de candidatos da Google + - esse é um bom aquecimento para o Cracking the Coding Interview (Decifrando a Entrevista de Programação) + - não é muito difícil, a maioria dos problemas poderão ser mais fáceis que aqueles que você verá em uma entrevista (de acordo com o que li) +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) (Decifrando a Entrevista de Programação). - respostas em Java - recomendado no [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) (site de Carreiras da Google) - - If you see people reference "The Google Resume", it was a livro replaced by "Cracking the Coding Interview". + - Se você ver pessoas fazendo referência à "The Google Resume" (O Currículo da Google), foi um livro substituído por "Cracking the Coding Interview." (Decifrando a Entrevista de Programação). Se você tem muito tempo sobrando: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programaçã0) - todo código em C++, muito bom se você está pensando em usar C++ na sua entrevista - um bom livro sobre resolução de problemas em geral. @@ -324,10 +323,10 @@ Se você tem muito tempo sobrando: Se estiver com pouco tempo: -- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) +- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) (Escreva um Excelente Código: Volume 1: Compreendendo a Máquina) - O livro foi publicado em 2004, e está meio vencido, mas é um recurso maravilhoso para compreender um computador resumidamente. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: + - O autor inventou HLA (High-level Assembly ou, no português, Assembly de alto nível), então considere as menções e exemplos em HLA com cautela. Não é usado amplamente, mas contém exemplos decentes de como o assembly funciona. + - Esses capítulos valem a pena serem lidos para lhe dar uma boa base: - Chapter 2 - Numeric Representation (Capítulo 2 - Representação Numérica) - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation @@ -340,17 +339,17 @@ Se estiver com pouco tempo: Se você tem mais tempo (eu quero esse livro): -- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment +- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) (Arquitetura de Computador, Quinta Edição: Uma Abordagem Quantitativa) + - Se quiser uma versão mais rica e atualizada (2011), mas com um tratamento mais longo ### Específico de Linguagem **Você precisa escolher uma linguagem para a entrevista (veja acima).** Aqui estão minhas recomendações por linguagem. Eu não conheço recursos para todas as linguagens. Contribuições de recursos aqui são bem-vindas. -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the vídeo lectures in this project**, unless you'd like a review. +Se você ler um desses, você deverá ter todo conhecimento de estrutura de dados e algoritmos que precisará para começar a resolver problemas de programação. +**Você pode pular todas as aulas em vídeo nesse projeto**, a não ser que você queira uma revisão. -[Additional language-specific resources here.](programming-language-resources.md) +[Recursos adicionais específico a cada linguagem aqui.](programming-language-resources.md) ### C++ From 0c37b9b3fe4e4df3b197c7549cec3e76cd9bbe3d Mon Sep 17 00:00:00 2001 From: cybosoft Date: Thu, 30 Mar 2017 13:32:47 +0530 Subject: [PATCH 057/236] Making Hindi a bit more readable --- README-hi.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-hi.md b/README-hi.md index d0591817ce..855eeebbdc 100644 --- a/README-hi.md +++ b/README-hi.md @@ -2,7 +2,7 @@ ## यह क्या है? -यह मेरा वेब डेवलपर से गूगल सॉफ्टवेर इंजिनियर बनाने की अध्ययन योजना हैं. +यह मेरी एक वेब डेवलपर ( खुद से सीखा हुआ , बिना किसी कंप्यूटर साइंस डिग्री के ) से एक बड़ी कंपनी के लिए सॉफ्टवेयर इंजीनियर बनने की कई महीनो की योजना है । ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) From e6481264b6df59d84de10912857981bed2364c77 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 30 Mar 2017 11:54:52 -0300 Subject: [PATCH 058/236] Updated translation. Closes #7 --- translations/README-ptbr.md | 116 ++++++++++++++++++------------------ 1 file changed, 58 insertions(+), 58 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b24a75712b..b0c22f6572 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -353,82 +353,82 @@ Se você ler um desses, você deverá ter todo conhecimento de estrutura de dado ### C++ -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. +Eu ainda não li esses dois, mas eles são muito bem avaliados e escritos por Sedgewick. Ele é ótimo. -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) (Algoritmos em C++, Partes 1-4: Fundamentos, Estrutura de Dados, Ordenação, Busca). +- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) (Algoritmos em C++ Parte 5: Algoritmos de Gráfico) -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. +Se você tiver uma recomendação melhor para C++, por favor me informe. Busco recursos completos. ### Java -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - vídeos with book content (and Sedgewick!): - - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) +- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) (Algoritmos (Sedgewick e Wayne) + - vídeos com conteúdo do livro (e Sedgewick!): + - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) (Algoritmos I) + - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) (Algoritmos II) -OR: +OU: -- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This livro covers the same topics. +- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) (Estrutura de Dados e Algoritmos em Java) + - por Goodrich, Tamassia, Goldwasser + - usado como texo opcional para o curso introdutório de Ciência da Computação na Universidade da Califórnia em Berkeley + - veja o meu resumo sobre a versão em Python abaixo. Esse livro abrange os mesmos tópicos. ### Python -- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this livro. It covered everything and more. - - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ +- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) (Estrutura de Dados e Algoritmos em Python) + - por Goodrich, Tamassia, Goldwasser + - Eu adorei esse livro. Ele cobriu tudo e mais. + - Código pythonico. + - meu brilhante resumo: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ ### Livros Opcionais -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - -- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This livro has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this livro. - - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other livro it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The livro also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the livro, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: - - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) +**Algumas pessoas recomendam esses, mas eu acho que está além do necessário, a não ser que você tenha muitos anos de experiência em engenharia de software e está esperando uma entrevista muito mais difícil:** + +- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) (Manual de Design de Algoritmo) + - Como uma revisão e reconhecimento de problema + - A parte de catálogos de algoritmos está muito além da margem de dificuldade que você terá numa entrevista. + - Esse livro tem 2 partes: + - livro de aula sobre estrutura de dados e algoritmos + - prós: + - é uma boa revisão assim como qualquer texto de algoritmos seria + - boas estórias da experiência dele resolvendo problemas na indústria e na universidade + - exemplo de código em C + - contras: + - pode ser tão denso e impenetrável quanto CLRS (Introdução a Algoritmos), e em alguns casos, CLRS pode ser uma alternativa melhor para alguns temas + - capítulos 7, 8 e 9 podem ser sofridos para acompanhar, já que alguns itens não são bem explicados ou requerem mais cérebro do que eu tenho + - não me entenda mal: Eu gosto de Skiena, do estilo de ensino dele, e maneirismos, mas pode não ser um material do tipo da universidade Stony Brook. + - catálogo de algoritmos + - essa é a verdadeira razão para você comprar esse livro. + - prestes a chegar nessa parte. Vou atualizar aqui assim que eu terminar de ler essa parte. + - Citando Yegge: "Mais que qualquer outro livro, esse me ajudou a compreender o quão surpreendentemente comum + (e importante) os problemas de gráficos são – eles devem ser parte do kit de ferramentas de cada programador profissional. Esse livro também + cobre o básico de estrutura de dados e algoritmos de ordenação, que é um ótimo bônus. Mas a mina de ouro é a segunda metade + do livro, a qual é um tipo de enciclopédia contendo páginas individuais (1-pagers) sobre zilhões de problemas úteis e várias formas de resolver + eles, sem muitos detalhes. Quase toda página individual (1-pager) contém uma foto simples, facilitando a memorização. Essa é uma + excelente maneira de aprender a identificar centenas de tipos de problemas." + - Pode alugar no kindle + - Half.com é um ótimo recurso para livros com bons preços.. + - Respostas: + - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) (Soluções) + - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) (Soluções) - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) -- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this livro will only have limited value. This livro is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that livro." - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game +- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) (Introdução à Algoritmos) + - **Importante:** Ler esse livro só terá um valor limitado. Esse livro é ótimo para revisão de algoritmos e estrutura de dados, mas não irá te ensinar a escrever um bom código. Você deve ser capaz de programar uma solução decente eficientemente. + - Citando Yegge: "Mas se você quer chegar nas suas entrevistas *preparado*, então considere adiar sua candidatura até que você tenha terminado de ler o livro." + - Half.com é um ótimo recurso para livros com bons preços.. + - também conhecido como CLR, às vezes CLRS, porque Stein estava atrasado para o negócio -- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. +- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) (Pérolas de Programação) + - Os primeiros capítulos apresentam solução inteligentes para problemas de programação (alguns bem velhos usando suporte magnético) mas + isso é só uma introdução. Esse é um guia sobre design e arquitetura de programa, parecido com Code Complete, mas muito mais curto. -- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine livro, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another livro or online coding problems. +- ~~"Algorithms and Programming: Problems and Solutions" by Shen ("Algoritmos e Programação: Problemas e Soluções" por Shen)~~ + - Um bom livro, mas depois de trabalhar nos problemas em várias páginas eu fiquei frustrado com o Pascal, loops do...while, arrays de 1 índice (index), e resultados de satisfação pós-condição pouco claros. + - Prefiro gastar tempo em problemas de programação de outro livro oi problemas de programação online. ## Antes de começar From ff9c579a92ebae8b92c28bfe65689cc52f661911 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 30 Mar 2017 12:08:43 -0300 Subject: [PATCH 059/236] fixed typos --- translations/README-ptbr.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b0c22f6572..65456cf177 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -315,7 +315,7 @@ Essa é uma lista menor comparada à que eu usei. Está abreviado para economiza Se você tem muito tempo sobrando: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programaçã0) +- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programação) - todo código em C++, muito bom se você está pensando em usar C++ na sua entrevista - um bom livro sobre resolução de problemas em geral. @@ -349,7 +349,7 @@ Se você tem mais tempo (eu quero esse livro): Se você ler um desses, você deverá ter todo conhecimento de estrutura de dados e algoritmos que precisará para começar a resolver problemas de programação. **Você pode pular todas as aulas em vídeo nesse projeto**, a não ser que você queira uma revisão. -[Recursos adicionais específico a cada linguagem aqui.](programming-language-resources.md) +[Recursos adicionais específicos a cada linguagem aqui.](programming-language-resources.md) ### C++ @@ -362,7 +362,7 @@ Se você tiver uma recomendação melhor para C++, por favor me informe. Busco r ### Java -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) (Algoritmos (Sedgewick e Wayne) +- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) (Algoritmos (Sedgewick e Wayne)) - vídeos com conteúdo do livro (e Sedgewick!): - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) (Algoritmos I) - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) (Algoritmos II) @@ -385,7 +385,7 @@ OU: ### Livros Opcionais -**Algumas pessoas recomendam esses, mas eu acho que está além do necessário, a não ser que você tenha muitos anos de experiência em engenharia de software e está esperando uma entrevista muito mais difícil:** +**Algumas pessoas recomendam esses, mas eu acho que está além do necessário, a não ser que você tenha muitos anos de experiência em engenharia de software e está esperando por uma entrevista muito mais difícil:** - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) (Manual de Design de Algoritmo) - Como uma revisão e reconhecimento de problema @@ -435,7 +435,7 @@ OU: Essa lista cresceu por longos meses, e sim, ela meio que saiu do controle. -Aqui estão alguns erros que eu cometi para que você tenha uma melhor experiência. +Aqui estão alguns erros que eu cometi para que você tenha uma experiência melhor. ### 1. Você não se lembrará disso tudo From bf379b609a7a8969fe5a51d1b88aef2c70fb8ddd Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 30 Mar 2017 12:10:14 -0300 Subject: [PATCH 060/236] fixed typos --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 65456cf177..2798c800c1 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -410,7 +410,7 @@ OU: eles, sem muitos detalhes. Quase toda página individual (1-pager) contém uma foto simples, facilitando a memorização. Essa é uma excelente maneira de aprender a identificar centenas de tipos de problemas." - Pode alugar no kindle - - Half.com é um ótimo recurso para livros com bons preços.. + - Half.com é um ótimo recurso para livros com bons preços. - Respostas: - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) (Soluções) - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) (Soluções) @@ -419,7 +419,7 @@ OU: - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) (Introdução à Algoritmos) - **Importante:** Ler esse livro só terá um valor limitado. Esse livro é ótimo para revisão de algoritmos e estrutura de dados, mas não irá te ensinar a escrever um bom código. Você deve ser capaz de programar uma solução decente eficientemente. - Citando Yegge: "Mas se você quer chegar nas suas entrevistas *preparado*, então considere adiar sua candidatura até que você tenha terminado de ler o livro." - - Half.com é um ótimo recurso para livros com bons preços.. + - Half.com é um ótimo recurso para livros com bons preços. - também conhecido como CLR, às vezes CLRS, porque Stein estava atrasado para o negócio - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) (Pérolas de Programação) From 70589b720fe87c03ddfa11c3e6d691f36e344486 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 30 Mar 2017 12:26:13 -0300 Subject: [PATCH 061/236] initiating translation of new section --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 2798c800c1..4500cabf94 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -36,7 +36,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Lista de Livros](#lista-de-livros) - [Antes de começar](#antes-de-começar) - [What you Won't See Covered](#what-you-wont-see-covered) -- [Prerequisite Knowledge](#prerequisite-knowledge) +- [Conhecimento Prévio](#conhecimento-prévio) - [The Daily Plan](#the-daily-plan) - [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) - [Data Structures](#data-structures) @@ -515,7 +515,7 @@ You don't need to memorize the guts of every algorithm. Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. -## Prerequisite Knowledge +## Conhecimento Prévio - [ ] **Learn C** - C is everywhere. You'll see examples in livros, lectures, vídeos, *everywhere* while you're studying. From db40508dd96a4a386731a599e50ee15ba88f9299 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 30 Mar 2017 12:34:12 -0300 Subject: [PATCH 062/236] updated translation --- translations/README-ptbr.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 4500cabf94..cf7f350451 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -35,10 +35,10 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Escolha Uma Linguagem para a Entrevista](#escolha-uma-linguagem-para-a-entrevista) - [Lista de Livros](#lista-de-livros) - [Antes de começar](#antes-de-começar) -- [What you Won't See Covered](#what-you-wont-see-covered) -- [Conhecimento Prévio](#conhecimento-prévio) +- [O que você não verá](#o-que-você-não-verá) - [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) +- [Conhecimento Prévio](#conhecimento-prévio) +- [Complexidade Algorítmica / Big-O / Análise assintótica](#complexidade-algorítmica--big-o--análise-assintótica) - [Data Structures](#data-structures) - [Arrays](#arrays) - [Linked Lists](#linked-lists) @@ -528,7 +528,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [How does CPU execute program (vídeo)](https://www.youtube.com/watch?v=42KTvGYQYnA) - [ ] [Machine Code Instructions (vídeo)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) -## Algorithmic complexity / Big-O / Asymptotic analysis +## Complexidade Algorítmica / Big-O / Análise assintótica - nothing to implement - [ ] [Harvard CS50 - Asymptotic Notation (vídeo)](https://www.youtube.com/watch?v=iOq5kSKqeR4) - [ ] [Big O Notations (general quick tutorial) (vídeo)](https://www.youtube.com/watch?v=V6mKVRU1evU) From bf5159efd90b2b8abebfd94cab16d6adfb189d81 Mon Sep 17 00:00:00 2001 From: John Washam Date: Thu, 30 Mar 2017 21:05:04 -0700 Subject: [PATCH 063/236] Added Refdash. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 38d1039120..8d04d8c06a 100644 --- a/README.md +++ b/README.md @@ -1408,6 +1408,7 @@ Challenge sites: Mock Interviews: - [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) +- [Refdash: Mock interviews](https://refdash.com/) ## Once you're closer to the interview From 827dd67a77c07a9e0341555b002b3fb7e6c06f48 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 09:47:12 -0300 Subject: [PATCH 064/236] finished translation of 2 sections, close #8 --- translations/README-ptbr.md | 64 ++++++++++++++++++------------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index cf7f350451..e6abf5f373 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -452,13 +452,13 @@ Cada cartão tem formatação diferente. Eu fiz um website focado em mobile para que eu pudesse rever no meu celular, tablet, onde quer que eu esteja. -Faça o seu próprio grátis: +Faça o seu próprio, grátis: - [Repositório de flashcards](https://github.com/jwasham/computer-science-flash-cards) - [Minha base de dados de flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados de flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é exigido pelo Google.  +Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é exigido pela Google.  **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. @@ -469,9 +469,9 @@ Meu banco de dados de flashcards em formato Anki: https://ankiweb.net/shared/inf ### 3. Reveja, Reveja e Reveja -Eu mantenho um conjunto de anotações em ASCII, OSI stack, Big-O notations, e muito mais. Eu os estudo quando tenho algum tempo livre. +Eu mantenho um conjunto de anotações em ASCII, OSI stack, Notações Big-O, e muito mais. Eu os estudo quando tenho algum tempo livre. -Faça uma pausa dos problemas de programação por meia hora e passe por seus flashcards. +Faça uma pausa durante os problemas de programação por meia hora e passe por seus flashcards. ### 4. Foco @@ -517,40 +517,40 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Conhecimento Prévio -- [ ] **Learn C** - - C is everywhere. You'll see examples in livros, lectures, vídeos, *everywhere* while you're studying. - - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short livro, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) +- [ ] **Aprenda C** + - C está em todo lugar. Você vai ver exemplos em livros, aulas, vídeos, em todo lugar enquanto você estiver estudando. + - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) (Linguagem de Programação C, Vol 2) + - Esse é um livro curto, mas vai te ajudar a ter um ótimo domínio da linguagem C e se você praticar um pouco + você irá se tornar proficiente rapidamente. Entender C te ajuda a entender como os programas e a memória funcionam. + - [answers to questions](https://github.com/lekkas/c-algorithms) (respostas para as questões) -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (vídeo)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (vídeo)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) +- [ ] **Como computadores processam um programa:** + - [ ] [How does CPU execute program (vídeo)](https://www.youtube.com/watch?v=42KTvGYQYnA) (Como uma CPU executa um programa (vídeo)) + - [ ] [Machine Code Instructions (vídeo)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) (Instruções de Código de Máquina (vídeo)) ## Complexidade Algorítmica / Big-O / Análise assintótica -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (vídeo)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (vídeo)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (vídeo)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- nada para implementar +- [ ] [Harvard CS50 - Asymptotic Notation (vídeo)](https://www.youtube.com/watch?v=iOq5kSKqeR4) (Harvard CS50 - Notação Assintótica (vídeo)) +- [ ] [Big O Notations (general quick tutorial) (vídeo)](https://www.youtube.com/watch?v=V6mKVRU1evU) (Notações Big-O (rápido tutorial geral) (vídeo)) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (vídeo)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Notação Big-O (e Omega e Theta) - melhor explicação matemática (vídeo)) - [ ] Skiena: - [vídeo](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (vídeo)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (vídeo)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (vídeo)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) -- [ ] [Cheat sheet](http://bigocheatsheet.com/) - - - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics vídeos to get the background knowledge. +- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) (Uma Introdução Gentil a Análise de Complexidade Algoritmica) +- [ ] [Orders of Growth (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/59) (Ordens de Crescimento (vídeo)) +- [ ] [Asymptotics (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/61) (Assintóticas (vídeo)) +- [ ] [UC Berkeley Big O (vídeo)](https://youtu.be/VIS4YDpuP98) (Big-O - Universidade da Califórnia em Berkeley (vídeo)) +- [ ] [UC Berkeley Big Omega (vídeo)](https://youtu.be/ca3e7UVmeUc) (Grande Omega - Universidade da Califórnia em Berkeley (vídeo)) +- [ ] [Amortized Analysis (vídeo)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Análise Amortizada (vídeo)) +- [ ] [Illustrating "Big O" (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/63) (Ilustrando "Big-O" (vídeo)) +- [ ] TopCoder (inclui relações de recorrência e teorema mestre): + - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) (Complexidade Computacional: Seção 1) + - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) (Complexidade Computacional: Seção 2) +- [ ] [Cheat sheet](http://bigocheatsheet.com/) (Folha de Consultas) + + + Se alguma das aulas forem muito "matemáticas", você pode pular para o final e + ver o vídeo de matemática discreta para ganhar um conhecimento base. ## Data Structures From 51d179a899b366ebe07f731571a82236bc1eb0ed Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 10:24:13 -0300 Subject: [PATCH 065/236] initiated translation of new sections, #9 --- translations/README-ptbr.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index e6abf5f373..125f511d3b 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -39,13 +39,13 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [The Daily Plan](#the-daily-plan) - [Conhecimento Prévio](#conhecimento-prévio) - [Complexidade Algorítmica / Big-O / Análise assintótica](#complexidade-algorítmica--big-o--análise-assintótica) -- [Data Structures](#data-structures) +- [Estrutura de Dados](#estrutura-de-dados) - [Arrays](#arrays) - [Linked Lists](#linked-lists) - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) +- [Mais Conhecimento](#mais-conhecimento) - [Binary search](#binary-search) - [Bitwise operations](#bitwise-operations) - [Trees](#trees) @@ -552,7 +552,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input Se alguma das aulas forem muito "matemáticas", você pode pular para o final e ver o vídeo de matemática discreta para ganhar um conhecimento base. -## Data Structures +## Estrutura de Dados - ### Arrays - Implement an automatically resizing vector. @@ -678,7 +678,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - get(key) - remove(key) -## More Knowledge +## Mais Conhecimento - ### Binary search - [ ] [Binary Search (vídeo)](https://www.youtube.com/watch?v=D5SrAga1pno) From 6a607bbc8ecd3d098a79fd1086347a2b38fe7a73 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 11:06:08 -0300 Subject: [PATCH 066/236] fixed typos and updated some of the text according to changes made to the original file --- translations/README-ptbr.md | 737 +++++++++++++++++------------------- 1 file changed, 347 insertions(+), 390 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 125f511d3b..b294276001 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -138,7 +138,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Machine Learning](#machine-learning) - [Go](#go) - [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [vídeo Series](#vídeo-series) +- [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) --- @@ -181,54 +181,11 @@ Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de ta [Mais sobre a sintaxe de markdown especial do Github](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Entre no Clima de um Googler - -Imprima um cartaz (ou dois) de "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" e mantenha seus olhos no prêmio. - -[![cartaz de um futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## Eu consegui o trabalho? - -Estou na fila no momento. Espero ser entrevistado logo. - - Obrigado pela referência, JP. - -## Me acompanhe - -Minha estória: [Por que eu estudei em tempo integral por 8 meses para uma entrevista com a Google](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -Estou na jornada, também. Me acompanhe: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Universidade de Entrevista da Google](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - ## Não ache que você não é inteligente o suficiente -- Os engenheiros da Google são inteligentes, mas muitos são inseguros quanto à própria inteligência, mesmo que eles trabalhem na Google. +- Engenheiros de software bem sucedidos são inteligentes, mas muitos são inseguros quanto à própria inteligência, mesmo que eles trabalhem na Google. - [O mito do Programador Gênio](https://www.youtube.com/watch?v=0SARbwvhupQ) - [É perigoso ir sozinho: Batalhando os monstros invisíveis na Tecnologia](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## Sobre a Google - -- [ ] Para estudantes - [Carreiras da Google: Guia de Desenvolvimento Técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] Como a pesquisa funciona: - - [ ] [A evolução da pesquisa (vídeo)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [Como a Pesquisa Funciona - a estória](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [Como a Pesquisa Funciona](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [Como a Pesquisa Funciona - Matt Cutts (vídeo)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [Como a Google faz melhorias para o algoritmo de pesquisa deles (vídeo)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [O Estudo Secreto da Google Para Descobrir Nossas Necesidades](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [A Pesquisa Google será seu próximo cérebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [A Profunda Mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Livro: Como a Google Funciona](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Feito pelo anúncio da Google - Oct 2016 (vídeo)](https://www.youtube.com/watch?v=q4y0KOeXViI) - ## Sobre os recursos em vídeo Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, EdX, ou Lynda.com. Esses são chamados de MOOCs (Curso Online Aberto e Massivo). @@ -241,11 +198,11 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, ## Processo de Entrevista e Preparação Geral para a Entrevista - [ ] Vídeos: - - [ ] [Como Trabalhar na Google: Prepare for an Engineering Interview (vídeo)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [Como Trabalhar na Google: Example Coding/Engineering Interview (vídeo)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [Como Trabalhar na Google - Candidate Coaching Session (vídeo)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (vídeo)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [Como Trabalhar na Google: Tech Resume Preparation (vídeo)](https://www.youtube.com/watch?v=8npJLXkcmu8) + - [ ] [Como Trabalhar na Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) + - [ ] [Como Trabalhar na Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) + - [ ] [Como Trabalhar na Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) + - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) + - [ ] [Como Trabalhar na Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - [ ] Articles: - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) @@ -265,10 +222,10 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (vídeo)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (vídeo)](https://www.youtube.com/watch?v=aClxtDcdpsQ) + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (vídeo)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) (Falhando em Entrevistas da Google) ## Escolha Uma Linguagem para a Entrevista @@ -489,7 +446,7 @@ Essa grande lista começou como uma "to-do list" pessoal feita a partir de anota Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. -Each day I take one subject from the list below, watch vídeos about that subject, and write an implementation in: +Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: - C - using structs and functions that take a struct * and something else as args. - C++ - without using built-in types - C++ - using built-in types, like STL's std::list for a linked list @@ -525,24 +482,24 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [answers to questions](https://github.com/lekkas/c-algorithms) (respostas para as questões) - [ ] **Como computadores processam um programa:** - - [ ] [How does CPU execute program (vídeo)](https://www.youtube.com/watch?v=42KTvGYQYnA) (Como uma CPU executa um programa (vídeo)) - - [ ] [Machine Code Instructions (vídeo)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) (Instruções de Código de Máquina (vídeo)) + - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) (Como uma CPU executa um programa (vídeo)) + - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) (Instruções de Código de Máquina (vídeo)) ## Complexidade Algorítmica / Big-O / Análise assintótica - nada para implementar -- [ ] [Harvard CS50 - Asymptotic Notation (vídeo)](https://www.youtube.com/watch?v=iOq5kSKqeR4) (Harvard CS50 - Notação Assintótica (vídeo)) -- [ ] [Big O Notations (general quick tutorial) (vídeo)](https://www.youtube.com/watch?v=V6mKVRU1evU) (Notações Big-O (rápido tutorial geral) (vídeo)) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (vídeo)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Notação Big-O (e Omega e Theta) - melhor explicação matemática (vídeo)) +- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) (Harvard CS50 - Notação Assintótica (vídeo)) +- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) (Notações Big-O (rápido tutorial geral) (vídeo)) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Notação Big-O (e Omega e Theta) - melhor explicação matemática (vídeo)) - [ ] Skiena: - - [vídeo](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) (Uma Introdução Gentil a Análise de Complexidade Algoritmica) -- [ ] [Orders of Growth (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/59) (Ordens de Crescimento (vídeo)) -- [ ] [Asymptotics (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/61) (Assintóticas (vídeo)) -- [ ] [UC Berkeley Big O (vídeo)](https://youtu.be/VIS4YDpuP98) (Big-O - Universidade da Califórnia em Berkeley (vídeo)) -- [ ] [UC Berkeley Big Omega (vídeo)](https://youtu.be/ca3e7UVmeUc) (Grande Omega - Universidade da Califórnia em Berkeley (vídeo)) -- [ ] [Amortized Analysis (vídeo)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Análise Amortizada (vídeo)) -- [ ] [Illustrating "Big O" (vídeo)](https://class.coursera.org/algorithmicthink1-004/lecture/63) (Ilustrando "Big-O" (vídeo)) +- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) (Ordens de Crescimento (vídeo)) +- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) (Assintóticas (vídeo)) +- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) (Big-O - Universidade da Califórnia em Berkeley (vídeo)) +- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) (Grande Omega - Universidade da Califórnia em Berkeley (vídeo)) +- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Análise Amortizada (vídeo)) +- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) (Ilustrando "Big-O" (vídeo)) - [ ] TopCoder (inclui relações de recorrência e teorema mestre): - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) (Complexidade Computacional: Seção 1) - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) (Complexidade Computacional: Seção 2) @@ -557,14 +514,14 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Arrays - Implement an automatically resizing vector. - [ ] Description: - - [Arrays (vídeo)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (vídeo)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (vídeo)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (vídeo)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) + - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) + - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - [ ] Implement a vector (mutable array with automatic resizing): - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - [ ] new raw data array with allocated memory @@ -593,14 +550,14 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Linked Lists - [ ] Description: - - [ ] [Singly Linked Lists (vídeo)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (vídeo)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (vídeo)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole vídeo, just portions about Node struct and memory allocation. + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) + - not the whole video, just portions about Node struct and memory allocation. - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (vídeo)](https://www.youtube.com/watch?v=YQs6IC-vgmo) + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - [ ] Gotcha: you need pointer to pointer knowledge: (for when you pass a pointer to a function that may change the address where that pointer points) This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. @@ -621,19 +578,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] reverse() - reverses the list - [ ] remove_value(value) - removes the first item in the list with this value - [ ] Doubly-linked List - - [Description (vídeo)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No need to implement - ### Stack - - [ ] [Stacks (vídeo)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) + - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - [ ] Will not implement. Implementing with array is trivial. - ### Queue - - [ ] [Using Queues First-In First-Out(vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (vídeo)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) + - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - [ ] Implement using linked-list, with tail pointer: - enqueue(value) - adds value at position at tail - dequeue() - returns value and removes least recently added element (front) @@ -652,24 +609,24 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Hash table - [ ] vídeos: - - [ ] [Hashing with Chaining (vídeo)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (vídeo)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (vídeo)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (vídeo)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (vídeo)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (vídeo)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - [ ] Online Courses: - - [ ] [Understanding Hash Functions (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (vídeo)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (vídeo)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (vídeo)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) + - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (vídeo)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (vídeo)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - [ ] implement with array using linear probing - hash(k, m) - m is size of hash table @@ -681,8 +638,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Mais Conhecimento - ### Binary search - - [ ] [Binary Search (vídeo)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (vídeo)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - [ ] Implement: - binary search (on sorted array of integers) @@ -693,19 +650,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - [ ] Good intro: - [Bit Manipulation (vídeo)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (vídeo)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (vídeo)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - [ ] count set bits - - [4 ways to count bits in a byte (vídeo)](https://youtu.be/Hzuzo9NJrlc) + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - [ ] round to next power of 2: @@ -718,18 +675,18 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Trees - ### Trees - Notes & Background - - [ ] [Series: Core Trees (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - basic tree construction - traversal - manipulation algorithms - BFS (breadth-first search) - - [MIT (vídeo)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - level order (BFS, using queue) time complexity: O(n) space complexity: best: O(1), worst: O(n/2)=O(n) - DFS (depth-first search) - - [MIT (vídeo)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - notes: time complexity: O(n) space complexity: @@ -740,22 +697,22 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - preorder (DFS: self, left, right) - ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (vídeo)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - starts with symbol table and goes through BST applications - - [ ] [Introduction (vídeo)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (vídeo)](https://www.youtube.com/watch?v=9Jry5-82I68) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) + - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (vídeo)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (vídeo)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (vídeo)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (vídeo)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (vídeo)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (vídeo)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (vídeo)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (vídeo)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (vídeo)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (vídeo)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] Implement: - [ ] insert // insert value into tree - [ ] get_node_count // get count of values stored @@ -772,18 +729,18 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Heap / Priority Queue / Binary Heap - visualized as a tree, but is usually linear in storage (array, linked list) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (vídeo)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (vídeo)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (vídeo)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (vídeo)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (vídeo)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (vídeo)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (vídeo)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (vídeo)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (vídeo)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (vídeo)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - [ ] Implement a max-heap: - [ ] insert @@ -814,32 +771,32 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - For heapsort, see Heap data structure above. Heap sort is great, but not stable. -- [ ] [Sedgewick - Mergesort (5 vídeos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) +- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) -- [ ] [Sedgewick - Quicksort (4 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) +- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (vídeo)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (vídeo)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (vídeo)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (vídeo)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (vídeo)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (vídeo)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (vídeo)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (vídeo)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (vídeo)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (vídeo)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (vídeo)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + +- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) +- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) +- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) +- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) +- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) +- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - [ ] Merge sort code: - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) @@ -857,7 +814,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - For heapsort, see Heap data structure above. - [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) @@ -865,10 +822,10 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (vídeo)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (vídeo)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (vídeo)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (vídeo)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) + - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) @@ -886,37 +843,37 @@ Graphs can be used to represent many problems in computer science, so this secti - When asked a question, look for a graph-based solution first, then move on if none. - [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (vídeo)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (vídeo)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (vídeo)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (vídeo)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (vídeo)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (vídeo)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] Graphs (review and more): - - [ ] [6.006 Single-Source Shortest Paths Problem (vídeo)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (vídeo)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (vídeo)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (vídeo)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (vídeo)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (vídeo)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (vídeo)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (vídeo)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (vídeo)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (vídeo)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (vídeo)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (vídeo)](https://www.youtube.com/watch?v=RpgcYiky7uw) + - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) + - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) + - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - Full Coursera Course: - - [ ] [Algorithms on Graphs (vídeo)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) + - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - Yegge: If you get a chance, try to study up on fancier algorithms: - [ ] Dijkstra's algorithm - see above - 6.006 - [ ] A* - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (vídeo)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (vídeo)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - I'll implement: - [ ] DFS with adjacency list (recursive) @@ -927,63 +884,63 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] BFS with adjacency matrix - [ ] single-source shortest path (Dijkstra) - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni vídeos above): + - DFS-based algorithms (see Aduni videos above): - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - [ ] topological sort - [ ] count connected components in a graph - [ ] list strongly connected components - [ ] check for bipartite graph -You'll get more graph practice in Skiena's livro (see livros section below) and the interview livros +Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de livro abaixo) e os livros da entrevista ## Even More Knowledge - ### Recursion - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - when it is appropriate to use it - how is tail recursion better than not? - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (vídeo)](https://www.youtube.com/watch?v=L1jjXGfxozc) + - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - ### Dynamic Programming - **NOTE:** DP is a valuable technique, but it is not mentioned on any of the prep material Google provides. But you could get a problem where DP provides an optimal solution. So I'm including it. - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - [ ] vídeos: - - the Skiena vídeos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (vídeo)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (vídeo)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (vídeo)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (vídeo)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (vídeo)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (vídeo)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (vídeo)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - [ ] List of individual DP problems (each is short): - [Dynamic Programming (vídeo)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - [ ] Yale Lecture notes: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - [ ] Coursera: - - [ ] [The RNA secondary structure problem (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (vídeo)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (vídeo)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 vídeos): + - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Can skip this if you have a great grasp of OO and OO design practices. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (vídeo)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (vídeo)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (vídeo)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) + - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) @@ -991,14 +948,14 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (vídeo)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - ### Design patterns - - [ ] [Quick UML review (vídeo)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Learn these patterns: - [ ] strategy - [ ] singleton @@ -1017,58 +974,58 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] iterator - [ ] composite - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (vídeo)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (vídeo)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (vídeo)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Séries de vídeos (27 vídeos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Video series (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (vídeo)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (vídeo)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (vídeo)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - Course layout: - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the vídeos - 41 (each are simple and each are short): - - [ ] [Probability Explained (vídeo)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + - Just the videos - 41 (each are simple and each are short): + - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Complete and Approximation Algorithms - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, and be able to recognize them when an interviewer asks you them in disguise. - Know what NP-complete means. - - [ ] [Computational Complexity (vídeo)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (vídeo)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (vídeo)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (vídeo)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (vídeo)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness III (video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (vídeo)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (vídeo)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (vídeo)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (vídeo)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (vídeo)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (vídeo)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - Peter Norvig discusses near-optimal solutions to traveling salesman problem: - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Pages 1048 - 1140 in CLRS if you have it. - ### Caches - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (vídeo)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (vídeo)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (vídeo)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (vídeo)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (vídeo)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 vídeos): - - for processes and threads see vídeos 1-11 - - [Operating Systems and System Programming (vídeo)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [ ] Computer Science 162 - Operating Systems (25 videos): + - for processes and threads see videos 1-11 + - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - Covers: - Processes, Threads, Concurrency issues @@ -1089,8 +1046,8 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - Context switching - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 vídeos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (vídeos): + - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] concurrency in Python (videos): - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) @@ -1119,10 +1076,10 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - paper not available - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [vídeo](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [vídeo](https://www.usenix.org/node/170855) + - [video](https://www.usenix.org/node/170855) - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) @@ -1136,36 +1093,36 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - what are mock objects - what is integration testing - what is dependency injection - - [ ] [Agile Software Testing with James Bach (vídeo)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (vídeo)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (vídeo)](https://vimeo.com/83960706) + - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (vídeo)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [vídeo series (152 vídeos) - not all are needed (vídeo)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - [ ] Dependency injection: - - [ ] [vídeo](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - ### Scheduling - in an OS, how it works - - can be gleaned from Operating System vídeos + - can be gleaned from Operating System videos - ### Implement system routines - understand what lies beneath the programming APIs you use - can you implement them? - ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (vídeo)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (vídeos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (vídeo)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) @@ -1193,21 +1150,21 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (vídeo)](https://www.youtube.com/watch?v=UrYLYV7WSHM) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) - [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. - [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) - [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (vídeo)](https://www.youtube.com/watch?v=srOgpXECblk) +- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) - [ ] Paxos Consensus algorithm: - - [vídeo curto](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended vídeo with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) - [ ] Scalability: - - [ ] [Great overview (vídeo)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - [ ] Short series: - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) @@ -1217,20 +1174,20 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (vídeo)](https://www.youtube.com/watch?v=modXC5IWTJI) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (vídeo)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (vídeo)](https://www.youtube.com/watch?v=H4vMcD7zKM0) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (vídeo)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(vídeo)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [vídeo](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (vídeo)](https://www.youtube.com/watch?v=3vV4YiqKm1o) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) @@ -1243,7 +1200,7 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live vídeo Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [Live video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) @@ -1252,7 +1209,7 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live vídeo Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Justin.Tv's Live video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) @@ -1260,9 +1217,9 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (vídeo)](https://www.youtube.com/watch?v=5cKTP36HVgI) + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" vídeo series in the vídeo Series section. + - For even more, see "Mining Massive Datasets" video series in the video Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) @@ -1302,11 +1259,11 @@ You'll get more graph practice in Skiena's livro (see livros section below) and Essa seção terá vídeos mais curtos que você pode assistir rapidamente para revisar a maioria dos conceitos importantes. É legal se você quiser dar uma refrescada na memória. -- [ ] Series of 2-3 minutes short subject vídeos (23 vídeos) - - [vídeos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject vídeos - Michael Sambol (18 vídeos): - - [vídeos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick vídeos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) +- [ ] Series of 2-3 minutes short subject videos (23 videos) + - [videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): + - [videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) @@ -1318,7 +1275,7 @@ You'll get more graph practice in Skiena's livro (see livros section below) and - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick vídeos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) +- [ ] [Sedgewick videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) @@ -1401,7 +1358,7 @@ Maybe: ## Once you're closer to the interview -- [ ] Cracking The Coding Interview Set 2 (vídeos): +- [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) @@ -1487,14 +1444,14 @@ You're never really done. ## Additional Learning - ### Compilers - - [ ] [How a Compiler Works in ~1 minute (vídeo)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (vídeo)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (vídeo)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (vídeo)](https://www.youtube.com/watch?v=FnGCDLhaxKU) + - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) + - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) + - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (vídeo - there is an error in calculations - see vídeo description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (vídeo)](https://www.youtube.com/watch?v=50ZYcZebIec) + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - ### Unicode - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) @@ -1502,31 +1459,31 @@ You're never really done. - ### Endianness - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (vídeo)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (vídeo)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - Very technical talk for kernel devs. Don't worry if most is over your head. - The first half is enough. - ### Emacs and vi(m) - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (vídeo)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) + - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) - - set of 4 vídeos: + - set of 4 videos: - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - emacs: - - [Basics Emacs Tutorial (vídeo)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (vídeos): + - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) + - set of 3 (videos): - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (vídeo)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (vídeo)](https://www.youtube.com/watch?v=nsGYet02bEk) + - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix command line tools - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. @@ -1542,7 +1499,7 @@ You're never really done. - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) -- ### Information theory (vídeos) +- ### Information theory (videos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - [ ] more about Markov processes: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) @@ -1550,7 +1507,7 @@ You're never really done. - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - See more in MIT 6.050J Information and Entropy series below. -- ### Parity & Hamming Code (vídeos) +- ### Parity & Hamming Code (videos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - [ ] Hamming Code: @@ -1559,27 +1516,27 @@ You're never really done. - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - ### Entropy - - also see vídeos below - - make sure to watch information theory vídeos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (vídeo)](https://youtu.be/JnJq3Py0dyM?t=176) + - also see videos below + - make sure to watch information theory videos first + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - ### Cryptography - - also see vídeos below - - make sure to watch information theory vídeos first + - also see videos below + - make sure to watch information theory videos first - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - ### Compression - - make sure to watch information theory vídeos first - - [ ] Computerphile (vídeos): + - make sure to watch information theory videos first + - [ ] Computerphile (videos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head vídeos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) + - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - ### Networking @@ -1593,11 +1550,11 @@ You're never really done. - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [vídeo Series (21 vídeos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - ### Computer Security - - [MIT (23 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) @@ -1612,15 +1569,15 @@ You're never really done. - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (vídeo)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (vídeo)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (vídeo)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (vídeo)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Parallel Programming - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (vídeo)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) @@ -1628,7 +1585,7 @@ You're never really done. - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (vídeo)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) + - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - [ ] [Redis](http://redis.io/) - [Tutorial](http://try.redis.io/) - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) @@ -1647,8 +1604,8 @@ You're never really done. - ### Fast Fourier Transform - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (vídeo)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (vídeo)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) + - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) + - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - ### Bloom Filter @@ -1667,7 +1624,7 @@ You're never really done. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (vídeo)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) + - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - ### Augmented Data Structures @@ -1677,18 +1634,18 @@ You're never really done. - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits to track the path. - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course vídeos: - - [ ] [Introduction To Tries (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (vídeo)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - ### Balanced search trees @@ -1712,9 +1669,9 @@ You're never really done. balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it attractive for data structures that may be built once and loaded without reconstruction, such as language dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (vídeo)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (vídeo)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (vídeo)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) + - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) + - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) + - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - [ ] **Splay trees** @@ -1722,10 +1679,10 @@ You're never really done. Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (vídeo)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] MIT Lecture: Splay Trees: - Gets very mathy, but watch the last 10 minutes for sure. - - [vídeo](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + - [video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - [ ] **Red/black trees** - these are a translation of a 2-3 tree (see below) @@ -1737,8 +1694,8 @@ You're never really done. the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (vídeo)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (vídeo)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) + - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) + - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) @@ -1746,9 +1703,9 @@ You're never really done. - In practice: 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (vídeo)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) + - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (vídeo)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] **2-3-4 Trees (aka 2-4 trees)** - In practice: @@ -1756,9 +1713,9 @@ You're never really done. operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (vídeo)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (vídeo)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (vídeo)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - [ ] **N-ary (K-ary, M-ary) trees** - note: the N or K is the branching factor (max branches) @@ -1774,10 +1731,10 @@ You're never really done. block in a particular file. The basic problem is turning the file block i address into a disk block (or perhaps to a cylinder-head-sector) address. - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (vídeo)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (vídeo)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (vídeo)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (vídeo)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) + - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - covers cache-oblivious B-Trees, very interesting data structures - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) @@ -1785,61 +1742,61 @@ You're never really done. - ### k-D Trees - great for finding number of points in a rectangle or higher dimension object - a good fit for k-nearest neighbors - - [ ] [Kd Trees (vídeo)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (vídeo)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) + - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - ### Skip lists - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (vídeo)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (vídeo)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (vídeo)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (vídeo)](https://www.youtube.com/watch?v=2vhN4Ice5jI) + - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (vídeo)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 vídeos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (vídeo)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (vídeo)](https://www.youtube.com/watch?v=ru7mWZJlRQg) + - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - ### Treap - Combination of a binary search tree and a heap - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (vídeo)](https://www.youtube.com/watch?v=6podLUYinH8) + - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) -- ### Linear Programming (vídeos) +- ### Linear Programming (videos) - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) -- ### Geometry, Convex hull (vídeos) +- ### Geometry, Convex hull (videos) - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - ### Discrete math - - see vídeos below + - see videos below - ### Machine Learning - [ ] Why ML? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (vídeo)](https://www.youtube.com/watch?v=QSaZGT4-6EY) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (vídeo)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (vídeo)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (vídeo)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) + - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - Courses: - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [vídeos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see vídeos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) @@ -1854,7 +1811,7 @@ You're never really done. - Data School: http://www.dataschool.io/ - ### Go - - [ ] vídeos: + - [ ] videos: - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) @@ -1879,7 +1836,7 @@ You're never really done. - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) -- [ ] **More Dynamic Programming** (vídeos) +- [ ] **More Dynamic Programming** (videos) - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) @@ -1888,11 +1845,11 @@ You're never really done. - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) -- [ ] **Advanced Graph Processing** (vídeos) +- [ ] **Advanced Graph Processing** (videos) - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (vídeos): +- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) @@ -1902,10 +1859,10 @@ You're never really done. - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) -- [ ] [Simonson: Approximation Algorithms (vídeo)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) +- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - [ ] **String Matching** - - [ ] Rabin-Karp (vídeos): + - [ ] Rabin-Karp (videos): - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) @@ -1915,7 +1872,7 @@ You're never really done. - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - [ ] Boyer–Moore string search algorithm - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (vídeo)](https://www.youtube.com/watch?v=QDZpzctPf10) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - nice explanation of tries @@ -1924,80 +1881,80 @@ You're never really done. - [ ] **Sorting** - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (vídeo)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) + - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (vídeo)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (vídeo)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) + - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) + - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (vídeo)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (vídeo)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (vídeo)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (vídeo)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Séries de Vídeo +## Video Series Sit back and enjoy. "Netflix and skill" :P - [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) -- [ ] [x86 Architecture, Assembly, Applications (11 vídeos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) +- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 vídeos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) -- [ ] [Discrete Mathematics by Shai Simonson (19 vídeos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) +- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 vídeos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) -- [ ] CSE373 - Analysis of Algorithms (25 vídeos) +- [ ] CSE373 - Analysis of Algorithms (25 videos) - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 vídeos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 vídeos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) -- [ ] [UC Berkeley 61C: Machine Structures (26 vídeos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) -- [ ] [OOSE: Software Dev Using UML and Java (21 vídeos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) +- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 vídeos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) -- [ ] [MIT 6.004: Computation Structures (49 vídeos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) +- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 vídeos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) -- [ ] [MIT 6.006: Intro to Algorithms (47 vídeos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) +- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) -- [ ] [MIT 6.033: Computer System Engineering (22 vídeos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) +- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 vídeos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 vídeos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 vídeos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) -- [ ] [MIT 6.851: Advanced Data Structures (22 vídeos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) +- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 vídeos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 vídeos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) -- [ ] [Stanford: Programming Paradigms (27 vídeos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) +- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) -- [ ] [Mining Massive Datasets - Stanford University (94 vídeos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) +- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) -- [ ] [Graph Theory by Sarada Herke (67 vídeos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) +- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) ## Computer Science Courses From 28eeffc4c1be346b4dcaabc7218cb987327d77eb Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 12:05:34 -0300 Subject: [PATCH 067/236] changing translation file according to changes made to original file --- translations/README-ptbr.md | 88 ++++++++++++------------------------- 1 file changed, 27 insertions(+), 61 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b294276001..9dbf14db34 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1,20 +1,19 @@ -# Universidade de Entrevista da Google +# Universidade de Entrevista de Programação -Original: [Inglês](https://github.com/jwasham/google-interview-university/blob/master/README.md) +Original: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) ## O que é isso? -Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, sem formação em Ciência da Computação) à engenheiro de software da Google. +Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, sem formação em Ciência da Computação) à engenheiro de software para uma grande empresa. ![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) Essa longa lista foi extraída e expandida a partir das **anotações de treinamento da Google**, então essas são as coisas que você precisa saber. Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treinamento da Google. -Eu resumi o que você precisa saber das recomendações do Yegge. Eu alterei os requerimentos do Yegge com base em informações que recebi do meu contato na Google. Isso é direcionado à **engenheiros de software novos** ou àqueles que estão trocando de desenvolvimento de software/web para engenharia de software (onde conhecimento de ciência de computação é necessário). Se você tem vários anos de experiência e está alegando muitos anos de experiência com engenharia de software, pode esperar por uma entrevista mais difícil. -[Leia mais](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/) +Isso é direcionado à **engenheiros de software novos** ou àqueles que estão migrando de desenvolvimento de software/web para engenharia de software (onde conhecimento de ciência da computação é necessário). Se você tem vários anos de experiência e está alegando muitos anos de experiência com engenharia de software, pode esperar por uma entrevista mais difícil. -Se você tem vários anos de experiência com desenvolvimento de software/web, observe que a Google considera engenharia de software algo distinto de desenvolvimento de software/web e eles pedem conhecimento de ciência da computação. +Se você tem vários anos de experiência com desenvolvimento de software/web, observe que grandes empresas como Google, Amazon, Facebook e Microsoft consideram engenharia de software como algo distinto de desenvolvimento de software/web e elas requerem conhecimento de ciência da computação. Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, estude mais da lista opcional (rede, segurança). @@ -25,9 +24,6 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [O que é isso?](#o-que-é-isso) - [Por que usar?](#por-que-usar) - [Como usar?](#como-usar) -- [Entre no Clima de um Googler](#entre-no-clima-de-um-googler) -- [Eu consegui o trabalho?](#eu-consegui-o-trabalho) -- [Me acompanhe](#me-acompanhe) - [Não ache que você não é inteligente o suficiente](#não-ache-que-você-não-é-inteligente-o-suficiente) - [Sobre a Google](#sobre-a-google) - [Sobre os recursos em vídeo](#sobre-os-recursos-em-vídeo) @@ -145,12 +141,10 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est ## Por que usar? -Estou seguindo esse plano para me preparar para a minha entrevista com a Google. Eu estive construindo a web, construindo serviços, e lançando startups desde 1997. Eu sou graduado em economia, não em ciência da computação. Eu tenho sido muito bem sucedido em minha carreira, mas eu quero trabalhar na Google. Quero progredir para sistemas maiores e realmente entender sistemas de computação, eficiência algorítmica, desempenho de estrutura de dados, linguagens de baixo nível, e como tudo funciona. E se você não sabe nada disso, a Google não vai te contratar. - Quando eu comecei esse projeto, eu não sabia diferenciar memória dinâmica de memória estática, não sabia notação Big-O, árvores, ou como percorrer um gráfico. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por baixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. -Mas depois de passar por esse plano de estudo sou confiante de que serei contratado. É um longo plano. Vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. +É um longo plano. Você vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. ## Como usar @@ -182,9 +176,9 @@ Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de ta [Mais sobre a sintaxe de markdown especial do Github](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) ## Não ache que você não é inteligente o suficiente -- Engenheiros de software bem sucedidos são inteligentes, mas muitos são inseguros quanto à própria inteligência, mesmo que eles trabalhem na Google. +- Engenheiros de software bem sucedidos são inteligentes, mas muitos são inseguros quanto à própria inteligência. - [O mito do Programador Gênio](https://www.youtube.com/watch?v=0SARbwvhupQ) -- [É perigoso ir sozinho: Batalhando os monstros invisíveis na Tecnologia](https://www.youtube.com/watch?v=1i8ylq4j_EY) +- [É perigoso ir sozinho: Batalhando os monstros invisíveis na indústria de Tecnologia](https://www.youtube.com/watch?v=1i8ylq4j_EY) ## Sobre os recursos em vídeo @@ -197,42 +191,25 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, ## Processo de Entrevista e Preparação Geral para a Entrevista -- [ ] Vídeos: - - [ ] [Como Trabalhar na Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [Como Trabalhar na Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [Como Trabalhar na Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [Como Trabalhar na Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) +- [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) +- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) +- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) +- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) +- [ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) +- [ ] How to Get a Job at the Big 4: + - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - [ ] Prep Courses: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) (Falhando em Entrevistas da Google) + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. ## Escolha Uma Linguagem para a Entrevista -Eu escrevi um pequeno artigo sobre esse tema: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) (Importante: Escolha Uma Linguage para a Entrevista da Google) - -Você pode escolher uma linguagem com a qual você esteja confortável para fazer a parte de programação (parte prática) da entrevista, mas para a Google, essas são ótimas opções: +Você pode escolher uma linguagem com a qual você esteja confortável para fazer a parte de programação (parte prática) da entrevista, mas para grandes empresas, essas são ótimas opções: - C++ - Java @@ -243,7 +220,7 @@ Você também poderia usar essas, mas dê uma lida por aí antes. Podem haver av - JavaScript - Ruby -Você precisa estar confortável com a linguagem e ser bem informado. [1]*translator note > clarify with author: "knowledgeable about the chosen language or knowledgeable in general? (sobre programação em geral)* +Você precisa estar confortável com a linguagem e ser bem informado. Leia mais sobre as escolhas: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ @@ -262,19 +239,15 @@ Essa é uma lista menor comparada à que eu usei. Está abreviado para economiza - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) (Entrevistas de Programação Expostas: Segredos para Conseguir Seu Próximo Emprego, 2ª Edição) - respostas em C++ e Java - - recomendado no treinamento de candidatos da Google - esse é um bom aquecimento para o Cracking the Coding Interview (Decifrando a Entrevista de Programação) - não é muito difícil, a maioria dos problemas poderão ser mais fáceis que aqueles que você verá em uma entrevista (de acordo com o que li) - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) (Decifrando a Entrevista de Programação). - respostas em Java - - recomendado no [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) (site de Carreiras da Google) - - Se você ver pessoas fazendo referência à "The Google Resume" (O Currículo da Google), foi um livro substituído por "Cracking the Coding Interview." (Decifrando a Entrevista de Programação). Se você tem muito tempo sobrando: -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programação) - - todo código em C++, muito bom se você está pensando em usar C++ na sua entrevista - - um bom livro sobre resolução de problemas em geral. +- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programação (Versão C++)) +- [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) (Elementos de Entrevistas de Programação (Versão Java)) ### Arquitetura de Computador @@ -301,7 +274,7 @@ Se você tem mais tempo (eu quero esse livro): ### Específico de Linguagem -**Você precisa escolher uma linguagem para a entrevista (veja acima).** Aqui estão minhas recomendações por linguagem. Eu não conheço recursos para todas as linguagens. Contribuições de recursos aqui são bem-vindas. +**Você precisa escolher uma linguagem para a entrevista (veja acima).** Aqui estão minhas recomendações por linguagem. Eu não tenho recursos para todas as linguagens. Contribuições são bem-vindas. Se você ler um desses, você deverá ter todo conhecimento de estrutura de dados e algoritmos que precisará para começar a resolver problemas de programação. **Você pode pular todas as aulas em vídeo nesse projeto**, a não ser que você queira uma revisão. @@ -315,7 +288,7 @@ Eu ainda não li esses dois, mas eles são muito bem avaliados e escritos por Se - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) (Algoritmos em C++, Partes 1-4: Fundamentos, Estrutura de Dados, Ordenação, Busca). - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) (Algoritmos em C++ Parte 5: Algoritmos de Gráfico) -Se você tiver uma recomendação melhor para C++, por favor me informe. Busco recursos completos. +Se você tiver uma recomendação melhor para C++, por favor me informe. Busco por recursos completos. ### Java @@ -354,18 +327,12 @@ OU: - boas estórias da experiência dele resolvendo problemas na indústria e na universidade - exemplo de código em C - contras: - - pode ser tão denso e impenetrável quanto CLRS (Introdução a Algoritmos), e em alguns casos, CLRS pode ser uma alternativa melhor para alguns temas + - pode ser tão denso ou impenetrável quanto CLRS (Introdução a Algoritmos), e em alguns casos, CLRS pode ser uma alternativa melhor para alguns temas - capítulos 7, 8 e 9 podem ser sofridos para acompanhar, já que alguns itens não são bem explicados ou requerem mais cérebro do que eu tenho - não me entenda mal: Eu gosto de Skiena, do estilo de ensino dele, e maneirismos, mas pode não ser um material do tipo da universidade Stony Brook. - catálogo de algoritmos - essa é a verdadeira razão para você comprar esse livro. - prestes a chegar nessa parte. Vou atualizar aqui assim que eu terminar de ler essa parte. - - Citando Yegge: "Mais que qualquer outro livro, esse me ajudou a compreender o quão surpreendentemente comum - (e importante) os problemas de gráficos são – eles devem ser parte do kit de ferramentas de cada programador profissional. Esse livro também - cobre o básico de estrutura de dados e algoritmos de ordenação, que é um ótimo bônus. Mas a mina de ouro é a segunda metade - do livro, a qual é um tipo de enciclopédia contendo páginas individuais (1-pagers) sobre zilhões de problemas úteis e várias formas de resolver - eles, sem muitos detalhes. Quase toda página individual (1-pager) contém uma foto simples, facilitando a memorização. Essa é uma - excelente maneira de aprender a identificar centenas de tipos de problemas." - Pode alugar no kindle - Half.com é um ótimo recurso para livros com bons preços. - Respostas: @@ -375,7 +342,6 @@ OU: - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) (Introdução à Algoritmos) - **Importante:** Ler esse livro só terá um valor limitado. Esse livro é ótimo para revisão de algoritmos e estrutura de dados, mas não irá te ensinar a escrever um bom código. Você deve ser capaz de programar uma solução decente eficientemente. - - Citando Yegge: "Mas se você quer chegar nas suas entrevistas *preparado*, então considere adiar sua candidatura até que você tenha terminado de ler o livro." - Half.com é um ótimo recurso para livros com bons preços. - também conhecido como CLR, às vezes CLRS, porque Stein estava atrasado para o negócio @@ -415,7 +381,7 @@ Faça o seu próprio, grátis: - [Minha base de dados de flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados de flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Pensando bem, eu fiz uma revisão e tive os cartões completos, abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é exigido pela Google.  +Tenha em mente que eu exagerei e tenho cartas abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é requerido.  **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. From e6264d16a10b1e51ca5589272e8e972e991f1d9d Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 12:29:10 -0300 Subject: [PATCH 068/236] finished editing translation file according to changes in original file --- translations/README-ptbr.md | 233 ++++++++++++++++++------------------ 1 file changed, 114 insertions(+), 119 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 9dbf14db34..3bbf7819fe 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -25,7 +25,6 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Por que usar?](#por-que-usar) - [Como usar?](#como-usar) - [Não ache que você não é inteligente o suficiente](#não-ache-que-você-não-é-inteligente-o-suficiente) -- [Sobre a Google](#sobre-a-google) - [Sobre os recursos em vídeo](#sobre-os-recursos-em-vídeo) - [Processo de Entrevista e Preparação Geral para a Entrevista](#processo-de-entrevista-e-preparação-geral-para-a-entrevista) - [Escolha Uma Linguagem para a Entrevista](#escolha-uma-linguagem-para-a-entrevista) @@ -76,6 +75,11 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Scheduling](#scheduling) - [Implement system routines](#implement-system-routines) - [String searching & manipulations](#string-searching--manipulations) + - [Tries](#tries) + - [Floating Point Numbers](#floating-point-numbers) + - [Unicode](#unicode) + - [Endianness](#endianness) +- [Networking](#networking) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) - [Final Review](#final-review) - [Coding Question Practice](#coding-question-practice) @@ -91,9 +95,6 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Additional Books](#additional-books) - [Additional Learning](#additional-learning) - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - [Emacs and vi(m)](#emacs-and-vim) - [Unix command line tools](#unix-command-line-tools) - [Information theory](#information-theory) @@ -101,18 +102,17 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Entropy](#entropy) - [Cryptography](#cryptography) - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - [Computer Security](#computer-security) - [Garbage collection](#garbage-collection) - [Parallel Programming](#parallel-programming) - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [A*](#a) - [Fast Fourier Transform](#fast-fourier-transform) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - [Balanced search trees](#balanced-search-trees) - AVL trees @@ -132,7 +132,6 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Geometry, Convex hull](#geometry-convex-hull) - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - - [Go](#go) - [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) @@ -159,7 +158,7 @@ Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de ta `git checkout -b progress` -`git remote add jwasham https://github.com/jwasham/google-interview-university` +`git remote add jwasham https://github.com/jwasham/coding-interview-university` `git fetch --all` @@ -225,7 +224,6 @@ Você precisa estar confortável com a linguagem e ser bem informado. Leia mais sobre as escolhas: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview [Veja recursos de linguagens aqui](programming-language-resources.md) @@ -310,7 +308,7 @@ OU: - por Goodrich, Tamassia, Goldwasser - Eu adorei esse livro. Ele cobriu tudo e mais. - Código pythonico. - - meu brilhante resumo: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ + - meu brilhante resumo: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ ### Livros Opcionais @@ -366,7 +364,7 @@ Assisti a horas de vídeos e fiz anotações e meses depois havia muito que eu n Por favor, leia para que você não cometa os meus erros: -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) +[Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) ### 2. Use Flashcards @@ -402,7 +400,7 @@ Há um monte de distrações que podem ocupar um tempo valioso. Foco e concentra ## O que você não verá -Essa grande lista começou como uma "to-do list" pessoal feita a partir de anotações do treinamento de entrevistas da Google. Essas são tecnologias predominantes, mas que não foram mencionadas nessas anotações: +Essas são tecnologias predominantes, mas não são partes desse plano de estudo: - SQL - Javascript @@ -793,17 +791,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) +As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) ## Graphs Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: +- Notes: + - There are 4 basic ways to represent a graph in memory: - objects and pointers - - matrix + - adjacency matrix - adjacency list + - adjacency map - Familiarize yourself with each representation and its pros & cons - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - When asked a question, look for a graph-based solution first, then move on if none. @@ -834,13 +834,6 @@ Graphs can be used to represent many problems in computer science, so this secti - Full Coursera Course: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - - I'll implement: - [ ] DFS with adjacency list (recursive) - [ ] DFS with adjacency list (iterative with stack) @@ -873,7 +866,6 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - ### Dynamic Programming - - **NOTE:** DP is a valuable technique, but it is not mentioned on any of the prep material Google provides. But you could get a problem where DP provides an optimal solution. So I'm including it. - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - [ ] vídeos: @@ -909,7 +901,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) @@ -947,6 +939,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) + - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) - ### Combinatorics (n choose k) & Probability - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) @@ -1007,6 +1000,9 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - livelock - CPU activity, interrupts, context switching - Modern concurrency constructs with multicore processors + - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) + - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) + - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. @@ -1023,11 +1019,10 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - ### Papers - - These are Google papers and well-known papers. - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - replaced by Colossus in 2012 - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) @@ -1035,7 +1030,9 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) + - The Dynamo paper kicked off the NoSQL revolution + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf) - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) @@ -1065,7 +1062,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - [ ] Dependency injection: - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) @@ -1089,17 +1086,65 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) ---- +- ### Tries + - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits + to track the path. + - I read through code, but will not implement. + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + +- ### Floating Point Numbers + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + +- ### Unicode + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) + +- ### Endianness + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - Very technical talk for kernel devs. Don't worry if most is over your head. + - The first half is enough. + +- ### Networking + - **if you have networking experience or want to be a systems engineer, expect questions** + - otherwise, this is just good to know + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) + - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) + - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) + - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + - [ ] Sockets: + - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) + - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## System Design, Scalability, Data Handling - **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. Expect to spend quite a bit of time on this. -- Considerations from Yegge: +- Considerations: - scalability - Distill large data sets to single values - Transform one data set to another @@ -1166,7 +1211,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) @@ -1175,7 +1220,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) @@ -1185,10 +1230,10 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the video Series section. + - For even more, see "Mining Massive Datasets" video series in the Video Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - flow: 1. Understand the problem and scope: - define the use cases, with interviewer's help @@ -1222,14 +1267,14 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de ## Final Review - Essa seção terá vídeos mais curtos que você pode assistir rapidamente para revisar a maioria dos conceitos importantes. - É legal se você quiser dar uma refrescada na memória. + This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. + It's nice if you want a refresher often. - [ ] Series of 2-3 minutes short subject videos (23 videos) - - [videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) + - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) - [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) + - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) @@ -1241,7 +1286,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) +- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) @@ -1273,11 +1318,9 @@ Why you need to practice doing programming problems: - testing your solutions There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview livros, too, but I found this outstanding: +interview books, too, but I found this outstanding: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. @@ -1308,6 +1351,10 @@ Take coding challenges every day, as many as you can. - [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) - [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) +Coding Interview Question Videos: +- [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) +- [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) + Challenge sites: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) @@ -1318,9 +1365,12 @@ Challenge sites: - [InterviewCake](https://www.interviewcake.com/) - [Geeks for Geeks](http://www.geeksforgeeks.org/) - [InterviewBit](https://www.interviewbit.com/invite/icjf) +- [Sphere Online Judge (spoj)](http://www.spoj.com/) -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) +Mock Interviews: +- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) +- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) +- [Refdash: Mock interviews](https://refdash.com/) ## Once you're closer to the interview @@ -1331,7 +1381,6 @@ Maybe: ## Your Resume -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) - See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed @@ -1344,7 +1393,7 @@ Have a story, not just data, about something you accomplished. - What's a tough problem you've solved? - Biggest challenges faced? - Best/worst designs seen? -- Ideas for improving an existing Google product. +- Ideas for improving an existing product. - How do you work best, as an individual and as part of a team? - Which of your skills or experiences would be assets in the role and why? - What did you most enjoy at [job x / project y]? @@ -1371,8 +1420,6 @@ Have a story, not just data, about something you accomplished. Congratulations! -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - Keep learning. You're never really done. @@ -1382,7 +1429,7 @@ You're never really done. ***************************************************************************************************** ***************************************************************************************************** - Everything below this point is optional. These are my recommendations, not Google's. + Everything below this point is optional. By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for any software engineering job. You'll be a much more well-rounded software engineer. @@ -1391,7 +1438,7 @@ You're never really done. --- -## Livros Adicionais +## Additional Books - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - an oldie but a goodie @@ -1403,35 +1450,21 @@ You're never really done. - [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - aka the "Gang Of Four" book, or GOF - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) ## Additional Learning +These topics will likely not come up in an interview, but I added them to help you become a well-rounded +software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. + - ### Compilers - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - - ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor + - Familiarize yourself with a unix-based code editor - vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) @@ -1452,7 +1485,7 @@ You're never really done. - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. + - I filled in the list below from good tools. - [ ] bash - [ ] cat - [ ] grep @@ -1505,20 +1538,6 @@ You're never really done. - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - - ### Computer Security - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) @@ -1567,6 +1586,11 @@ You're never really done. - [ ] [MessagePack](http://msgpack.org/index.html) - [ ] [Avro](https://avro.apache.org/) +- ### A* + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + - ### Fast Fourier Transform - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) @@ -1596,24 +1620,6 @@ You're never really done. - ### Augmented Data Structures - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - ### Balanced search trees - Know least one type of balanced binary tree (and know how it's implemented): - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. @@ -1648,7 +1654,7 @@ You're never really done. - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] MIT Lecture: Splay Trees: - Gets very mathy, but watch the last 10 minutes for sure. - - [video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - [ ] **Red/black trees** - these are a translation of a 2-3 tree (see below) @@ -1769,23 +1775,13 @@ You're never really done. - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - Resources: - - Livros: + - Books: - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - Data School: http://www.dataschool.io/ -- ### Go - - [ ] videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Livros: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - -- ## Additional Detail on Some Subjects @@ -1925,5 +1921,4 @@ Sit back and enjoy. "Netflix and skill" :P ## Computer Science Courses - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - +- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) \ No newline at end of file From 716b9429dd121d94de5b23b9043fc82749558bd7 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 12:33:11 -0300 Subject: [PATCH 069/236] translation of small section --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 3bbf7819fe..8ae75d2a4e 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1267,8 +1267,8 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de ## Final Review - This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. + Essa seção terá vídeos mais curtos que você pode assistir rapidamente para revisar a maioria dos conceitos importantes. + É legal se você quiser dar uma refrescada na memória. - [ ] Series of 2-3 minutes short subject videos (23 videos) - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) From 34d2afbb8d16ecd336d1cf7ba59b1f523d620a6b Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 1 Apr 2017 12:51:06 -0300 Subject: [PATCH 070/236] fixed translation file, was missing parts from the original file --- translations/README-ptbr.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 8ae75d2a4e..0daae2fad5 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1,5 +1,15 @@ # Universidade de Entrevista de Programação +> I originally created this as a short to-do list of study topics for becoming a software engineer, +> but it grew to the large list you see today. After going through this study plan, [I got hired +> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> You probably won't have to study as much as I did. Anyway, everything you need is here. +> +> The items listed here will prepare you well for in an interview at just about any software company, +> including the giants: Amazon, Facebook, Google or Microsoft. +> +> *Best of luck to you!* + Original: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) ## O que é isso? From c4f227b36bfe347d40bb67ff2215b1fde024eb5d Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Sun, 2 Apr 2017 07:43:55 -0400 Subject: [PATCH 071/236] Add the System Design Primer Resource to learn how to design large-scale systems and to prep for the system design interview. Resolves #174. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 8d04d8c06a..c2f9bbb72e 100644 --- a/README.md +++ b/README.md @@ -1195,7 +1195,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - simplicity and robustness - tradeoffs - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) +- [ ] **START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) +- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) From 8e5ace721805df7abb7b3de6237d8768b621ecd2 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Wed, 5 Apr 2017 18:02:50 -0300 Subject: [PATCH 072/236] finished translation of two other sections, closes #9 --- translations/README-ptbr.md | 290 ++++++++++++++++++------------------ 1 file changed, 145 insertions(+), 145 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 0daae2fad5..7c0d252046 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -486,165 +486,165 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Estrutura de Dados - ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: + - Implementar um vetor de redimensionamento automático. + - [ ] Descrição: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) (Arrays lineares e multidimensionais (vídeo)) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) (Arrays básicos (vídeo)) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) (Multidimensionais(vídeo)) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) (Arrays Dinâmicos (vídeo)) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) (Arrays Multidimensionais (vídeo)) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) (Arrays Multidimensionais (vídeo)) + - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) (Arrays Dinâmicos) + - [ ] Implementar um vetor (array mutável com redimensionamento automático): + - [ ] Praticar programação usando arrays e ponteiros, e matemática de ponteiros para pular para um índice ao invés de usar indexação. + - [ ] novo array de dados brutos com memória alocada + - pode alocar array de números inteiros por de baixo dos panos, só não pode usar seus recursos + - começa com 16, ou se o número inicial for maior, usar potência de 2 - 16, 32, 64, 128 + - [ ] size() - número de itens + - [ ] capacity() - número de itens que pode conter - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] at(index) - retorna o item que está no índice fornecido, dá erro se o índice estiver fora da capacidade do array - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) - -- ### Linked Lists - - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. - - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement + - [ ] insert(índice, item) - insere "item" no "índice", muda o valor daquele índice e move os elementos excedentes para a direita + - [ ] prepend(item) - pode usar o insert acima no índice 0 + - [ ] pop() - remove do final, retorna o valor + - [ ] delete(índice) - deleta o item no índice fornecido, deslocando todos os elementos excedentes para a esquerda + - [ ] remove(item) - busca pelo valor e remove o índice contendo ele (mesmo que esteja em múltiplos lugares) + - [ ] find(item) - busca pelo valor e retorna o primeiro índice com aquele valor, -1 se não encontrar + - [ ] resize(nova_capacidade) // função privada + - quando você atinge o limite da capacidade, redimensone para dobrar a capacidade + - quando estiver usando pop() em um item, se o tamanho for 1/4 da capacidade, redimensionar para a metade da capacidade + - [ ] Tempo + - O(1) para adicionar/remover no final (amortizado para alocações para mais espaço), índice ou atualização + - O(n) para inserir/remover em algum outro lugar + - [ ] Espaço + - contíguo na memória, então proximidade ajuda no desempenho + - espaço necessário = (capacidade do array, a qual é >= n) * tamanho do item, mas mesmo que seja 2n, ainda será O(n) + +- ### Listas Ligadas + - [ ] Descrição: + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) (listas ligadas individualmente (vídeo)) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) (CS 61B - Listas Ligadas (vídeo)) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C (vídeo)) + - não o vídeo inteiro, apenas partes sobre estrutura de nodes (nós) e alocação de memória. + - [ ] Listas Ligadas vs Arrays: + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamental: Listas Ligadas vs Arrays (vídeo)) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) (No Mundo Real: Listas Ligadas vs Arrays (vídeo)) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) (por que você deve evitar listas ligadas (vídeo)) + - [ ] Peguei vocês: você precisa de conhecimento de ponteiro para ponteiro: + (para quando você passar um ponteiro para uma funcção que poderá mudar o endereço para o qual o ponteiro aponta) + Essa página é só para ter uma noção sobre ponteiro para ponteiro. Eu não recomendo o estilo transversal dessa lista. Legibilidade e manutenção sofrem devido à engenhosidade. + - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) (Ponteiros para Ponteiros) + - [ ] implementar (eu fiz com e sem ponteiro de cauda, ponteiro que aponta para o último node (nó) da lista): + - [ ] size() - retorna o número de elementos de dados na lista + - [ ] empty() - boleano retorna verdadeiro se estiver vazio + - [ ] value_at(índice) - retorna o valor do item n (começando no 0 para o primeiro) + - [ ] push_front(valor) - adiciona um item no início da lista, logo antes do seu atual primeiro elemento + - [ ] pop_front() - remove o item do início da lista e retorna o seu valor + - [ ] push_back(valor) - adiciona um item no final da lista + - [ ] pop_back() - remove um item do final e retorna seu valor + - [ ] front() - obtém valor do item que está no início da lista + - [ ] back() - obtém valor do item que está no final da lista + - [ ] insert(índice, valor) - insere "valor" no "índice", e então o item atual naquele índice é apontado pelo novo item no "índice" + - [ ] erase(índice) - remove o node (nó) no índice fornecido + - [ ] value_n_from_end(n) - retorna o valor do node (nó) na posição n a partir do final da lista + - [ ] reverse() - reverte a lista + - [ ] remove_value(valor) - remove o primeiro item na lista com esse valor + - [ ] Listas Ligadas Duplamente + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) (Descrição (vídeo)) + - Não há necessidade de implementar - ### Stack - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) (Usando Stacks Último a Entrar Primeiro a Sair (vídeo)) + - [ ] Não implementarei. Implementar com array é trivial. -- ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) +- ### Queue (Fila) + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) (Usando queues FIFO(Primeiro a entrar, último a sair) (vídeo)) - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) + - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) (Buffer circular/Primeiro a entrar, último a sair) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) (Queues com Prioridade (vídeo)) + - [ ] Implementar usando lista ligada, com ponteiro de cauda (aponta para o último elemento de uma lista): + - enqueue(valor) - adiciona "valor" na posição na cauda (final da lista) + - dequeue() - retorna um valor e remove o elemento menos recentemente adicionado (início da lista)) - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element + - [ ] Implementar usando arrays de tamanho-fixo: + - enqueue(valor) - adiciona um item no final do armazenamento disponível + - dequeue() - retorna um valor e remove um elemento menos recentemente adicionado - empty() - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) - -- ### Hash table + - [ ] Custo: + - uma implementação ruim usando lista ligada na qual você coloca na fila (enqueue) no head (cabeça/início da lista) e tira da fila (dequeue) no tail (cauda/final da lista) seria O(n) + porque você precisaria do penúltimo elemento, causando uma transversal completa a cada dequeue + - enqueue: O(1) (amortizado, lista ligada e array [sondagem]) + - dequeue: O(1) (lista ligada e array) + - empty (vazio): O(1) (lista ligada e array) + +- ### Tabela hash (no português: Tabela de dispersão) - [ ] vídeos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value - - exists(key) - - get(key) - - remove(key) + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) (Hashing com Encadeamento (vídeo)) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Duplicação de Tabela, Karp-Rabin (vídeo)) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Endereçamento Aberto, Hashing Criptográfico (vídeo)) + - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) (PyCon 2010: O Poderoso Dicionário (vídeo) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) ((Avançado) Randomização: Hashing Perfeito & Universal (vídeo)) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) ((Avançado) Hashing perfeito (vídeo)) + + - [ ] Cursos Online: + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) (Compreendendo Funções Hash (vídeo)) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) (Usando Tabelas Hash (vídeo)) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) (Hashing de Suporte (vídeo)) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) (Tabelas Hash de Suporte de Linguagem (vídeo)) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) (Fundamental: Tabelas Hash (vídeo)) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) (Estruturas de Dados (vídeo)) + - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) (Problema da Lista Telefônica (vídeo) ) + - [ ] tabelas hash distribuídas: + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) (Uploads Instantâneos E Otimização de Armazenamento no Dropbox (vídeo)) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) (Tabelas Hash Distribuídas (vídeo)) + + - [ ] implementar com array usando sondagem linear + - hash(k, m) - m é o tamanho da tabela hash + - add(chave, valor) - se a chave já existe, atualizar o valor + - exists(chave) + - get(chave) + - remove(chave) ## Mais Conhecimento -- ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion - -- ### Bitwise operations - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) - - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) +- ### Busca binária + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) (Busca Binária (vídeo)) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) (Busca Binária (vídeo)) + - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) (detalhes) + - [ ] Implementar: + - busca binária (em um array ordenado de números inteiros) + - busca binária usando recursividade + +- ### Lógica binária + - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) (Folha de consultas sobre Bits) - você deve conhecer várias das potências de 2 de (2^1 até 2^16 e 2^32) + - [ ] Consiga um bom entendimento sobre manipular bits com: &, |, ^, ~, >>, << + - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) (palavras) + - [ ] Boa introdução: + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) (Manipulação de Bit (vídeo)) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) (Tutorial de Programação em C 2-10: Operadores Binários (vídeo)) + - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) (Manipulação de Bit) + - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) (Lógica Binária) + - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) (Snippets/Fragmentos de código, um tipo de cheatsheet (folha de consultas)) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: - - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: - - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: - - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) (Interativo) + - [ ] Complemento de 2s e 1s + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) (Binário: Vantagens & Desvantagens (Por Que Usamos Complemento de 2s) (vídeo)) + - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) (Complemento de 1s) + - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) (Complemento de 2s) + - [ ] contagem de bits fixos + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) (4 maneiras de contar bits em um byte (vídeo)) + - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) (Contagem de Bits) + - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) (Como Contar O Número De Bits Fixos Em um Número inteiro de 32 bits) + - [ ] arredondar para a próxima potência de 2: + - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) (Arredondar Para Cima Para A Próxima Potência De Dois) + - [ ] trocar valores: + - [Swap](http://bits.stephan-brumme.com/swap.html) (Trocar) + - [ ] valor absoluto: + - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) (Número Inteiro Absoluto) ## Trees @@ -687,7 +687,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: + - [ ] Implementar: - [ ] insert // insert value into tree - [ ] get_node_count // get count of values stored - [ ] print_values // prints the values in the tree, from min to max @@ -781,7 +781,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) -- [ ] Implement: +- [ ] Implementar: - [ ] Mergesort: O(n log n) average and worst case - [ ] Quicksort O(n log n) average case - Selection sort and insertion sort are both O(n^2) average and worst case From 61b0fe6015b25c0aa795cd8fd5721bdf12691f37 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Wed, 5 Apr 2017 18:15:05 -0300 Subject: [PATCH 073/236] fixed typo --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7c0d252046..670172bc77 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -151,7 +151,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est ## Por que usar? Quando eu comecei esse projeto, eu não sabia diferenciar memória dinâmica de memória estática, não sabia notação Big-O, árvores, ou como percorrer um gráfico. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. -Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por baixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. +Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por debaixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. É um longo plano. Você vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. From 3936780727a4988d3d0f78dc16a05c400e0c8272 Mon Sep 17 00:00:00 2001 From: Benjamin Reynolds Date: Thu, 13 Apr 2017 11:36:58 -0500 Subject: [PATCH 074/236] Fix a few broken markdown links Sometime in the last month or so several markdown links broke across all of github, likely due to a change to the way that they parse markdown. This PR fixes the affected links that I found here. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c2f9bbb72e..5fa8bf9363 100644 --- a/README.md +++ b/README.md @@ -466,9 +466,9 @@ Why code in all of these? I may not have time to do all of these for every subject, but I'll try. You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) + - [C](https://github.com/jwasham/practice-c) + - [C++](https://github.com/jwasham/practice-cpp) + - [Python](https://github.com/jwasham/practice-python) You don't need to memorize the guts of every algorithm. From 108e481d2f3a491feaca2ff23d2b3308d25c800e Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Sun, 16 Apr 2017 15:32:18 -0700 Subject: [PATCH 075/236] Follow-up to #181: Add the System Design Primer --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 5fa8bf9363..35b68cc29e 100644 --- a/README.md +++ b/README.md @@ -1271,7 +1271,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - For even more, see "Mining Massive Datasets" video series in the Video Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) + - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - flow: 1. Understand the problem and scope: From c854c4d458794fa4df250a5c55fcb2e27f12bdc2 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Sun, 16 Apr 2017 15:43:56 -0700 Subject: [PATCH 076/236] Add link to Interactive Coding Interview Challenges in Python --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 5fa8bf9363..5136d8f281 100644 --- a/README.md +++ b/README.md @@ -1406,6 +1406,9 @@ Challenge sites: - [InterviewBit](https://www.interviewbit.com/invite/icjf) - [Sphere Online Judge (spoj)](http://www.spoj.com/) +Challenge repos: +- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) + Mock Interviews: - [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) From a54305ae6eeb855fb3217adbbf495bfb5e40c190 Mon Sep 17 00:00:00 2001 From: Anand Amrit Raj Date: Wed, 19 Apr 2017 01:17:19 +0530 Subject: [PATCH 077/236] =?UTF-8?q?Fix=20typo,=20=E0=A4=9A=E0=A4=BE?= =?UTF-8?q?=E0=A4=B2=E0=A4=95=20(Driver)=20to=20=E0=A4=9A=E0=A4=BE?= =?UTF-8?q?=E0=A4=B2=E0=A4=BE=E0=A4=95(Genius).?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fixed spellings of various words on lines 152 and 153. --- README-hi.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-hi.md b/README-hi.md index 855eeebbdc..8845f947a8 100644 --- a/README-hi.md +++ b/README-hi.md @@ -148,9 +148,9 @@ memory" का एरर न दे, और तब मुजे कोई वै ![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) -## कभीबी आप चालक नहीं हो ऐसा ना सोचो +## कभी भी आप चालाक नहीं हो ऐसा ना सोचो -- गोगल के अभियंता चालक होते हें, पर बहोत लोगो असुरक्षा होती हे की वो नहीं चालक नहीं हें, जबकि वो गूगल में काम करते हें! +- गोगल के अभियंता चालाक होते हें, पर बहुत लोगो असुरक्षा होती है की वो चालाक नहीं हैं, जबकि वो गूगल में काम करते हैं! - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) ## गूगल के बारे में From 33902636542887236a6772ada59bceff0a5e3d47 Mon Sep 17 00:00:00 2001 From: Sourabh Mhaisekar Date: Mon, 24 Apr 2017 12:34:02 +0530 Subject: [PATCH 078/236] Update README-hi.md --- README-hi.md | 86 ++++++++-------------------------------------------- 1 file changed, 12 insertions(+), 74 deletions(-) diff --git a/README-hi.md b/README-hi.md index 8845f947a8..fb986aa3c2 100644 --- a/README-hi.md +++ b/README-hi.md @@ -6,10 +6,11 @@ ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -यह लम्बी सूची **गूगल कोचिंग नोट्स** से उद्धरण एव विस्तारित की गयी हैं, ताकि इन बातो को आपको पता चल सके. मैंने आपके इंटरव्यू में मदद कर सकने वाले कुछ अतिरिक्त विषय सूचि के, आखिर में डाले है. +यह सामुग्री नये सॉफ्टवेयर इंजिनियर या जो सॉफ्टवेयर/वेब डेवलपमेंट से सॉफ्टवेर इंजीनियरिंग (जहा कंप्यूटर साइंस का ज्ञान जरुरी हे) में प्रवेश करना चाहते हे उनके लिए हे. अगर आपके पास अनेक वर्षो का अनुभव हैं तो आपका इंटरव्यू कठिन हो सकता हैं. -अनेक विषय, **स्टीव येग्गे** की "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" से हैं. +अगर आपके पास कई सालो का सॉफ्टवेर/वेब डेवलपमेंट का अनुभव हैं तो ध्यान दे की बड़ी कंपनिया जैसे गूगल, Amzaon, फेसबुक और माइक्रोसॉफ्ट सॉफ्टवेर इंजीनियरिंग सॉफ्टवेर/वेब डेवलपमेंट से अलग समज़ती हैं, और आपको कंप्यूटर साइंस का ज्ञान होना जरुरी हैं +अगर आपको रिलायबिलिटी इंजिनियर या सिस्टम इंजिनियर बनना हैं तो वैकल्पिक सूचि से ज्यादा अद्धयन करे. --- ## अनुक्रमणिका @@ -55,7 +56,7 @@ - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - [गार्बेज कलेक्शन](#garbage-collection) - [काशेस](#caches) - - [Processes and Threads](#processes-and-threads) + - [प्रोसेस और थ्रेड](#processes-and-threads) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) - [Papers](#papers) - [Unicode](#unicode) @@ -105,8 +106,6 @@ ## इसका उपयोग क्यू करे? -मैं यह योजना का अनुपालन गूगल इनेर्विएव के तयारी के लिए कर रहा हूँ. मैं १९९७ से वेब, सर्विसेज और स्टार्टअप का निर्माण कर रहा हूँ. मेरे पास संगणक शात्र की पदवी ना होक अर्थशात्र की पदवी हैं. मैं अपने कैरियर में बहुत सफल रहा हूँ, पर मुजे गूगल में काम करने की इच्छा हें. मैं एक बड़े सिस्टम में प्रगति और कंप्यूटर प्रणालियों की एक असली समझ प्राप्त करना चाहते हु, अल्गोरिथम की निपुणता, डाटा स्ट्रक्चर का निष्पादन, -लो-लेवल भाषाए, और वो कैसे काम करती हें. और अगर आपको एनमेंसे किसी की जानकारी नहीं हे तो गूगल आपको नियुन्क्त नहीं करेगा. मैंने जब ये परियोजना शुरू की, तब मैं स्टैक और हीप में फरक नहीं जनता था, मुजे नहीं पता था की Big-O क्या हे, ट्रीज क्या हे, या ग्राफ को पार कैसे करते हैं. अगर मुजे छाटने का अल्गोरिथम लिखना पड़ता तो मैं आपको ये बता सकता हु के वो इतना ख़ास नहीं होगा. जो भी डाटा स्ट्रक्चर का मैंने उपयोग किया वो भाषा में समाविष्ट था, और वो कैसे काम करता हे उसकी कोई जानकारी मुजे नहीं थी. मुजे कभी मेमोरी का संचालन नहीं करता पड़ा, जबतक मेरी चलाई कोई प्रोसेस "out of memory" का एरर न दे, और तब मुजे कोई वैकल्पिक हल धुन्दाना पड़ता था. मैंने मेरी जिन्दगी में बहोत कम मुल्ती-डायमेंशनल ऐरे और बहोत सारे अस्सोसिअतिव् ऐरे का उपयोग किया हे, पर मैंने कोई भी डाटा स्ट्रक्चर शुरू से नहीं लिखा था. पर इस अध्ययन योजना का उपयोग करने बाद मेरा नौकरी लगाने का आत्मविश्वास बहोत बढ़ा हें. यह एक लम्बी योजना हें. यह मेरे लिए बहोत महीनोतक चलेगी. अगर आपको ईंमैसे कुछ पता हैं तो आपको कम वक्त लगेगा. @@ -122,54 +121,11 @@ memory" का एरर न दे, और तब मुजे कोई वै [Github-flavored markdown की अधिक जानकारी](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## गूगली मूड में आ जाएँ - -"[फ्यूचर गूगलर](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" साइन की एक (या दो) प्रिंट निकाले और अपने पुरस्कार को आपने नजरो के सामने रखे. - -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## क्या मुजे नौकरी मिली? - -मैंने अभीतक प्रयुक्त नहीं किया हें. - -मुजे अभीभी कुछ दींन हे ये सूचि समाप्त करने के लिए, और आगे पुरे हफ्ते से में पूरा दिनप्रोग्रामिंग प्रश्न करने वाला हु. ये कुछ हफ्ते तक चलेगा और फिर मैं मेरे रेफेरेल जो की मैं फेब्रुअरी से रखा हे उससे नौकरी का अर्ज दूंगा. - - Thanks for the referral, JP. - - -## मेरे साथ चले - -मैं एक सफ़र पर हु, मेरे साथ चलिए मेरे ब्लॉग से साथ [GoogleyAsHeck.com](https://googleyasheck.com/) - -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - ## कभी भी आप चालाक नहीं हो ऐसा ना सोचो - गोगल के अभियंता चालाक होते हें, पर बहुत लोगो असुरक्षा होती है की वो चालाक नहीं हैं, जबकि वो गूगल में काम करते हैं! - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) -## गूगल के बारे में - -- [ ] छात्रों के लिए - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] सर्च कैसे काम करता हे: - - [ ] [सर्च का विकास (विडियो)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [सर्च कैसे काम करता हैं - एक कहानी](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [सर्च कैसे काम करता हैं](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [सर्च कैसे काम करता हैं - मैट कट्ट्स (विडियो)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [कैसे गूगल अपने सर्च एल्गोरिथ्म में सुधार करता है (विडियो)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] शृंखला: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [हमारी जरूरत पता लगाने के लिए गूगल का गुप्त अध्ययन ](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [गूगल सर्च आपका अगला दिमाग होगा](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [Demis Hassabis का गहरा मन](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [पुष्तक: गूगल कैसे काम करता हैं](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google घोषणा - ओक्टोबर २०१६ (विडियो)](https://www.youtube.com/watch?v=spDg-Q7zmcM) - ## विडियो संसाधनों के बारे में कुछ विडियो सिर्फ Coursera, EdX, or Lynda.com के वर्ग में दाखिला लेने का बाद ही उपलब्ध हैं. उन्हें MOOC कहा जाता हैं. @@ -180,35 +136,17 @@ It is free to do so, but sometimes the classes are not in session so you have to ## इंटरव्यू प्रकिया और साधारण इंटरव्यू तयारी -- [ ] विडियो: - - [ ] [गूगल में कैसे काम करे - उमीदवार अनुशिक्षण सत्र (विडियो)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [गूगल भर्तीकर्ताओं की तकनीकी इंटरव्यू टिप्स (विडियो)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [गूगल में कैसे काम करे: तकनीकी रिज्यूमे तयारी (विडियो)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] लेख: - - [ ] [तिन कदमोमे गूगलर बने](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [गूगल में वो नौकरी लो](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(बहोत पुराना)_ [गूगल में नौकरी कैसे ले, इन्तेविएव प्रश्न, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [फोन स्क्रीन वाले सवाल](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] अतिरिक्त (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (विडियो)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (विडियो)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] बड़े ४ मैं नौकरी कैसे ले: - - [ ] ['बड़े ४ मैं नौकरी कैसे ले - Amazon, Facebook, Google और Microsoft' (विडियो)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [गूगल इंटरव्यू में असफलता](http://alexbowe.com/failing-at-google-interviews/) +[ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) +[ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) +[ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) +[ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (विडियो)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (विडियो)](https://www.youtube.com/watch?v=aClxtDcdpsQ) +- [ ] बड़े ४ मैं नौकरी कैसे ले: + - [ ] ['बड़े ४ मैं नौकरी कैसे ले - Amazon, Facebook, Google और Microsoft' (विडियो)](https://www.youtube.com/watch?v=YJZCUhxNCv8) ## इंटरव्यू के लिए एक संगणक भाषा चुने -मैं इसके बारे में इस छोटे से लेख लिखा था: [महत्वपूर्ण: गूगल इंटरव्यू के लिए एक भाषा चुनें](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - इंटरव्यू मैं आप कोंसिभी एक भाषा जिसमे आप आरामदायक हो वो चुन सकते हैं, पर गूगल के लिए निम्नलिखित भाषाएँ अच्छी रहेगी: - C++ From 0fe38af0be58f8c10bab1ab1d756eda32aa944db Mon Sep 17 00:00:00 2001 From: jun-Sogang Date: Sat, 29 Apr 2017 15:52:18 +0900 Subject: [PATCH 079/236] =?UTF-8?q?##=EC=98=81=EC=83=81=20=EC=9E=90?= =?UTF-8?q?=EB=A3=8C=EC=97=90=20=EA=B4=80=ED=95=98=EC=97=AC=20->=20##=20?= =?UTF-8?q?=EC=98=81=EC=83=81=20=EC=9E=90=EB=A3=8C=EC=97=90=20=EA=B4=80?= =?UTF-8?q?=ED=95=98=EC=97=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- translations/README-ko.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ko.md b/translations/README-ko.md index b74f1cac4c..8401d9135c 100644 --- a/translations/README-ko.md +++ b/translations/README-ko.md @@ -253,7 +253,7 @@ I'm in the queue right now. Hope to interview soon. ## 비디오 자료 -##영상 자료에 관하여 +## 영상 자료에 관하여 몇몇 영상들은 Cousera, Edx, Lynda.com 클래스에 등록하여야만 시청이 가능합니다. 이것들은 MOOCs라고 불리는데요. 강의가 없는 경우에는 몇 달 동안 기다려야 할 수도 있습니다. Lynda.com 강좌들은 무료가 아닙니다. @@ -499,7 +499,7 @@ OR: 앞에서도 언급했듯이 나는 불필요하게 많은 것을 공부하려고 했고, 내 카드의 내용들은 어셈블리 언어와 Python의 자잘한 지식들부터 기계 학습과 통계학까지 넘나들게 되었다. 결국 구글이 요구하는 것보다 훨씬 멀리 가버리고 말았다. -**flashcard에 대한 참고사항:** 답을 할 수 있더라도 처음부터 안다고 표시하지 말자. 정확히 알기 전까지는 같은 카드를 보고 여러 번 답변할 수 있어야한다. +**flashcard에 대한 참고사항:** 답을 할 수 있더라도 처음부터 안다고 표시하지 말자. 정확히 알기 전까지는 같은 카드를 보고 여러 번 답변할 수 있어야한다. 반복 학습을 통해 해당 지식은 당신의 뇌에 깊이 각인될 것이다. From 553a5505b73f4c10748ec35fd9e699dd6d45b8e4 Mon Sep 17 00:00:00 2001 From: Kishu Agarwal Date: Sat, 6 May 2017 19:54:12 +0530 Subject: [PATCH 080/236] Add HackerEarth to list of challenge sites --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c4aa6fd129..af5e7abbcc 100644 --- a/README.md +++ b/README.md @@ -1400,6 +1400,7 @@ Challenge sites: - [TopCoder](https://www.topcoder.com/) - [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) - [Codewars](http://www.codewars.com) +- [HackerEarth](https://www.hackerearth.com/) - [HackerRank](https://www.hackerrank.com/) - [Codility](https://codility.com/programmers/) - [InterviewCake](https://www.interviewcake.com/) From 765c6b01a51e8cfde94ecc397629b0f192cc9009 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sat, 6 May 2017 10:34:01 -0700 Subject: [PATCH 081/236] Fixed link. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index af5e7abbcc..b3a7d6221d 100644 --- a/README.md +++ b/README.md @@ -1070,7 +1070,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) - The Dynamo paper kicked off the NoSQL revolution - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf) + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) From 2cd6b5121ce73840c54fd90ce0987786e7efb05b Mon Sep 17 00:00:00 2001 From: John Washam Date: Fri, 12 May 2017 20:54:11 -0700 Subject: [PATCH 082/236] Added PIE Java project link. --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b3a7d6221d..6b59e1c0c1 100644 --- a/README.md +++ b/README.md @@ -280,7 +280,9 @@ This is a shorter list than what I used. This is abbreviated to save you time. If you have tons of extra time: - [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) -- [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) +- [ ] Elements of Programming Interviews (Java version) + - [book](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) + - [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews) ### Computer Architecture From db7e168612607e2b1c49f7681037a636ae87c554 Mon Sep 17 00:00:00 2001 From: keepgoing147 Date: Tue, 16 May 2017 10:39:49 +0800 Subject: [PATCH 083/236] fix typo: Unxi => Unix --- translations/README-cn.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-cn.md b/translations/README-cn.md index 4cbb4b0e07..fbc082d318 100644 --- a/translations/README-cn.md +++ b/translations/README-cn.md @@ -1174,7 +1174,7 @@ - [ ] C++ Primer Plus, 6th Edition -- [ ] [《Unxi 环境高级编程》 The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) +- [ ] [《Unix 环境高级编程》 The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - [ ] [《编程珠玑》 Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) From c17cf0f6a09aa88b2f9d41a81cb3141da7de30ba Mon Sep 17 00:00:00 2001 From: Tai Le Date: Sat, 20 May 2017 14:12:25 +0800 Subject: [PATCH 084/236] Fix relative links --- translations/README-vn.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/translations/README-vn.md b/translations/README-vn.md index a1fcca9003..64acb76652 100644 --- a/translations/README-vn.md +++ b/translations/README-vn.md @@ -1,7 +1,7 @@ # Coding Interview University Bản gốc: -* [English](./README.md) +* [English](/README.md) Tác giả gốc: [John Washam](https://github.com/jwasham) @@ -259,7 +259,7 @@ Xem thêm về các sự lựa chọn: - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[Xem tài liệu về các ngôn ngữ ở đây](programming-language-resources.md) +[Xem tài liệu về các ngôn ngữ ở đây](/programming-language-resources.md) Bạn sẽ thấy vài tài liệu về C, C++ và Python bên dưới, vì tôi đang học chúng. Ngoài ra còn có một vài đầu sách nữa, xem ở cuối. @@ -316,12 +316,11 @@ Nếu bạn có nhiều thời gian (tôi đã muốn đọc quyển này): ### Từng ngôn ngữ riêng biệt **Bạn phải chọn một ngôn ngữ cho cuộc phỏng vấn (xem ở trên).** Đây là các khuyến nghị của tôi. Tôi không có tài liệu cho tất cả các ngôn ngữ lập trình, vậy nên, đóng góp từ bạn luôn được chào đón. - Nếu bạn muốn đọc xuyên suốt một trong những quyển sách này, bạn nên có kiến thức về cấu trúc dữ liệu và giải thuật. Bạn cũng nên luyện tập giải toán lập trình. **Bạn có thể bỏ qua bài giảng video trong project này**, trừ khi bạn muốn tự đánh giá lại kiến thức của mình. -[Đây là tài liệu ngôn ngữ lập trình bổ sung.](programming-language-resources.md) +[Đây là tài liệu ngôn ngữ lập trình bổ sung.](/programming-language-resources.md) ### C++ @@ -660,7 +659,7 @@ Hãy viết code trên bảng đen hoặc trên giấy. Đừng sử dụng máy - Tìm kiếm nhị phân sử dụng đệ quy - ### Toán tử trên bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - bạn nên thuộc lòng nhiều lũy thừa của 2 (từ 2^1 đến 2^16 và 2^32) + - [ ] [Bits cheat sheet](/extras/cheat%20sheets/bits-cheat-cheet.pdf) - bạn nên thuộc lòng nhiều lũy thừa của 2 (từ 2^1 đến 2^16 và 2^32) - [ ] Hãy chuẩn bị một nền tảng tốt về các biến đổi bit với các toán tử: &, |, ^, ~, >>, << - [ ] [words (thuật ngữ trong kiến trúc máy tính)](https://en.wikipedia.org/wiki/Word_(computer_architecture) ) - [ ] Bài mở đầu: @@ -1283,7 +1282,7 @@ Bạn sẽ biết thêm nhiều ứng dụng của đồ thị trong sách của - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - Để có thêm thông tin, xem seri "Mining Massive Datasets" trong seri video. - [ ] Thực hành thêm về thiết kế hệ thống: Sau đây là vài ý tưởng có thể thực hiện trên giấy, mỗi ý tưởng đều có tư liệu đi cùng để hiểu rõ nó thực thi thế nào trong thế giới thực. [Thiết kế hệ thống bới HiredInTech(System Design from HiredInTech)](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - [cheat sheet](/extras/cheat%20sheets/system-design.pdf) - Các bước thực hiện: 1. Hiểu vấn đề và phạm vi của vấn đề: - Định nghĩa các trường hợp sử dụng cụ thể với sự trợ giúp từ người phỏng vấn From 3f58964356d73af6951cade6b646f57275d6a6c8 Mon Sep 17 00:00:00 2001 From: Tai Le Date: Sat, 20 May 2017 14:17:45 +0800 Subject: [PATCH 085/236] Change Vietnam language code in translation file name --- README.md | 10 +++++----- translations/{README-vn.md => README-vi.md} | 0 2 files changed, 5 insertions(+), 5 deletions(-) rename translations/{README-vn.md => README-vi.md} (100%) diff --git a/README.md b/README.md index 57843d6b15..e391652e18 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,18 @@ # Coding Interview University -> I originally created this as a short to-do list of study topics for becoming a software engineer, -> but it grew to the large list you see today. After going through this study plan, [I got hired -> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> I originally created this as a short to-do list of study topics for becoming a software engineer, +> but it grew to the large list you see today. After going through this study plan, [I got hired +> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! > You probably won't have to study as much as I did. Anyway, everything you need is here. > -> The items listed here will prepare you well for in an interview at just about any software company, +> The items listed here will prepare you well for in an interview at just about any software company, > including the giants: Amazon, Facebook, Google or Microsoft. > > *Best of luck to you!* Translations: - [中文版本](translations/README-cn.md) -- [Tiếng Việt - Vietnamese](translations/README-vn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) - translations in progress: - [Español](https://github.com/jwasham/coding-interview-university/issues/80) - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) diff --git a/translations/README-vn.md b/translations/README-vi.md similarity index 100% rename from translations/README-vn.md rename to translations/README-vi.md From 0ebcdf99afa2677ef3e785d847a3cdc7eddf6015 Mon Sep 17 00:00:00 2001 From: Tai Le Date: Sat, 20 May 2017 14:12:25 +0800 Subject: [PATCH 086/236] Fix relative links --- translations/README-vn.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/translations/README-vn.md b/translations/README-vn.md index 74a7366058..54043937a6 100644 --- a/translations/README-vn.md +++ b/translations/README-vn.md @@ -1,7 +1,7 @@ # Tự ôn tập phỏng vấn về lập trình (Coding Interview University) Bản gốc: -* [English](./README.md) +* [English](/README.md) Tác giả gốc: [John Washam](https://github.com/jwasham) @@ -263,7 +263,7 @@ Xem thêm về các sự lựa chọn: - http://blog.codingforinterviews.com/best-programming-language-jobs/ - https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview -[Xem tài liệu về các ngôn ngữ ở đây](programming-language-resources.md) +[Xem tài liệu về các ngôn ngữ ở đây](/programming-language-resources.md) Bạn sẽ thấy vài tài liệu về C, C++ và Python bên dưới, vì tôi đang học chúng. Ngoài ra còn có một vài đầu sách nữa, xem ở cuối. @@ -320,12 +320,11 @@ Nếu bạn có nhiều thời gian (tôi đã muốn đọc quyển này): ### Từng ngôn ngữ riêng biệt **Bạn phải chọn một ngôn ngữ cho cuộc phỏng vấn (xem ở trên).** Đây là các khuyến nghị của tôi. Tôi không có tài liệu cho tất cả các ngôn ngữ lập trình, vậy nên, đóng góp từ bạn luôn được chào đón. - Nếu bạn muốn đọc xuyên suốt một trong những quyển sách này, bạn nên có kiến thức về cấu trúc dữ liệu và giải thuật. Bạn cũng nên luyện tập giải toán lập trình. **Bạn có thể bỏ qua bài giảng video trong project này**, trừ khi bạn muốn tự đánh giá lại kiến thức của mình. -[Đây là tài liệu ngôn ngữ lập trình bổ sung.](programming-language-resources.md) +[Đây là tài liệu ngôn ngữ lập trình bổ sung.](/programming-language-resources.md) ### C++ @@ -664,7 +663,7 @@ Hãy viết code trên bảng đen hoặc trên giấy. Đừng sử dụng máy - Tìm kiếm nhị phân sử dụng đệ quy - ### Toán tử trên bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - bạn nên thuộc lòng nhiều lũy thừa của 2 (từ 2^1 đến 2^16 và 2^32) + - [ ] [Bits cheat sheet](/extras/cheat%20sheets/bits-cheat-cheet.pdf) - bạn nên thuộc lòng nhiều lũy thừa của 2 (từ 2^1 đến 2^16 và 2^32) - [ ] Hãy chuẩn bị một nền tảng tốt về các biến đổi bit với các toán tử: &, |, ^, ~, >>, << - [ ] [words (thuật ngữ trong kiến trúc máy tính)](https://en.wikipedia.org/wiki/Word_(computer_architecture) ) - [ ] Bài mở đầu: @@ -1287,7 +1286,7 @@ Bạn sẽ biết thêm nhiều ứng dụng của đồ thị trong sách của - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - Để có thêm thông tin, xem seri "Mining Massive Datasets" trong seri video. - [ ] Thực hành thêm về thiết kế hệ thống: Sau đây là vài ý tưởng có thể thực hiện trên giấy, mỗi ý tưởng đều có tư liệu đi cùng để hiểu rõ nó thực thi thế nào trong thế giới thực. [Thiết kế hệ thống bới HiredInTech(System Design from HiredInTech)](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - [cheat sheet](/extras/cheat%20sheets/system-design.pdf) - Các bước thực hiện: 1. Hiểu vấn đề và phạm vi của vấn đề: - Định nghĩa các trường hợp sử dụng cụ thể với sự trợ giúp từ người phỏng vấn From d2491c328330ab25d1effb5028b9753bf33b55b4 Mon Sep 17 00:00:00 2001 From: Tai Le Date: Sat, 20 May 2017 14:17:45 +0800 Subject: [PATCH 087/236] Change Vietnam language code in translation file name --- README.md | 10 +++++----- translations/{README-vn.md => README-vi.md} | 0 2 files changed, 5 insertions(+), 5 deletions(-) rename translations/{README-vn.md => README-vi.md} (100%) diff --git a/README.md b/README.md index 6b59e1c0c1..62f8f6132d 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,18 @@ # Coding Interview University -> I originally created this as a short to-do list of study topics for becoming a software engineer, -> but it grew to the large list you see today. After going through this study plan, [I got hired -> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> I originally created this as a short to-do list of study topics for becoming a software engineer, +> but it grew to the large list you see today. After going through this study plan, [I got hired +> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! > You probably won't have to study as much as I did. Anyway, everything you need is here. > -> The items listed here will prepare you well for in an interview at just about any software company, +> The items listed here will prepare you well for in an interview at just about any software company, > including the giants: Amazon, Facebook, Google or Microsoft. > > *Best of luck to you!* Translations: - [中文版本](translations/README-cn.md) -- [Tiếng Việt - Vietnamese](translations/README-vn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) - translations in progress: - [Español](https://github.com/jwasham/coding-interview-university/issues/80) - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) diff --git a/translations/README-vn.md b/translations/README-vi.md similarity index 100% rename from translations/README-vn.md rename to translations/README-vi.md From 1fce32f7630e611999c567d7750716b2bdee21b9 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Sun, 21 May 2017 20:33:46 -0500 Subject: [PATCH 088/236] Update README Took the original README and started a clean translation --- README-es.md | 3990 +++++++++++++++++++++++++------------------------- 1 file changed, 1971 insertions(+), 2019 deletions(-) diff --git a/README-es.md b/README-es.md index 38ff7a8dd4..1ba5ce76d6 100644 --- a/README-es.md +++ b/README-es.md @@ -1,2019 +1,1971 @@ -# Google Interview University - -Version original: [Inglés](README.md) - -## Qué es? - -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de Computadores) a ingeniero de software en Google. - -![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) - -This long list has been extracted and expanded from **Google's coaching notes**, so these are the things you need to know. -There are extra items I added at the bottom that may come up in the interview or be helpful in solving a problem. Many items are from -Steve Yegge's "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" and are reflected -sometimes word-for-word in Google's coaching notes. - -I've pared down what you need to know from what Yegge recommends. I've altered Yegge's requirements -from information received from my contact at Google. This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. -[Read more here](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). - -If you have many years of software/web development experience, note that Google views software engineering as -different from software/web development and they require computer science knowledge. - -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). - ---- - -## Table of Contents - -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Get in a Googley Mood](#get-in-a-googley-mood) -- [Did I Get the Job?](#did-i-get-the-job) -- [Follow Along with Me](#follow-along-with-me) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Google](#about-google) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort -- [Graphs](#graphs) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Dynamic Programming](#dynamic-programming) - - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) - - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - - [Fast Fourier Transform](#fast-fourier-transform) - - [Bloom Filter](#bloom-filter) - - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) - - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) - - [Machine Learning](#machine-learning) - - [Go](#go) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) - ---- - -## Why use it? - -I'm following this plan to prepare for my Google interview. I've been building the web, building -services, and launching startups since 1997. I have an economics degree, not a CS degree. I've -been very successful in my career, but I want to work at Google. I want to progress into larger systems -and get a real understanding of computer systems, algorithmic efficiency, data structure performance, -low-level languages, and how it all works. And if you don't know any of it, Google won't hire you. - -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. - -But after going through this study plan I have high confidence I'll be hired. It's a long plan. It's going to take me -months. If you are familiar with a lot of this already it will take you a lot less time. - -## How to use it - -Everything below is an outline, and you should tackle the items in order from top to bottom. - -I'm using Github's special markdown flavor, including tasks lists to check progress. - -- [x] Create a new branch so you can check items like this, just put an x in the brackets: [x] - - - Fork a branch and follow the commands below - -`git checkout -b progress` - -`git remote add jwasham https://github.com/jwasham/google-interview-university` - -`git fetch --all` - - Mark all boxes with X after you completed your changes - -`git add . ` - -`git commit -m "Marked x" ` - -`git rebase jwasham/master ` - -`git push --force ` - -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) - -## Get in a Googley Mood - -Print out a "[future Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" sign (or two) and keep your eyes on the prize. - -[![future Googler sign](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## Did I Get the Job? - -I haven't applied yet. - -Right now I'm doing programming problems all day long. That will continue for a few weeks, and then I'll -apply through a referral I've been holding onto since February (yes, February). - - Thanks for the referral, JP. - -## Follow Along with Me - -My story: [Why I Studied Full-Time for 8 Months for a Google Interview](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -I'm on the journey, too. Follow along: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - -## Don't feel you aren't smart enough -- Google engineers are smart, but many have an insecurity that they aren't smart enough, even though they work at Google. -- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - -## About Google - -- [ ] For students - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] How Search Works: - - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [How Search Works - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [How Google makes improvements to its search algorithm (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [How Google Search Dealt With Mobile](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [Google's Secret Study To Find Out Our Needs](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google Search Will Be Your Next Brain](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [The Deep Mind Of Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Book: How Google Works](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Made by Google announcement - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) - -## About Video Resources - -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. - - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. - - -## Interview Process & General Interview Prep - -- [ ] Videos: - - [ ] [How to Work at Google: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [How to Work at Google: Example Coding/Engineering Interview (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [How to Work at Google - Candidate Coaching Session (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Google Recruiters Share Technical Interview Tips (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [How to Work at Google: Tech Resume Preparation (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Articles: - - [ ] [Becoming a Googler in Three Steps](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Get That Job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - all the things he mentions that you need to know are listed below - - [ ] _(very dated)_ [How To Get A Job At Google, Interview Questions, Hiring Process](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Phone Screen Questions](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Prep Courses: - - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - -- [ ] Additional (not suggested by Google but I added): - - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Four Steps To Google Without A Degree](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [How Google Thinks About Hiring, Management And Culture](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] How to Get a Job at the Big 4: - - [ ] ['How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Failing at Google Interviews](http://alexbowe.com/failing-at-google-interviews/) - -## Pick One Language for the Interview - -I wrote this short article about it: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - -You can use a language you are comfortable in to do the coding part of the interview, but for Google, these are solid choices: - -- C++ -- Java -- Python - -You could also use these, but read around first. There may be caveats: - -- JavaScript -- Ruby - -You need to be very comfortable in the language and be knowledgeable. - -Read more about choices: -- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ -- http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview - -[See language resources here](programming-language-resources.md) - -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. - -## Book List - -This is a shorter list than what I used. This is abbreviated to save you time. - -### Interview Prep - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - recommended in Google candidate coaching - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - - recommended on the [Google Careers site](https://www.google.com/about/careers/how-we-hire/interview/) - - If you see people reference "The Google Resume", it was a book replaced by "Cracking the Coding Interview". - -If you have tons of extra time: - -- [ ] [Elements of Programming Interviews](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - all code is in C++, very good if you're looking to use C++ in your interview - - a good book on problem solving in general. - -### Computer Architecture - -If short on time: - -- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somehat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: - - Chapter 2 - Numeric Representation - - Chapter 3 - Binary Arithmetic and Bit Operations - - Chapter 4 - Floating-Point Representation - - Chapter 5 - Character Representation - - Chapter 6 - Memory Organization and Access - - Chapter 7 - Composite Data Types and Memory Objects - - Chapter 9 - CPU Architecture - - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization - -If you have more time (I want this book): - -- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment - -### Language Specific - -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. - -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. - -[Additional language-specific resources here.](programming-language-resources.md) - -### C++ - -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. - -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) - -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. - -### Java - -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): - - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) - -OR: - -- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. - -### Python - -- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ - - -### Optional Books - -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - -- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: - - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - -- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game - -- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - -- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. - - -## Before you Get Started - -This list grew over many months, and yes, it kind of got out of hand. - -Here are some mistakes I made so you'll have a better experience. - -### 1. You Won't Remember it All - -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. - -Read please so you won't make my mistakes: - -[Retaining Computer Science Knowledge](https://googleyasheck.com/retaining-computer-science-knowledge/) - -### 2. Use Flashcards - -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. - -I made a mobile-first website so I could review on my phone and tablet, wherever I am. - -Make your own for free: - -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. - -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. - -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. - -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) - -### 3. Review, review, review - -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. - -Take a break from programming problems for a half hour and go through your flashcards. - -### 4. Focus - -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. - -## What you won't see covered - -This big list all started as a personal to-do list made from Google interview coaching notes. These are prevalent -technologies but were not mentioned in those notes: - -- SQL -- Javascript -- HTML, CSS, and other front-end technologies - -## The Daily Plan - -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. - -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. - -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). - -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) - -I may not have time to do all of these for every subject, but I'll try. - -You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) - -You don't need to memorize the guts of every algorithm. - -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. - -## Prerequisite Knowledge - -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) - -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) - -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] Skiena: - - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) -- [ ] [Cheat sheet](http://bigocheatsheet.com/) - - - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. - -## Data Structures - -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: - - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold - - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds - - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) - -- ### Linked Lists - - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. - - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - -- ### Stack - - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. - -- ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) - - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element - - empty() - - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) - -- ### Hash table - - [ ] Videos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value - - exists(key) - - get(key) - - remove(key) - -## More Knowledge - -- ### Binary search - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion - -- ### Bitwise operations - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) - - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: - - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: - - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: - - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) - -## Trees - -- ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) - - inorder (DFS: left, self, right) - - postorder (DFS: left, right, self) - - preorder (DFS: self, left, right) - -- ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max - - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree - - [ ] is_binary_search_tree - - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none - -- ### Heap / Priority Queue / Binary Heap - - visualized as a tree, but is usually linear in storage (array, linked list) - - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: - - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). - -## Sorting - -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") - - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. - - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) - -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. - -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - -- [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - -- [ ] Merge sort code: - - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: - - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) - -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. - -- [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) - - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - -## Graphs - -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. - -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: - - objects and pointers - - matrix - - adjacency list - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. - -- [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - -- [ ] Graphs (review and more): - - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - -- Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - -- I'll implement: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - -You'll get more graph practice in Skiena's book (see Books section below) and the interview books - -## Even More Knowledge - -- ### Recursion - - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? - - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. - - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: - - [ ] strategy - - [ ] singleton - - [ ] adapter - - [ ] prototype - - [ ] decorator - - [ ] visitor - - [ ] factory, abstract factory - - [ ] facade - - [ ] observer - - [ ] proxy - - [ ] delegate - - [ ] command - - [ ] state - - [ ] memento - - [ ] iterator - - [ ] composite - - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - - [ ] Khan Academy: - - Course layout: - - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Complete and Approximation Algorithms - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik discusses near-optimal solutions to traveling salesman problem: - - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. - -- ### Caches - - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): - - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [reference](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Papers - - These are Google papers and well-known papers. - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 - - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available - - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - -- ### Testing - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) - - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Scheduling - - in an OS, how it works - - can be gleaned from Operating System videos - -- ### Implement system routines - - understand what lies beneath the programming APIs you use - - can you implement them? - -- ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - ---- - -## System Design, Scalability, Data Handling -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations from Yegge: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) -- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) -- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) -- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. -- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) -- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) -- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) -- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) -- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) -- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: - - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) - - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) - - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) - - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) - - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) - - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) - - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) - - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) - - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) - - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) - - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) - - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) - - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) - - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: - - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) - - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) - - [Design a function to return the top k requests during past time interval]( https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf) - - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) - - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) - - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) - - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) - ---- - -## Final Review - - This section will have shorter videos that can you watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. - -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) - - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) - - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) - - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) - - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) - - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) - - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) - - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) - - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) - - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) - - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) - ---- - -## Coding Question Practice - -Now that you know all the computer science topics above, it's time to practice answering coding problems. - -**Coding question practice is not about memorizing answers to programming problems.** - -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: -[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) - -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. - -![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) - -Supplemental: - -- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) -- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) -- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) -- [Exercises for getting better at a given language](http://exercism.io/languages) - -**Read and Do Programming Problems (in this order):** - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - -See [Book List above](#book-list) - -## Coding exercises/challenges - -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. - -- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) -- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) - -Challenge sites: -- [LeetCode](https://leetcode.com/) -- [TopCoder](https://www.topcoder.com/) -- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) -- [Codewars](http://www.codewars.com) -- [HackerRank](https://www.hackerrank.com/) -- [Codility](https://codility.com/programmers/) -- [InterviewCake](https://www.interviewcake.com/) -- [Geeks for Geeks](http://www.geeksforgeeks.org/) -- [InterviewBit](https://www.interviewbit.com/invite/icjf) - -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) - -## Once you're closer to the interview - -- [ ] Cracking The Coding Interview Set 2 (videos): - - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) - -## Your Resume - -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed - - -## Be thinking of for when the interview comes - -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing Google product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? - -## Have questions for the interviewer - - Some of mine (I already may know answer to but want their opinion or team perspective): - -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? - -## Once You've Got The Job - -Congratulations! - -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - -Keep learning. - -You're never really done. - ---- - - ***************************************************************************************************** - ***************************************************************************************************** - - Everything below this point is optional. These are my recommendations, not Google's. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - - ***************************************************************************************************** - ***************************************************************************************************** - ---- - -## Additional Books - -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie -- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option -- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) -- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns -- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) -- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) - -## Additional Learning - -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - -- ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - -- ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: - - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): - - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - -- ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. - - [ ] bash - - [ ] cat - - [ ] grep - - [ ] sed - - [ ] awk - - [ ] curl or wget - - [ ] sort - - [ ] tr - - [ ] uniq - - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) - -- ### Information theory (videos) - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: - - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. - -- ### Parity & Hamming Code (videos) - - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - - [ ] Hamming Code: - - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) - - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - -- ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - -- ### Cryptography - - also see videos below - - make sure to watch information theory videos first - - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): - - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - -- ### Messaging, Serialization, and Queueing Systems - - [ ] [Thrift](https://thrift.apache.org/) - - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - - [ ] [Redis](http://redis.io/) - - [Tutorial](http://try.redis.io/) - - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) - - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) - - [ ] [RabbitMQ](https://www.rabbitmq.com/) - - [Get Startet](https://www.rabbitmq.com/getstarted.html) - - [ ] [Celery](http://www.celeryproject.org/) - - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) - - [ ] [ZeroMQ](http://zeromq.org/) - - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) - - [ ] [ActiveMQ](http://activemq.apache.org/) - - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) - - [ ] [MessagePack](http://msgpack.org/index.html) - - [ ] [Avro](https://avro.apache.org/) - -- ### Fast Fourier Transform - - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) - - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - - [Tutorial](http://billmill.org/bloomfilter-tutorial/) - - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) - -- ### HyperLogLog - - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) - -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. - - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - -- ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - -- ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - -- ### Balanced search trees - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. - - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary - - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. - - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) - - -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - -- ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - -- ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - -- ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - -- ### Treap - - Combination of a binary search tree and a heap - - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) - -- ### Linear Programming (videos) - - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) - -- ### Geometry, Convex hull (videos) - - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - -- ### Discrete math - - see videos below - -- ### Machine Learning - - [ ] Why ML? - - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: - - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: - - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - - Data School: http://www.dataschool.io/ - -- ### Go - - [ ] Videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - --- - -## Additional Detail on Some Subjects - - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? - -- [ ] **Union-Find** - - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) - - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) - - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) - - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) - - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - -- [ ] **More Dynamic Programming** (videos) - - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) - -- [ ] **Advanced Graph Processing** (videos) - - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) - -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) - - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) - -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - -- [ ] **String Matching** - - [ ] Rabin-Karp (videos): - - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) - - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) - - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) - - [ ] Knuth-Morris-Pratt (KMP): - - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - - [ ] Boyer–Moore string search algorithm - - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped - -- [ ] **Sorting** - - - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) - -## Video Series - -Sit back and enjoy. "Netflix and skill" :P - -- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) - -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - -- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - -- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) - -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) - -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) - -- [ ] CSE373 - Analysis of Algorithms (25 videos) - - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) - -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) - -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) - -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) - -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) - -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) - -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) - -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) - -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) - -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) - -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) - -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) - -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - -- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - -- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) - -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) - -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) - -## Computer Science Courses - -- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - +# Coding Interview University + +-Version original: [Inglés](README.md) + +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software pero creció hasta ser la gran lista puedes apreciar actualmente. Después de pasar por este plan de estudios [fui contratado como un Ingeniero de Desarrollo de Software en Amazon(Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> You probably won't have to study as much as I did. Anyway, everything you need is here. +> +> The items listed here will prepare you well for in an interview at just about any software company, +> including the giants: Amazon, Facebook, Google or Microsoft. +> +> *Best of luck to you!* + +Translations: +- [中文版本](translations/README-cn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) +- translations in progress: + - [Español](https://github.com/jwasham/coding-interview-university/issues/80) + - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) + - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) + - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) + - [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) + - [Turkish](https://github.com/jwasham/coding-interview-university/issues/90) + - [French](https://github.com/jwasham/coding-interview-university/issues/89) + - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) + - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) + - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) + - [Korean](https://github.com/jwasham/coding-interview-university/issues/118) + - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) + - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) + - [German](https://github.com/jwasham/coding-interview-university/issues/135) + - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) + - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) + - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) + - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) + +## What is it? + +This is my multi-month study plan for going from web developer (self-taught, no CS degree) to software engineer for a large company. + +![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) + +This is meant for **new software engineers** or those switching from +software/web development to software engineering (where computer science knowledge is required). If you have +many years of experience and are claiming many years of software engineering experience, expect a harder interview. + +If you have many years of software/web development experience, note that large software companies like Google, Amazon, +Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge. + +If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). + +--- + +## Table of Contents + +- [What is it?](#what-is-it) +- [Why use it?](#why-use-it) +- [How to use it](#how-to-use-it) +- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) +- [About Video Resources](#about-video-resources) +- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) +- [Pick One Language for the Interview](#pick-one-language-for-the-interview) +- [Book List](#book-list) +- [Before you Get Started](#before-you-get-started) +- [What you Won't See Covered](#what-you-wont-see-covered) +- [Prerequisite Knowledge](#prerequisite-knowledge) +- [The Daily Plan](#the-daily-plan) +- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) +- [Data Structures](#data-structures) + - [Arrays](#arrays) + - [Linked Lists](#linked-lists) + - [Stack](#stack) + - [Queue](#queue) + - [Hash table](#hash-table) +- [More Knowledge](#more-knowledge) + - [Binary search](#binary-search) + - [Bitwise operations](#bitwise-operations) +- [Trees](#trees) + - [Trees - Notes & Background](#trees---notes--background) + - [Binary search trees: BSTs](#binary-search-trees-bsts) + - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) + - balanced search trees (general concept, not details) + - traversals: preorder, inorder, postorder, BFS, DFS +- [Sorting](#sorting) + - selection + - insertion + - heapsort + - quicksort + - merge sort +- [Graphs](#graphs) + - directed + - undirected + - adjacency matrix + - adjacency list + - traversals: BFS, DFS +- [Even More Knowledge](#even-more-knowledge) + - [Recursion](#recursion) + - [Dynamic Programming](#dynamic-programming) + - [Object-Oriented Programming](#object-oriented-programming) + - [Design Patterns](#design-patterns) + - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) + - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) + - [Caches](#caches) + - [Processes and Threads](#processes-and-threads) + - [Papers](#papers) + - [Testing](#testing) + - [Scheduling](#scheduling) + - [Implement system routines](#implement-system-routines) + - [String searching & manipulations](#string-searching--manipulations) + - [Tries](#tries) + - [Floating Point Numbers](#floating-point-numbers) + - [Unicode](#unicode) + - [Endianness](#endianness) +- [Networking](#networking) +- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) +- [Final Review](#final-review) +- [Coding Question Practice](#coding-question-practice) +- [Coding exercises/challenges](#coding-exerciseschallenges) +- [Once you're closer to the interview](#once-youre-closer-to-the-interview) +- [Your Resume](#your-resume) +- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) +- [Have questions for the interviewer](#have-questions-for-the-interviewer) +- [Once You've Got The Job](#once-youve-got-the-job) + +---------------- Everything below this point is optional ---------------- + +- [Additional Books](#additional-books) +- [Additional Learning](#additional-learning) + - [Compilers](#compilers) + - [Emacs and vi(m)](#emacs-and-vim) + - [Unix command line tools](#unix-command-line-tools) + - [Information theory](#information-theory) + - [Parity & Hamming Code](#parity--hamming-code) + - [Entropy](#entropy) + - [Cryptography](#cryptography) + - [Compression](#compression) + - [Computer Security](#computer-security) + - [Garbage collection](#garbage-collection) + - [Parallel Programming](#parallel-programming) + - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [A*](#a) + - [Fast Fourier Transform](#fast-fourier-transform) + - [Bloom Filter](#bloom-filter) + - [HyperLogLog](#hyperloglog) + - [Locality-Sensitive Hashing](#locality-sensitive-hashing) + - [van Emde Boas Trees](#van-emde-boas-trees) + - [Augmented Data Structures](#augmented-data-structures) + - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Balanced search trees](#balanced-search-trees) + - AVL trees + - Splay trees + - Red/black trees + - 2-3 search trees + - 2-3-4 Trees (aka 2-4 trees) + - N-ary (K-ary, M-ary) trees + - B-Trees + - [k-D Trees](#k-d-trees) + - [Skip lists](#skip-lists) + - [Network Flows](#network-flows) + - [Disjoint Sets & Union Find](#disjoint-sets--union-find) + - [Math for Fast Processing](#math-for-fast-processing) + - [Treap](#treap) + - [Linear Programming](#linear-programming) + - [Geometry, Convex hull](#geometry-convex-hull) + - [Discrete math](#discrete-math) + - [Machine Learning](#machine-learning) +- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Video Series](#video-series) +- [Computer Science Courses](#computer-science-courses) + +--- + +## Why use it? + +When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to +traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. +Every data structure I've ever used was built into the language, and I didn't know how they worked +under the hood at all. I've never had to manage memory unless a process I was running would give an "out of +memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and +thousands of associative arrays, but I've never created data structures from scratch. + +It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time. + +## How to use it + +Everything below is an outline, and you should tackle the items in order from top to bottom. + +I'm using Github's special markdown flavor, including tasks lists to check progress. + +**Create a new branch so you can check items like this, just put an x in the brackets: [x]** + + + Fork a branch and follow the commands below + +`git checkout -b progress` + +`git remote add jwasham https://github.com/jwasham/coding-interview-university` + +`git fetch --all` + + Mark all boxes with X after you completed your changes + +`git add . ` + +`git commit -m "Marked x" ` + +`git rebase jwasham/master ` + +`git push --force ` + +[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) + +## Don't feel you aren't smart enough +- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. +- [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) +- [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) + +## About Video Resources + +Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. +Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. + + I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. + I like using university lectures. + + +## Interview Process & General Interview Prep + +- [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) +- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) +- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) +- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) +- [ ] Cracking The Coding Interview Set 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) +- [ ] How to Get a Job at the Big 4: + - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) + +- [ ] Prep Course: + - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): + - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. + +## Pick One Language for the Interview + +You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: + +- C++ +- Java +- Python + +You could also use these, but read around first. There may be caveats: + +- JavaScript +- Ruby + +You need to be very comfortable in the language and be knowledgeable. + +Read more about choices: +- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ +- http://blog.codingforinterviews.com/best-programming-language-jobs/ + +[See language resources here](programming-language-resources.md) + +You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. + +## Book List + +This is a shorter list than what I used. This is abbreviated to save you time. + +### Interview Prep + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C++ and Java + - this is a good warm-up for Cracking the Coding Interview + - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + +If you have tons of extra time: + +- [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] Elements of Programming Interviews (Java version) + - [book](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) + - [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews) + +### Computer Architecture + +If short on time: + +- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) + - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. + - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. + - These chapters are worth the read to give you a nice foundation: + - Chapter 2 - Numeric Representation + - Chapter 3 - Binary Arithmetic and Bit Operations + - Chapter 4 - Floating-Point Representation + - Chapter 5 - Character Representation + - Chapter 6 - Memory Organization and Access + - Chapter 7 - Composite Data Types and Memory Objects + - Chapter 9 - CPU Architecture + - Chapter 10 - Instruction Set Architecture + - Chapter 11 - Memory Architecture and Organization + +If you have more time (I want this book): + +- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) + - For a richer, more up-to-date (2011), but longer treatment + +### Language Specific + +**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. + +If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. +**You can skip all the video lectures in this project**, unless you'd like a review. + +[Additional language-specific resources here.](programming-language-resources.md) + +### C++ + +I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. + +- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) + +If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. + +### Java + +- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) + - videos with book content (and Sedgewick!): + - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) + - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) + +OR: + +- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) + - by Goodrich, Tamassia, Goldwasser + - used as optional text for CS intro course at UC Berkeley + - see my book report on the Python version below. This book covers the same topics. + +### Python + +- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) + - by Goodrich, Tamassia, Goldwasser + - I loved this book. It covered everything and more. + - Pythonic code + - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ + + +### Optional Books + +**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** + +- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) + - As a review and problem recognition + - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. + - This book has 2 parts: + - class textbook on data structures and algorithms + - pros: + - is a good review as any algorithms textbook would be + - nice stories from his experiences solving problems in industry and academia + - code examples in C + - cons: + - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects + - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have + - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. + - algorithm catalog: + - this is the real reason you buy this book. + - about to get to this part. Will update here once I've made my way through it. + - Can rent it on kindle + - Half.com is a great resource for textbooks at good prices. + - Answers: + - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) + - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) + - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) + +- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) + - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. + - Half.com is a great resource for textbooks at good prices. + - aka CLR, sometimes CLRS, because Stein was late to the game + +- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) + - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but + that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. + +- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ + - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. + - Would rather spend time on coding problems from another book or online coding problems. + + +## Before you Get Started + +This list grew over many months, and yes, it kind of got out of hand. + +Here are some mistakes I made so you'll have a better experience. + +### 1. You Won't Remember it All + +I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going +through my notes and making flashcards so I could review. + +Read please so you won't make my mistakes: + +[Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) + +### 2. Use Flashcards + +To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. +Each card has different formatting. + +I made a mobile-first website so I could review on my phone and tablet, wherever I am. + +Make your own for free: + +- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) +- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): + +Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. + +**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the +same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in +your brain. + +An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. +It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. + +My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) + +### 3. Review, review, review + +I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. + +Take a break from programming problems for a half hour and go through your flashcards. + +### 4. Focus + +There are a lot of distractions that can take up valuable time. Focus and concentration are hard. + +## What you won't see covered + +These are prevalent technologies but not part of this study plan: + +- SQL +- Javascript +- HTML, CSS, and other front-end technologies + +## The Daily Plan + +Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. + +Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: +- C - using structs and functions that take a struct * and something else as args. +- C++ - without using built-in types +- C++ - using built-in types, like STL's std::list for a linked list +- Python - using built-in types (to keep practicing Python) +- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements +- You may do Java or something else, this is just my thing. + +You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). + +Why code in all of these? +- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) +- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) +- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) + +I may not have time to do all of these for every subject, but I'll try. + +You can see my code here: + - [C](https://github.com/jwasham/practice-c) + - [C++](https://github.com/jwasham/practice-cpp) + - [Python](https://github.com/jwasham/practice-python) + +You don't need to memorize the guts of every algorithm. + +Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. + +## Prerequisite Knowledge + +- [ ] **Learn C** + - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. + - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) + - This is a short book, but it will give you a great handle on the C language and if you practice it a little + you'll quickly get proficient. Understanding C helps you understand how programs and memory work. + - [answers to questions](https://github.com/lekkas/c-algorithms) + +- [ ] **How computers process a program:** + - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) + - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) + +## Algorithmic complexity / Big-O / Asymptotic analysis +- nothing to implement +- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) +- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] Skiena: + - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) +- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) +- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) +- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) +- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) +- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) +- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) +- [ ] TopCoder (includes recurrence relations and master theorem): + - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) + - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) +- [ ] [Cheat sheet](http://bigocheatsheet.com/) + + + If some of the lectures are too mathy, you can jump down to the bottom and + watch the discrete mathematics videos to get the background knowledge. + +## Data Structures + +- ### Arrays + - Implement an automatically resizing vector. + - [ ] Description: + - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) + - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) + - [ ] Implement a vector (mutable array with automatic resizing): + - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. + - [ ] new raw data array with allocated memory + - can allocate int array under the hood, just not use its features + - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 + - [ ] size() - number of items + - [ ] capacity() - number of items it can hold + - [ ] is_empty() + - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] push(item) + - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right + - [ ] prepend(item) - can use insert above at index 0 + - [ ] pop() - remove from end, return value + - [ ] delete(index) - delete item at index, shifting all trailing elements left + - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) + - [ ] find(item) - looks for value and returns first index with that value, -1 if not found + - [ ] resize(new_capacity) // private function + - when you reach capacity, resize to double the size + - when popping an item, if size is 1/4 of capacity, resize to half + - [ ] Time + - O(1) to add/remove at end (amortized for allocations for more space), index, or update + - O(n) to insert/remove elsewhere + - [ ] Space + - contiguous in memory, so proximity helps performance + - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) + +- ### Linked Lists + - [ ] Description: + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) + - not the whole video, just portions about Node struct and memory allocation. + - [ ] Linked List vs Arrays: + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) + - [ ] Gotcha: you need pointer to pointer knowledge: + (for when you pass a pointer to a function that may change the address where that pointer points) + This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. + - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) + - [ ] implement (I did with tail pointer & without): + - [ ] size() - returns number of data elements in list + - [ ] empty() - bool returns true if empty + - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) + - [ ] push_front(value) - adds an item to the front of the list + - [ ] pop_front() - remove front item and return its value + - [ ] push_back(value) - adds an item at the end + - [ ] pop_back() - removes end item and returns its value + - [ ] front() - get value of front item + - [ ] back() - get value of end item + - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index + - [ ] erase(index) - removes node at given index + - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list + - [ ] reverse() - reverses the list + - [ ] remove_value(value) - removes the first item in the list with this value + - [ ] Doubly-linked List + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) + - No need to implement + +- ### Stack + - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) + - [ ] Will not implement. Implementing with array is trivial. + +- ### Queue + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) + - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) + - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) + - [ ] Implement using linked-list, with tail pointer: + - enqueue(value) - adds value at position at tail + - dequeue() - returns value and removes least recently added element (front) + - empty() + - [ ] Implement using fixed-sized array: + - enqueue(value) - adds item at end of available storage + - dequeue() - returns value and removes least recently added element + - empty() + - full() + - [ ] Cost: + - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) + because you'd need the next to last element, causing a full traversal each dequeue + - enqueue: O(1) (amortized, linked list and array [probing]) + - dequeue: O(1) (linked list and array) + - empty: O(1) (linked list and array) + +- ### Hash table + - [ ] Videos: + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) + + - [ ] Online Courses: + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) + - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) + - [ ] distributed hash tables: + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) + + - [ ] implement with array using linear probing + - hash(k, m) - m is size of hash table + - add(key, value) - if key already exists, update value + - exists(key) + - get(key) + - remove(key) + +## More Knowledge + +- ### Binary search + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) + - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) + - [ ] Implement: + - binary search (on sorted array of integers) + - binary search using recursion + +- ### Bitwise operations + - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) + - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << + - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) + - [ ] Good intro: + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) + - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) + - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) + - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) + - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) + - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) + - [ ] 2s and 1s complement + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) + - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) + - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) + - [ ] count set bits + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) + - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) + - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) + - [ ] round to next power of 2: + - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) + - [ ] swap values: + - [Swap](http://bits.stephan-brumme.com/swap.html) + - [ ] absolute value: + - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) + +## Trees + +- ### Trees - Notes & Background + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) + - basic tree construction + - traversal + - manipulation algorithms + - BFS (breadth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - level order (BFS, using queue) + time complexity: O(n) + space complexity: best: O(1), worst: O(n/2)=O(n) + - DFS (depth-first search) + - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - notes: + time complexity: O(n) + space complexity: + best: O(log n) - avg. height of tree + worst: O(n) + - inorder (DFS: left, self, right) + - postorder (DFS: left, right, self) + - preorder (DFS: self, left, right) + +- ### Binary search trees: BSTs + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - starts with symbol table and goes through BST applications + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) + - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) + - C/C++: + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] Implement: + - [ ] insert // insert value into tree + - [ ] get_node_count // get count of values stored + - [ ] print_values // prints the values in the tree, from min to max + - [ ] delete_tree + - [ ] is_in_tree // returns true if given value exists in the tree + - [ ] get_height // returns the height in nodes (single node's height is 1) + - [ ] get_min // returns the minimum value stored in the tree + - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_binary_search_tree + - [ ] delete_value + - [ ] get_successor // returns next-highest value in tree after given value, -1 if none + +- ### Heap / Priority Queue / Binary Heap + - visualized as a tree, but is usually linear in storage (array, linked list) + - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) + - [ ] Implement a max-heap: + - [ ] insert + - [ ] sift_up - needed for insert + - [ ] get_max - returns the max item, without removing it + - [ ] get_size() - return number of elements stored + - [ ] is_empty() - returns true if heap contains no elements + - [ ] extract_max - returns the max item, removing it + - [ ] sift_down - needed for extract_max + - [ ] remove(i) - removes item at index x + - [ ] heapify - create a heap from an array of elements, needed for heap_sort + - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap + - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + +## Sorting + +- [ ] Notes: + - Implement sorts & know best case/worst case, average complexity of each: + - no bubble sort - it's terrible - O(n^2), except when n <= 16 + - [ ] stability in sorting algorithms ("Is Quicksort stable?") + - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) + - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) + - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) + - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) + - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? + - I wouldn't recommend sorting a linked list, but merge sort is doable. + - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) + +- For heapsort, see Heap data structure above. Heap sort is great, but not stable. + +- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) + - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) + - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + +- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + +- [ ] UC Berkeley: + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + +- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) +- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) +- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) +- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) +- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) +- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) + +- [ ] Merge sort code: + - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) + - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) + - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) +- [ ] Quick sort code: + - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) + - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) + - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) + +- [ ] Implement: + - [ ] Mergesort: O(n log n) average and worst case + - [ ] Quicksort O(n log n) average case + - Selection sort and insertion sort are both O(n^2) average and worst case + - For heapsort, see Heap data structure above. + +- [ ] Not required, but I recommended them: + - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) + - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) + - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) + - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) + - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) + - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) + +As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). +If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +## Graphs + +Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. + +- Notes: + - There are 4 basic ways to represent a graph in memory: + - objects and pointers + - adjacency matrix + - adjacency list + - adjacency map + - Familiarize yourself with each representation and its pros & cons + - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code + - When asked a question, look for a graph-based solution first, then move on if none. + +- [ ] Skiena Lectures - great intro: + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + +- [ ] Graphs (review and more): + + - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) + - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) + - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) + +- Full Coursera Course: + - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) + +- I'll implement: + - [ ] DFS with adjacency list (recursive) + - [ ] DFS with adjacency list (iterative with stack) + - [ ] DFS with adjacency matrix (recursive) + - [ ] DFS with adjacency matrix (iterative with stack) + - [ ] BFS with adjacency list + - [ ] BFS with adjacency matrix + - [ ] single-source shortest path (Dijkstra) + - [ ] minimum spanning tree + - DFS-based algorithms (see Aduni videos above): + - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) + - [ ] topological sort + - [ ] count connected components in a graph + - [ ] list strongly connected components + - [ ] check for bipartite graph + +You'll get more graph practice in Skiena's book (see Books section below) and the interview books + +## Even More Knowledge + +- ### Recursion + - [ ] Stanford lectures on recursion & backtracking: + - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) + - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) + - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) + - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) + - when it is appropriate to use it + - how is tail recursion better than not? + - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) + - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) + +- ### Dynamic Programming + - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. + - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - [ ] Videos: + - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) + - [ ] List of individual DP problems (each is short): + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + - [ ] Yale Lecture notes: + - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) + - [ ] Coursera: + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) + +- ### Object-Oriented Programming + - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) + - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): + - Can skip this if you have a great grasp of OO and OO design practices. + - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] SOLID OOP Principles: + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) + - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) + - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) + - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension but not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) + - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) + +- ### Design patterns + - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) + - [ ] Learn these patterns: + - [ ] strategy + - [ ] singleton + - [ ] adapter + - [ ] prototype + - [ ] decorator + - [ ] visitor + - [ ] factory, abstract factory + - [ ] facade + - [ ] observer + - [ ] proxy + - [ ] delegate + - [ ] command + - [ ] state + - [ ] memento + - [ ] iterator + - [ ] composite + - [ ] flyweight + - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) + - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) + - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. + - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) + - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) + + +- ### Combinatorics (n choose k) & Probability + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) + - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) + - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] Khan Academy: + - Course layout: + - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) + - Just the videos - 41 (each are simple and each are short): + - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) + +- ### NP, NP-Complete and Approximation Algorithms + - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, + and be able to recognize them when an interviewer asks you them in disguise. + - Know what NP-complete means. + - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - [ ] Simonson: + - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) + - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] Skiena: + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) + - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) + - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - Peter Norvig discusses near-optimal solutions to traveling salesman problem: + - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) + - Pages 1048 - 1140 in CLRS if you have it. + +- ### Caches + - [ ] LRU cache: + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) + - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) + - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) + - [ ] CPU cache: + - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) + - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- ### Processes and Threads + - [ ] Computer Science 162 - Operating Systems (25 videos): + - for processes and threads see videos 1-11 + - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) + - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) + - Covers: + - Processes, Threads, Concurrency issues + - difference between processes and threads + - processes + - threads + - locks + - mutexes + - semaphores + - monitors + - how they work + - deadlock + - livelock + - CPU activity, interrupts, context switching + - Modern concurrency constructs with multicore processors + - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) + - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) + - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) + - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) + - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) + - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. + - Context switching + - How context switching is initiated by the operating system and underlying hardware + - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] concurrency in Python (videos): + - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) + - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) + - [reference](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) + - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) + - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Papers + - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) + - [implemented in Go](https://godoc.org/github.com/thomas11/csp) + - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) + - replaced by Colossus in 2012 + - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) + - mostly replaced by Cloud Dataflow? + - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) + - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) + - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) + - The Dynamo paper kicked off the NoSQL revolution + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) + - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) + - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) + - paper not available + - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: Google’s Globally-Distributed Database: + - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [video](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) + - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) + - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) + - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) + - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) + - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + +- ### Testing + - To cover: + - how unit testing works + - what are mock objects + - what is integration testing + - what is dependency injection + - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) + - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) + - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) + - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) + - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) + - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) + - [ ] Dependency injection: + - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) + - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) + +- ### Scheduling + - in an OS, how it works + - can be gleaned from Operating System videos + +- ### Implement system routines + - understand what lies beneath the programming APIs you use + - can you implement them? + +- ### String searching & manipulations + - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) + - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) + - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) + - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) + + If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + +- ### Tries + - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits + to track the path. + - I read through code, but will not implement. + - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) + - [ ] Short course videos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) + - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + +- ### Floating Point Numbers + - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + +- ### Unicode + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) + +- ### Endianness + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) + - Very technical talk for kernel devs. Don't worry if most is over your head. + - The first half is enough. + +- ### Networking + - **if you have networking experience or want to be a systems engineer, expect questions** + - otherwise, this is just good to know + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) + - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) + - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) + - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + - [ ] Sockets: + - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) + - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) + +## System Design, Scalability, Data Handling +- **You can expect system design questions if you have 4+ years of experience.** +- Scalability and System Design are very large topics with many topics and resources, since + there is a lot to consider when designing a software/hardware system that can scale. + Expect to spend quite a bit of time on this. +- Considerations: + - scalability + - Distill large data sets to single values + - Transform one data set to another + - Handling obscenely large amounts of data + - system design + - features sets + - interfaces + - class hierarchies + - designing a system under certain constraints + - simplicity and robustness + - tradeoffs + - performance analysis and optimization +- [ ] **START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) +- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) +- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) +- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) +- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. +- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) +- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) +- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) +- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) +- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) +- [ ] Paxos Consensus algorithm: + - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) +- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) +- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) +- [ ] Scalability: + - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] Short series: + - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) + - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) + - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) + - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) + - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) + - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) + - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) + - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) + - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) + - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) + - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) + - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) + - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) + - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) + - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) + - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) + - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) + - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) + - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) + - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) + - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) + - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) + - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) + - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) + - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) + - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) + - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) + - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) + - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) + - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) + - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) + - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) + - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) + - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) + - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) + - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) + - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) + - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) + - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) + - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) + - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) + - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) + - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] Twitter: + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) + - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) + - For even more, see "Mining Massive Datasets" video series in the Video Series section. +- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: + - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) + - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) + - flow: + 1. Understand the problem and scope: + - define the use cases, with interviewer's help + - suggest additional features + - remove items that interviewer deems out of scope + - assume high availability is required, add as a use case + 2. Think about constraints: + - ask how many requests per month + - ask how many requests per second (they may volunteer it or make you do the math) + - estimate reads vs. writes percentage + - keep 80/20 rule in mind when estimating + - how much data written per second + - total storage required over 5 years + - how much data read per second + 3. Abstract design: + - layers (service, data, caching) + - infrastructure: load balancing, messaging + - rough overview of any key algorithm that drives the service + - consider bottlenecks and determine solutions + - Exercises: + - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) + - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) + - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) + - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) + - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) + - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) + - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) + - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) + +--- + +## Final Review + + This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. + It's nice if you want a refresher often. + +- [ ] Series of 2-3 minutes short subject videos (23 videos) + - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): + - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) + - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) + - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) + - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) + - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) + - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) + - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) + - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) + - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) +- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) + - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) + - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) + - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) + - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) + - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) + - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) + - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) + - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) + - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) + - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) + - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) + +--- + +## Coding Question Practice + +Now that you know all the computer science topics above, it's time to practice answering coding problems. + +**Coding question practice is not about memorizing answers to programming problems.** + +Why you need to practice doing programming problems: +- problem recognition, and where the right data structures and algorithms fit in +- gathering requirements for the problem +- talking your way through the problem like you will in the interview +- coding on a whiteboard or paper, not a computer +- coming up with time and space complexity for your solutions +- testing your solutions + +There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming +interview books, too, but I found this outstanding: +[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) + +No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a +large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". +I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. + +![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) + +Supplemental: + +- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) +- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) +- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) +- [Exercises for getting better at a given language](http://exercism.io/languages) + +**Read and Do Programming Problems (in this order):** + +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) + - answers in C, C++ and Java +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) + - answers in Java + +See [Book List above](#book-list) + +## Coding exercises/challenges + +Once you've learned your brains out, put those brains to work. +Take coding challenges every day, as many as you can. + +- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) +- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) + +Coding Interview Question Videos: +- [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) +- [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) + +Challenge sites: +- [LeetCode](https://leetcode.com/) +- [TopCoder](https://www.topcoder.com/) +- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) +- [Codewars](http://www.codewars.com) +- [HackerEarth](https://www.hackerearth.com/) +- [HackerRank](https://www.hackerrank.com/) +- [Codility](https://codility.com/programmers/) +- [InterviewCake](https://www.interviewcake.com/) +- [Geeks for Geeks](http://www.geeksforgeeks.org/) +- [InterviewBit](https://www.interviewbit.com/invite/icjf) +- [Sphere Online Judge (spoj)](http://www.spoj.com/) + +Challenge repos: +- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) + +Mock Interviews: +- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) +- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) +- [Refdash: Mock interviews](https://refdash.com/) + +## Once you're closer to the interview + +- [ ] Cracking The Coding Interview Set 2 (videos): + - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) + - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) + - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) + +## Your Resume + +- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed + + +## Be thinking of for when the interview comes + +Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. +Have a story, not just data, about something you accomplished. + +- Why do you want this job? +- What's a tough problem you've solved? +- Biggest challenges faced? +- Best/worst designs seen? +- Ideas for improving an existing product. +- How do you work best, as an individual and as part of a team? +- Which of your skills or experiences would be assets in the role and why? +- What did you most enjoy at [job x / project y]? +- What was the biggest challenge you faced at [job x / project y]? +- What was the hardest bug you faced at [job x / project y]? +- What did you learn at [job x / project y]? +- What would you have done better at [job x / project y]? + +## Have questions for the interviewer + + Some of mine (I already may know answer to but want their opinion or team perspective): + +- How large is your team? +- What does your dev cycle look like? Do you do waterfall/sprints/agile? +- Are rushes to deadlines common? Or is there flexibility? +- How are decisions made in your team? +- How many meetings do you have per week? +- Do you feel your work environment helps you concentrate? +- What are you working on? +- What do you like about it? +- What is the work life like? + +## Once You've Got The Job + +Congratulations! + +Keep learning. + +You're never really done. + +--- + + ***************************************************************************************************** + ***************************************************************************************************** + + Everything below this point is optional. + By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for + any software engineering job. You'll be a much more well-rounded software engineer. + + ***************************************************************************************************** + ***************************************************************************************************** + +--- + +## Additional Books + +- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) + - an oldie but a goodie +- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) + - a modern option +- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) +- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) + - a gentle introduction to design patterns +- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) + - aka the "Gang Of Four" book, or GOF + - the canonical design patterns book +- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) + +## Additional Learning + +These topics will likely not come up in an interview, but I added them to help you become a well-rounded +software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. + +- ### Compilers + - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) + - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) + - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) + +- ### Emacs and vi(m) + - Familiarize yourself with a unix-based code editor + - vi(m): + - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) + - [VIM Adventures](http://vim-adventures.com/) + - set of 4 videos: + - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) + - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) + - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) + - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) + - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) + - emacs: + - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) + - set of 3 (videos): + - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) + - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) + - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) + - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) + - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) + +- ### Unix command line tools + - I filled in the list below from good tools. + - [ ] bash + - [ ] cat + - [ ] grep + - [ ] sed + - [ ] awk + - [ ] curl or wget + - [ ] sort + - [ ] tr + - [ ] uniq + - [ ] [strace](https://en.wikipedia.org/wiki/Strace) + - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) + +- ### Information theory (videos) + - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) + - [ ] more about Markov processes: + - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) + - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) + - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) + - See more in MIT 6.050J Information and Entropy series below. + +- ### Parity & Hamming Code (videos) + - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) + - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) + - [ ] Hamming Code: + - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) + - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) + - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) + +- ### Entropy + - also see videos below + - make sure to watch information theory videos first + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) + +- ### Cryptography + - also see videos below + - make sure to watch information theory videos first + - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) + - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) + - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- ### Compression + - make sure to watch information theory videos first + - [ ] Computerphile (videos): + - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) + - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) + - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) + - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) + - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) + - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) + - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) + - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) + +- ### Computer Security + - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) + - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) + - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) + - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- ### Garbage collection + - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) + - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) + - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) + - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) + - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) + +- ### Parallel Programming + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + +- ### Messaging, Serialization, and Queueing Systems + - [ ] [Thrift](https://thrift.apache.org/) + - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) + - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) + - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) + - [ ] [gRPC](http://www.grpc.io/) + - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) + - [ ] [Redis](http://redis.io/) + - [Tutorial](http://try.redis.io/) + - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) + - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) + - [ ] [RabbitMQ](https://www.rabbitmq.com/) + - [Get Started](https://www.rabbitmq.com/getstarted.html) + - [ ] [Celery](http://www.celeryproject.org/) + - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) + - [ ] [ZeroMQ](http://zeromq.org/) + - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) + - [ ] [ActiveMQ](http://activemq.apache.org/) + - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) + - [ ] [MessagePack](http://msgpack.org/index.html) + - [ ] [Avro](https://avro.apache.org/) + +- ### A* + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) + +- ### Fast Fourier Transform + - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) + - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) + - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) + - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) + - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) + +- ### Bloom Filter + - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) + - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) + - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) + - [Tutorial](http://billmill.org/bloomfilter-tutorial/) + - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) + +- ### HyperLogLog + - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) + +- ### Locality-Sensitive Hashing + - used to determine the similarity of documents + - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. + - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) + +- ### van Emde Boas Trees + - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) + - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) + +- ### Augmented Data Structures + - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) + +- ### Balanced search trees + - Know least one type of balanced binary tree (and know how it's implemented): + - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. + A particularly interesting self-organizing data structure is the splay tree, which uses rotations + to move any accessed key to the root." - Skiena + - Of these, I chose to implement a splay tree. From what I've read, you won't implement a + balanced search tree in your interview. But I wanted exposure to coding one up + and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. + - splay tree: insert, search, delete functions + If you end up implementing red/black tree try just these: + - search and insertion functions, skipping delete + - I want to learn more about B-Tree since it's used so widely with very large data sets. + - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) + + - [ ] **AVL trees** + - In practice: + From what I can tell, these aren't used much in practice, but I could see where they would be: + The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly + balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it + attractive for data structures that may be built once and loaded without reconstruction, such as language + dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). + - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) + - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) + - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) + - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) + + - [ ] **Splay trees** + - In practice: + Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, + data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, + networking and file system code) etc. + - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] MIT Lecture: Splay Trees: + - Gets very mathy, but watch the last 10 minutes for sure. + - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + + - [ ] **Red/black trees** + - these are a translation of a 2-3 tree (see below) + - In practice: + Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. + Not only does this make them valuable in time-sensitive applications such as real-time applications, + but it makes them valuable building blocks in other data structures which provide worst-case guarantees; + for example, many data structures used in computational geometry can be based on red–black trees, and + the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, + the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor + hashcodes, a Red-Black tree is used. + - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) + - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) + - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) + - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) + + - [ ] **2-3 search trees** + - In practice: + 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). + - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. + - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) + - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + + - [ ] **2-3-4 Trees (aka 2-4 trees)** + - In practice: + For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion + operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an + important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce + 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) + + - [ ] **N-ary (K-ary, M-ary) trees** + - note: the N or K is the branching factor (max branches) + - binary trees are a 2-ary tree, with branching factor = 2 + - 2-3 trees are 3-ary + - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) + + - [ ] **B-Trees** + - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) + - In Practice: + B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to + its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary + block in a particular file. The basic problem is turning the file block i address into a disk block + (or perhaps to a cylinder-head-sector) address. + - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) + - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) + - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) + - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) + - covers cache-oblivious B-Trees, very interesting data structures + - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) + + +- ### k-D Trees + - great for finding number of points in a rectangle or higher dimension object + - a good fit for k-nearest neighbors + - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) + - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + +- ### Skip lists + - "These are somewhat of a cult data structure" - Skiena + - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) + +- ### Network Flows + - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) + +- ### Disjoint Sets & Union Find + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) + +- ### Math for Fast Processing + - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) + +- ### Treap + - Combination of a binary search tree and a heap + - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) + - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) + - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) + +- ### Linear Programming (videos) + - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) + - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) + - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) + - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) + +- ### Geometry, Convex hull (videos) + - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) + - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) + - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) + +- ### Discrete math + - see videos below + +- ### Machine Learning + - [ ] Why ML? + - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) + - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) + - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) + - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) + - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) + - Courses: + - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) + - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) + - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) + - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) + - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) + - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) + - Resources: + - Books: + - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) + - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) + - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) + - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) + - Data School: http://www.dataschool.io/ + +-- + +## Additional Detail on Some Subjects + + I added these to reinforce some ideas already presented above, but didn't want to include them + above because it's just too much. It's easy to overdo it on a subject. + You want to get hired in this century, right? + +- [ ] **Union-Find** + - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) + - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) + - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) + - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) + - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) + - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) + +- [ ] **More Dynamic Programming** (videos) + - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) + - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) + - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) + - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) + - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) + +- [ ] **Advanced Graph Processing** (videos) + - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) + - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) + +- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): + - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) + - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) + - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) + +- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) + +- [ ] **String Matching** + - [ ] Rabin-Karp (videos): + - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) + - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) + - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) + - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) + - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) + - [ ] Knuth-Morris-Pratt (KMP): + - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) + - [ ] Boyer–Moore string search algorithm + - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) + - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) + - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be + - nice explanation of tries + - can be skipped + +- [ ] **Sorting** + + - [ ] Stanford lectures on sorting: + - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) + - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): + - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) + - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) + - [ ] Steven Skiena lectures on sorting: + - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + +## Video Series + +Sit back and enjoy. "Netflix and skill" :P + +- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) + +- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) + +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) + +- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) + +- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) + +- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) + +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) + +- [ ] CSE373 - Analysis of Algorithms (25 videos) + - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) + +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) + +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) + +- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) + +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) + +- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) + +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) + +- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) + +- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) + +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) + +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) + +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) + +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) + +- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) + +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) + +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) + +- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + +- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) + +- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) + - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) + +- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) + +- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) + +## Computer Science Courses + +- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) +- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) + From 92b88f46739781c4a81aa47bd85910d9802e475d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:17:49 -0500 Subject: [PATCH 089/236] Table of contents Done some of the traduction of the table of contents --- .gitignore | 1 + README-es.md | 150 +++++++++++++++++++++++++-------------------------- 2 files changed, 74 insertions(+), 77 deletions(-) diff --git a/.gitignore b/.gitignore index 2dcdcea159..3cf84a2de4 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ .idea personal-9894.md +~$ADME-es.txt diff --git a/README-es.md b/README-es.md index 1ba5ce76d6..c8916251d6 100644 --- a/README-es.md +++ b/README-es.md @@ -1,16 +1,15 @@ # Coding Interview University --Version original: [Inglés](README.md) +- Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software pero creció hasta ser la gran lista puedes apreciar actualmente. Después de pasar por este plan de estudios [fui contratado como un Ingeniero de Desarrollo de Software en Amazon(Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! -> You probably won't have to study as much as I did. Anyway, everything you need is here. +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) +> Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > -> The items listed here will prepare you well for in an interview at just about any software company, -> including the giants: Amazon, Facebook, Google or Microsoft. +> Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. > -> *Best of luck to you!* +> *¡La mejor de las suertes!* -Translations: +Traducciones: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - translations in progress: @@ -33,47 +32,45 @@ Translations: - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) -## What is it? +## ¿Qué es esto? -This is my multi-month study plan for going from web developer (self-taught, no CS degree) to software engineer for a large company. +Este es mi plan de estudios de varios meses para pasar de ser un Desarrollador Web (Autodidacta, sin título) a un Ingeniero de Software para una gran compañía. ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -This is meant for **new software engineers** or those switching from -software/web development to software engineering (where computer science knowledge is required). If you have -many years of experience and are claiming many years of software engineering experience, expect a harder interview. +Esto es para los **nuevos Ingenieros de Software** o aquellos que quieren cambiar del Desarrollo de Software/Web a Ingeniero de Software (Donde el conocimiento de las Ciencias de Computación es requerido). Si tiene varios años de experiencia y clama tenerlos como Ingeniero de Software, espere una entrevista más ardua. -If you have many years of software/web development experience, note that large software companies like Google, Amazon, -Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge. +Si tiene varios años de experiencia en desarrollo de software/web note que las grandes compañías como Google, Amazon, Facebook y Microsoft ven la Ingeniería de Software diferente al Desarrollo de Software/Web, requiriendo del conocimiento de las Ciencias de Computación. + +Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, estudie más de la lista opcional (Redes, Seguridad). -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). --- -## Table of Contents - -- [What is it?](#what-is-it) -- [Why use it?](#why-use-it) -- [How to use it](#how-to-use-it) -- [Don't feel you aren't smart enough](#dont-feel-you-arent-smart-enough) -- [About Video Resources](#about-video-resources) -- [Interview Process & General Interview Prep](#interview-process--general-interview-prep) -- [Pick One Language for the Interview](#pick-one-language-for-the-interview) -- [Book List](#book-list) -- [Before you Get Started](#before-you-get-started) -- [What you Won't See Covered](#what-you-wont-see-covered) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) +## Tabla de contenido + +- [¿Qué es esto?](#que-es-esto) +- [¿Por qué usarlo?](#por-que-usarlo) +- [Como usarlo](#como-usarlo) +- [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) +- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) +- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparación-general-para-la-entrevista +- [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) +- [Lista de libros](#lista-de-libros) +- [Antes de iniciar](#antes-de-iniciar) +- [Lo que no verá cubierto](#lo-que-no-vera-cubierto) +- [Conocimientos Previos](#conocimientos-previos) +- [El plan diario](#el-plan-diario) +- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algoritmica-big-o-analisis-asintotico) +- [Estructuras de datos](#estructuras-de-datos) + - [Arreglos](#arreglos) + - [Listas Enlazadas](#listas-enlazadas) - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [More Knowledge](#more-knowledge) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) +- [Información adicional](#informacion-adicional) + - [Búsqueda binaria](#busqueda-binaria) + - [Operaciones bit a bit](#operaciones-bit-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) - [Binary search trees: BSTs](#binary-search-trees-bsts) @@ -92,11 +89,11 @@ If you want to be a reliability engineer or systems engineer, study more from th - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Dynamic Programming](#dynamic-programming) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) +- [Información adicional](#informacion-adicional) + - [Recursión](#recursion) + - [Programación Dinámica](#programacion-dinamica) + - [Programación Orientada a Objetos](#programacion-orientada-a-objetos) + - [Patrones de diseño](#patrones-de-diseño) - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - [Caches](#caches) @@ -110,42 +107,41 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Floating Point Numbers](#floating-point-numbers) - [Unicode](#unicode) - [Endianness](#endianness) -- [Networking](#networking) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Compilers](#compilers) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) +- [Redes](#redes) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño del sistema-escalabilidad-manejo de datos) (si tiene más de 4 años de experiencia) +- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) +- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) +- [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) +- [Tu CV](#tu-cv) +- [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) +- [Preguntas para el entrevistador](#preguntas-para-el entrevistador) +- [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) + +---------------- Todo debajo de esta marca es opcional ---------------- + +- [Libros adicionales](#libros-adicionales) +- [Aprendizaje adicional](#aprendizaje-adicional) + - [Compiladores](#compiladores) + - [Emacs y Vi(m)](#emacs-y-vim) + - [Unix: Herramientas para la línea de comandos](#unix-herramienta-para-la-linea-de-comandos) + - [Teoría de la información](#teoria-de-la-informacion) + - [Código de paridad y Hamming](#codigo-de-paridad-y-hamming) + - [Entropía](#entropia) + - [Criptografía](#cryptografia) - [Compression](#compression) - - [Computer Security](#computer-security) + - [Seguridad informática](#seguridad-informatica) - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [Programación en paralelo](#programacion-en-paralelo) + - [Sistemas de mensajería, serialización y colas] (#sistemas-de-mensajeria-serializacion-y-cola) - [A*](#a) - - [Fast Fourier Transform](#fast-fourier-transform) + - [Transformada rápida de Fourier] (#transformada-rapida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) + - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) + - [Árboles de búsqueda equilibrada](#arboles-de-busqueda-equilibrada) - AVL trees - Splay trees - Red/black trees @@ -155,17 +151,17 @@ If you want to be a reliability engineer or systems engineer, study more from th - B-Trees - [k-D Trees](#k-d-trees) - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) + - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) + - [[Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido]) - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) + - [Programación Lineal](#programacion-lineal) + - [Geometría, casco convexo] (#geometria-casco-convexo) + - [Matemáticas discretas](#matematicas-discretas) - [Machine Learning](#machine-learning) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) +- [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) +- [Series de videos](#series-de-videos) +- [Cursos de Informática](#cursos-de-informatica) --- From 4042bbe6595f77313885e2dd8d0a2701312699a3 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:19:58 -0500 Subject: [PATCH 090/236] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index c8916251d6..e256543951 100644 --- a/README-es.md +++ b/README-es.md @@ -54,7 +54,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparación-general-para-la-entrevista +- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparacion-general-para-la-entrevista - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) From 5b81c36d5274c4c90d60bb77f4a780e584f4c973 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:23:22 -0500 Subject: [PATCH 091/236] Trying --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index e256543951..5cf24f458a 100644 --- a/README-es.md +++ b/README-es.md @@ -54,7 +54,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Proceso de entrevista y preparación general para la entrevista](#proceso-de-entrevista-y-preparacion-general-para-la-entrevista +- [Prepárese para la entrevista](#preparese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) From b2d241ab5fe614dbccd1c8dcdfae9a704b70f9a4 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:24:55 -0500 Subject: [PATCH 092/236] More typos --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index 5cf24f458a..738d891f87 100644 --- a/README-es.md +++ b/README-es.md @@ -108,13 +108,13 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño del sistema-escalabilidad-manejo de datos) (si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) (si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) - [Tu CV](#tu-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) -- [Preguntas para el entrevistador](#preguntas-para-el entrevistador) +- [Preguntas para el entrevistador](#preguntas-para-el-entrevistador) - [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) ---------------- Todo debajo de esta marca es opcional ---------------- From 5841484b1cc565d2518d511c6437aa80bee2ebdc Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:26:07 -0500 Subject: [PATCH 093/236] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index 738d891f87..a3ad754c06 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) (si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseno-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From c7180ea84be8b446f354d8e382ea6fccb6b9016c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:26:52 -0500 Subject: [PATCH 094/236] Trying --- README-es.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index a3ad754c06..eeea6fd872 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseno-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) +(Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From 12b74fd229d4794dc33effb79400b74765f6133c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:27:40 -0500 Subject: [PATCH 095/236] Trying --- README-es.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index eeea6fd872..a078c060f0 100644 --- a/README-es.md +++ b/README-es.md @@ -108,8 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -(Si tiene más de 4 años de experiencia) +- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -Si tiene más de 4 años de experiencia- - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From 284bf819d3a67547b83e72d6424f750f297e4a70 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:28:39 -0500 Subject: [PATCH 096/236] Typo --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index a078c060f0..c5d58b0479 100644 --- a/README-es.md +++ b/README-es.md @@ -108,7 +108,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Unicode](#unicode) - [Endianness](#endianness) - [Redes](#redes) -- [Diseño del Sistema, Escalabilidad, Manejo de Datos] (#diseño-del-sistema-escalabilidad-manejo-de-datos) -Si tiene más de 4 años de experiencia- +- [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) From 3f25d6661f0378b8df0f6c470d23b707a05ab7d2 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:30:17 -0500 Subject: [PATCH 097/236] Typo --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index c5d58b0479..b8eff39ce7 100644 --- a/README-es.md +++ b/README-es.md @@ -153,10 +153,10 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Skip lists](#skip-lists) - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [[Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido]) + - [Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido) - [Treap](#treap) - [Programación Lineal](#programacion-lineal) - - [Geometría, casco convexo] (#geometria-casco-convexo) + - [Geometría, casco convexo](#geometria-casco-convexo) - [Matemáticas discretas](#matematicas-discretas) - [Machine Learning](#machine-learning) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) From 799ee85f2355d7beb70337b4e3d020847ab840b2 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:31:15 -0500 Subject: [PATCH 098/236] Erase a space --- README-es.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README-es.md b/README-es.md index b8eff39ce7..2cdc5dd064 100644 --- a/README-es.md +++ b/README-es.md @@ -132,9 +132,9 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Seguridad informática](#seguridad-informatica) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - - [Sistemas de mensajería, serialización y colas] (#sistemas-de-mensajeria-serializacion-y-cola) + - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajeria-serializacion-y-cola) - [A*](#a) - - [Transformada rápida de Fourier] (#transformada-rapida-de-fourier) + - [Transformada rápida de Fourier](#transformada-rapida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) From 16930413566f6f074b3fd2e86b744aba9101344a Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:40:16 -0500 Subject: [PATCH 099/236] How to use it --- README-es.md | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/README-es.md b/README-es.md index 2cdc5dd064..b56b542000 100644 --- a/README-es.md +++ b/README-es.md @@ -165,16 +165,13 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, --- -## Why use it? +## ¿Por qué usarlo? -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. + +Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. ## How to use it From 53b5213f0a3b82e5354771da1e14481d736d4881 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:47:29 -0500 Subject: [PATCH 100/236] Try --- README-es.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README-es.md b/README-es.md index b56b542000..70dfdfcb14 100644 --- a/README-es.md +++ b/README-es.md @@ -49,7 +49,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, ## Tabla de contenido -- [¿Qué es esto?](#que-es-esto) +- [¿Qué es esto?](#qué-es-esto) - [¿Por qué usarlo?](#por-que-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) From 36076a23e8a853d0f93252cb27a3e3858669dc15 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 01:52:59 -0500 Subject: [PATCH 101/236] Acentos --- README-es.md | 52 ++++++++++++++++++++++++++-------------------------- 1 file changed, 26 insertions(+), 26 deletions(-) diff --git a/README-es.md b/README-es.md index 70dfdfcb14..b192e496b7 100644 --- a/README-es.md +++ b/README-es.md @@ -50,26 +50,26 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, ## Tabla de contenido - [¿Qué es esto?](#qué-es-esto) -- [¿Por qué usarlo?](#por-que-usarlo) +- [¿Por qué usarlo?](#por-qué-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) - [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) -- [Prepárese para la entrevista](#preparese-para-la-entrevista) +- [Prepárese para la entrevista](#prepárese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) -- [Lo que no verá cubierto](#lo-que-no-vera-cubierto) +- [Lo que no verá cubierto](#lo-que-no-verá-cubierto) - [Conocimientos Previos](#conocimientos-previos) - [El plan diario](#el-plan-diario) -- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algoritmica-big-o-analisis-asintotico) +- [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algorítmica-big-o-análisis-asintótico) - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) - [Listas Enlazadas](#listas-enlazadas) - [Stack](#stack) - [Queue](#queue) - [Hash table](#hash-table) -- [Información adicional](#informacion-adicional) - - [Búsqueda binaria](#busqueda-binaria) +- [Información adicional](#información-adicional) + - [Búsqueda binaria](#búsqueda-binaria) - [Operaciones bit a bit](#operaciones-bit-bit) - [Trees](#trees) - [Trees - Notes & Background](#trees---notes--background) @@ -89,10 +89,10 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Información adicional](#informacion-adicional) - - [Recursión](#recursion) - - [Programación Dinámica](#programacion-dinamica) - - [Programación Orientada a Objetos](#programacion-orientada-a-objetos) +- [Información adicional](#información-adicional) + - [Recursión](#recursión) + - [Programación Dinámica](#programación-dinámica) + - [Programación Orientada a Objetos](#programación-orientada-a-objetos) - [Patrones de diseño](#patrones-de-diseño) - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) @@ -109,8 +109,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Endianness](#endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) -- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificacion) -- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificacion-desafíos) +- [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) +- [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) - [Tu CV](#tu-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) @@ -123,25 +123,25 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Aprendizaje adicional](#aprendizaje-adicional) - [Compiladores](#compiladores) - [Emacs y Vi(m)](#emacs-y-vim) - - [Unix: Herramientas para la línea de comandos](#unix-herramienta-para-la-linea-de-comandos) - - [Teoría de la información](#teoria-de-la-informacion) - - [Código de paridad y Hamming](#codigo-de-paridad-y-hamming) - - [Entropía](#entropia) - - [Criptografía](#cryptografia) + - [Unix: Herramientas para la línea de comandos](#unix-herramientas-para-la-línea-de-comandos) + - [Teoría de la información](#teoría-de-la-información) + - [Código de paridad y Hamming](#código-de-paridad-y-hamming) + - [Entropía](#entropía) + - [Criptografía](#criptografía) - [Compression](#compression) - - [Seguridad informática](#seguridad-informatica) + - [Seguridad informática](#seguridad-informática) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajeria-serializacion-y-cola) + - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) - - [Transformada rápida de Fourier](#transformada-rapida-de-fourier) + - [Transformada rápida de Fourier](#transformada-rápida-de-fourier) - [Bloom Filter](#bloom-filter) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Árboles de búsqueda equilibrada](#arboles-de-busqueda-equilibrada) + - [Árboles de búsqueda equilibrada](#árboles-de-búsqueda-equilibrada) - AVL trees - Splay trees - Red/black trees @@ -153,15 +153,15 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Skip lists](#skip-lists) - [Flujos de red](#flujos-de-red) - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Matemáticas para procesamiento rápido](#matematicas-para-procesamiento-rapido) + - [Matemáticas para procesamiento rápido](#mmatemáticas-para-procesamiento-rápido) - [Treap](#treap) - - [Programación Lineal](#programacion-lineal) - - [Geometría, casco convexo](#geometria-casco-convexo) - - [Matemáticas discretas](#matematicas-discretas) + - [Programación Lineal](#programación-lineal) + - [Geometría, casco convexo](#geometría-casco-convexo) + - [Matemáticas discretas](#matemáticas-discretas) - [Machine Learning](#machine-learning) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) - [Series de videos](#series-de-videos) -- [Cursos de Informática](#cursos-de-informatica) +- [Cursos de Informática](#cursos-de-informática) --- From e254deb408719fefd9700a837dc14dd410506661 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:01:35 -0500 Subject: [PATCH 102/236] How to use it --- README-es.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README-es.md b/README-es.md index b192e496b7..3ac3df1361 100644 --- a/README-es.md +++ b/README-es.md @@ -173,16 +173,16 @@ Pero después de pasar por todo este plan de estudios tengo mucha confianza de q Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. -## How to use it +## Como usarlo -Everything below is an outline, and you should tackle the items in order from top to bottom. +Todo lo que aparece abajo es un plan, y debería abordar los elementos en orden de arriba a abajo. -I'm using Github's special markdown flavor, including tasks lists to check progress. +Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas para comprobar el progreso. -**Create a new branch so you can check items like this, just put an x in the brackets: [x]** +[] **Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** - Fork a branch and follow the commands below + Haga fork a una rama y siga los comandos siguientes `git checkout -b progress` @@ -190,7 +190,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git fetch --all` - Mark all boxes with X after you completed your changes + Marque todas las cajas con una x después de que completa los cambios `git add . ` @@ -200,7 +200,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git push --force ` -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) +[Más acerca de los temas de Github para markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) ## Don't feel you aren't smart enough - Successful software engineers are smart, but many have an insecurity that they aren't smart enough. From 4a0e8e85950b2d7af88162f73ad34addce59b1d0 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:11:01 -0500 Subject: [PATCH 103/236] Video --- README-es.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README-es.md b/README-es.md index 3ac3df1361..34bd1a68c1 100644 --- a/README-es.md +++ b/README-es.md @@ -53,7 +53,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [¿Por qué usarlo?](#por-qué-usarlo) - [Como usarlo](#como-usarlo) - [No sienta no es lo suficientemente listo](#no-sienta-no-es-lo-suficientemente-listo) -- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-videos) +- [Acerca de los recursos de vídeo](#acerca-de-los-recursos-de-vídeo) - [Prepárese para la entrevista](#prepárese-para-la-entrevista) - [Escoja un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista) - [Lista de libros](#lista-de-libros) @@ -202,18 +202,18 @@ Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas [Más acerca de los temas de Github para markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Don't feel you aren't smart enough -- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. +## No sienta no es lo suficientemente listo +- Los ingenieros de software exitosos son inteligentes pero muchos tienen la inseguridad de no ser lo suficientemente listos. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## About Video Resources +## Acerca de los recursos de vídeo +Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. +En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. - - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. +Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. + + Me gusta usa lecturas de universidad. ## Interview Process & General Interview Prep From bba35fdd682171820c716821b2dc3a4d4990f71a Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 02:37:38 -0500 Subject: [PATCH 104/236] Sections --- README-es.md | 56 +++++++++++++++++++++++++--------------------------- 1 file changed, 27 insertions(+), 29 deletions(-) diff --git a/README-es.md b/README-es.md index 34bd1a68c1..1ac3d08ecc 100644 --- a/README-es.md +++ b/README-es.md @@ -216,8 +216,7 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita Me gusta usa lecturas de universidad. -## Interview Process & General Interview Prep - +## Prepárese para la entrevista - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) @@ -234,57 +233,56 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. -## Pick One Language for the Interview +## Escoja un lenguaje para la entrevista -You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: +Puede usar un lenguaje con el que este cómodo para hacer la parte de código para la entrevista, pero para las grandes compañías, estas son buenas elecciones: - C++ - Java - Python -You could also use these, but read around first. There may be caveats: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby -You need to be very comfortable in the language and be knowledgeable. +Debes sentirte muy cómodo con el lenguaje y ser experto. -Read more about choices: +Lee más acerca de opciones: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ -[See language resources here](programming-language-resources.md) - -You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. +[Ve recursos de programas aquí](programming-language-resources.md) -## Book List +Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. -This is a shorter list than what I used. This is abbreviated to save you time. +## Lista de libros -### Interview Prep +Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarle tiempo. +### Preparación para la entrevista - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C++ and Java - - this is a good warm-up for Cracking the Coding Interview - - not too difficult, most problems may be easier than what you'll see in an interview (from what I've read) + - Respuestas en C++ y Java + - Este es un buen calentamiento para Cracking the Coding Interview + - No muy difícil, muchos problemas pueden ser más sencillos de los que verá en la entrevista (Por lo que he leído) - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java + - Respuestas en Java -If you have tons of extra time: +Si tiene mucho tiempo extra: - [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - [ ] Elements of Programming Interviews (Java version) - [book](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) - [Companion Project - Method Stub and Test Cases for Every Problem in the Book](https://github.com/gardncl/elements-of-programming-interviews) -### Computer Architecture +### Arquitectura de Computadores -If short on time: +Si esta corto de tiempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: + - El libro fue publicado en 2004, y es algo anticuado pero es un recurso fantástico para la comprensión de una computadora en breve. + - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver como es un lenguaje ensamblador. + - Estos capítulos valen la pena ser leidos para brindarle una buena base: - Chapter 2 - Numeric Representation - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation @@ -295,17 +293,17 @@ If short on time: - Chapter 10 - Instruction Set Architecture - Chapter 11 - Memory Architecture and Organization -If you have more time (I want this book): +Si tiene más tiempo (Yo quiero este libro): - [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment + - Para un tratamiento más rico y actualizado (2011), pero un trato más largo. -### Language Specific +### Específicos del lenguaje -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. +**Necesita escoger un lenguaje para la entrevista (mire arriba).** Aquí están mis recomendaciones por lenguaje. No tengo recursos para todos los lenguajes. Son bienvenidas adiciones. -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. +Si ha leído alguno de estos, probablemente tenga todos los conocimientos de estructuras de datos y algoritmos que necesitara para hacer problemas de codificación. +**Puede saltarse todas las video-lecturas en este proyecto **, a menos que quiera una crítica. [Additional language-specific resources here.](programming-language-resources.md) From 729a067c9588b7f7cc025374d4325575d65faed3 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 18:09:06 -0500 Subject: [PATCH 105/236] Books --- README-es.md | 82 +++++++++++++++++++++++++--------------------------- 1 file changed, 40 insertions(+), 42 deletions(-) diff --git a/README-es.md b/README-es.md index 1ac3d08ecc..2cc5d67c4b 100644 --- a/README-es.md +++ b/README-es.md @@ -281,8 +281,8 @@ Si esta corto de tiempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - El libro fue publicado en 2004, y es algo anticuado pero es un recurso fantástico para la comprensión de una computadora en breve. - - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver como es un lenguaje ensamblador. - - Estos capítulos valen la pena ser leidos para brindarle una buena base: + - El autor inventó HLA, por lo que tiene muchas menciones y ejemplos en HLA. No es ampliamente utilizado, pero los ejemplos son decentes para ver cómo es un lenguaje ensamblador. + - Estos capítulos valen la pena ser leídos para brindarle una buena base: - Chapter 2 - Numeric Representation - Chapter 3 - Binary Arithmetic and Bit Operations - Chapter 4 - Floating-Point Representation @@ -303,18 +303,18 @@ Si tiene más tiempo (Yo quiero este libro): **Necesita escoger un lenguaje para la entrevista (mire arriba).** Aquí están mis recomendaciones por lenguaje. No tengo recursos para todos los lenguajes. Son bienvenidas adiciones. Si ha leído alguno de estos, probablemente tenga todos los conocimientos de estructuras de datos y algoritmos que necesitara para hacer problemas de codificación. -**Puede saltarse todas las video-lecturas en este proyecto **, a menos que quiera una crítica. +**Puede saltarse todas las video-lecturas en este proyecto**, a menos que quiera una crítica. -[Additional language-specific resources here.](programming-language-resources.md) +[Recursos adicionales específicos del lenguaje aquí.](programming-language-resources.md) ### C++ -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. +No he leído estos dos, pero están altamente calificados y escritos por Sedgewick. Él es asombroso. - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. +Si tiene una mejor recomendación para C++ por favor hágamelo saber. Busco fuentes comprensivas. ### Java @@ -323,61 +323,59 @@ If you have a better recommendation for C++, please let me know. Looking for a c - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) -OR: +O: - [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. + - Por Goodrich, Tamassia, Goldwasser + - Usado como texto opcional en el curso de Informática impartido en UC Berkeley + - Vea mi reporte de la versión de Python debajo. Este libro abarca los mismos tópicos. ### Python - [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ + - Por Goodrich, Tamassia, Goldwasser + - Ame este libro. Cubre todo y más. + - Código Pythonioco + - Mi brillante reporte del libro : https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ -### Optional Books +### Libros Opcionales -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** +**Algunas personas recomiendan estos pero creo exageran, a menos que tenga muchos años de experiencia en Ingeniería de Software y espere una entrevista mucho más difícil:** - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: + - Como un resumen y un reconocimiento de problemas + - La porción del catálogo de algoritmos está más allá del alcance de la dificultad que obtendrá en una entrevista. + - Este libro consta de dos partes: + - Libro de clase sobre estrcutura de datos y algoritmos + - Pros: + - Es un buen resumen como cualquier libro de algoritmos debe ser + - Buenas historias de sus experiencias resolviendo problemas en la industria y en la academia + - Ejemplos codificados en C + - Cons: + - Puede ser así de denso o impenetrable como los CLRS, en algunos casos, los CLRS pueden proveer una mejor alternativa para algunos temas + - Capítulos 7, 8, 9 pueden ser un martirio intentar darles seguimiento, ya que no están bien explicados o requieren más cerebro del que tengo + - No me malentiendan: Me gusta Skiena, su estilo de enseñanza y manierismos, pero no puedo ser material de Stony Brook. + - Catálogo de algoritmos: + - Es la verdadera razón para comprar el libro. + - Actualizare esto, una vez haya pasado por este. + - Se puede rentar en Kindle + - Half.com es un gran recurso para libros de textos a buen precio. + - Respuestas: - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game + - **Importante:** Leer este libro tendrá un valor limitado. Este libro es un buen resumen de algoritmos y estructuras de datos, pero no le enseñará como escribir un buen código. Necesita ser capaz de codificar una solución decente eficientemente. + - Half.com es un buen recurso para libros a buenos precios. + - Aka CLR, a veces CLRS, porque Stein llego tarde al juego - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - + - El primer par de capítulos presentan soluciones inteligentes a problemas de programación (algunos muy antiguos con cinta de datos) pero solo es una introducción. Esta es una guía sobre el diseño y la arquitectura del programa, como Code Complete, pero mucho más corto. - ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. + - Un buen libro, pero después de trabajar con algunos problemas me fruste con Pascal, ciclos do while, 1-arreglos indexados y resultados poco claros de satisfacción post-condición. + - Prefiero pasar tiempo en problemas de codificación de otro libro o problemas de codificación en línea. ## Before you Get Started From b34adeffa47c7f0c3e3c488452b53a0be399c326 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 20:00:11 -0500 Subject: [PATCH 106/236] Getting started --- README-es.md | 45 +++++++++++++++++++++------------------------ 1 file changed, 21 insertions(+), 24 deletions(-) diff --git a/README-es.md b/README-es.md index 2cc5d67c4b..a0ac4dadef 100644 --- a/README-es.md +++ b/README-es.md @@ -378,54 +378,51 @@ O: - Prefiero pasar tiempo en problemas de codificación de otro libro o problemas de codificación en línea. -## Before you Get Started +## Antes de iniciar -This list grew over many months, and yes, it kind of got out of hand. +Esta lista creció a lo largo de varios meses, y sí, está un poco fuera de las manos. -Here are some mistakes I made so you'll have a better experience. +Aquí algunos de mis errores para que pueda tener una mejor experiencia. -### 1. You Won't Remember it All +### 1. No recordará todo -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +Vi horas de video y tomé notas exactas de ellos, meses después había mucho que no recordaba. Pase tres días entre mis notas y haciendo tarjetas para poder repasar. +. -Read please so you won't make my mistakes: +Lea por favor para que no cometa mis errores: [Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) -### 2. Use Flashcards +### 2. Use tarjetas para recordar -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +Para solucionar el problema construí un pequeño sitio de tarjetas para recordar donde podía añadir tarjetas de dos tipos: general y código. +Cada tarjeta tiene distinto formato. -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +Hice un sitio adaptado a moviles para revisarlo en mi celular y en mi Tablet, donde quiera estuviera. -Make your own for free: +Haga el suyo gratis: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) - [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. +Tenga en cuenta que empecé desde abajo y hay tarjetas que cubren todo, desde el lenguaje ensamblador y la trivia Python al Machine Learning y estadísticas. Es demasiado para lo que se requiere. -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +**Nota en las tarjetas:** La primera vez reconozca sabe la respuesta, no marque como conocido; necesita contestar muchas veces correctamente antes de que en realidad lo sepa. La repetición pondrá ese conocimiento de forma más profunda en su cerebro. -An alternative to using my flashcard site is [Anki](http://ankisrs.net/), which has been recommended to me numerous times. It uses a repetition system to help you remember. -It's user-friendly, available on all platforms and has a cloud sync system. It costs $25 on iOS but is free on other platforms. +Una alternativa a usar mi sitio de tarjetas es [Anki](http://ankisrs.net/), que me ha sido recomendado muchas veces. Usa un sistema de repetición para ayudarle a recordar. Es amigable con el usuario y disponible para todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 en iOS pero es gratuito en las otras plataformas. -My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) +Mis tarjetas en ek formato de Anki: https://ankiweb.net/shared/info/25173560 (Gracias[@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. Revise, revise, revise -I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. +Mantuve una serie de hojas clave en ASCII, OSI stack, notación Big-O y más. Las estudie cuando tenía tiempo libre. -Take a break from programming problems for a half hour and go through your flashcards. +Tome un descanso de los problemas de programación por media hora y repase sus tarjetas. -### 4. Focus +### 4. Enfóquese -There are a lot of distractions that can take up valuable time. Focus and concentration are hard. +Hay muchas distracciones le pueden quitar tiempo valioso. Enfocarse y concentrarse es difícil. ## What you won't see covered From 258a598118cc87d8068be4e9c8315fa01c91320c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Mon, 22 May 2017 20:23:02 -0500 Subject: [PATCH 107/236] Correct structure --- README-es.md => translations/README-es.md | 0 README-he.md => translations/README-he.md | 0 README-hi.md => translations/README-hi.md | 0 3 files changed, 0 insertions(+), 0 deletions(-) rename README-es.md => translations/README-es.md (100%) rename README-he.md => translations/README-he.md (100%) rename README-hi.md => translations/README-hi.md (100%) diff --git a/README-es.md b/translations/README-es.md similarity index 100% rename from README-es.md rename to translations/README-es.md diff --git a/README-he.md b/translations/README-he.md similarity index 100% rename from README-he.md rename to translations/README-he.md diff --git a/README-hi.md b/translations/README-hi.md similarity index 100% rename from README-hi.md rename to translations/README-hi.md From 85dd92037e2e2921e1568de8156e3bf313d08a29 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 01:08:14 -0500 Subject: [PATCH 108/236] Daily plan --- .gitignore | 1 + translations/README-es.md | 49 ++++++++++++++++++++------------------- 2 files changed, 26 insertions(+), 24 deletions(-) diff --git a/.gitignore b/.gitignore index 3cf84a2de4..cff2525ded 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ .idea personal-9894.md ~$ADME-es.txt +translations/~$ADME-es.md diff --git a/translations/README-es.md b/translations/README-es.md index a0ac4dadef..dea90d9894 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -213,7 +213,7 @@ En ocasiones las clases no están en sesión por lo que tendrá que esperar un p Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. - Me gusta usa lecturas de universidad. + Me gustan recursos provenientes de universidades. ## Prepárese para la entrevista @@ -229,9 +229,9 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. + - Aprenda como alistarse para una entrevista de Ingeniería de Software con un entrevistador de Google. - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. + - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. ## Escoja un lenguaje para la entrevista @@ -424,43 +424,44 @@ Tome un descanso de los problemas de programación por media hora y repase sus t Hay muchas distracciones le pueden quitar tiempo valioso. Enfocarse y concentrarse es difícil. -## What you won't see covered +## Lo que no verá cubierto -These are prevalent technologies but not part of this study plan: +Estas son tecnologías predominantes, pero no están cubiertas por este plan de estudios: - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, y otras tecnologías front-end -## The Daily Plan +## El plan diario -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. +Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. +Cada día yo tomé un tema de los siguientes, vi videos sobre el tema y escribía una implementación: -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). +- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. +- C++ - sin utilizar tipos incorporados +- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada +- Python - usando tipos incorporados (para seguir practicando Python) +- y escribir pruebas para asegurarme de que lo estoy haciendo bien, a veces simplemente usando simples declaraciones assert() +- Puede hacer Java o algo más, esto es solo lo mío. -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) +No necesita todo esto. Solo necesita [un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista). -I may not have time to do all of these for every subject, but I'll try. +¿Por qué codificar en todo esto? +- Práctica, práctica, práctica… hasta que me canse de ello y pueda hacerlo sin ningún problema (algunos usan técnicas y marcadores para recordar) +- Trabajar dentro de las restricciones primarias (asignar / liberar memoria sin ayuda del garbage collection (excepto Python)) +- Hacer uso de los tipos incorporados para que tenga experiencia usando las herramientas de tipos incorporados para su uso en el mundo real (no escribiré mi propia implementación de listas enlazadas en producción) -You can see my code here: +Puede que no tenga tiempo de hacer todo esto para cada tema, pero lo intentare. + +Puede ver mi código aquí: - [C](https://github.com/jwasham/practice-c) - [C++](https://github.com/jwasham/practice-cpp) - [Python](https://github.com/jwasham/practice-python) -You don't need to memorize the guts of every algorithm. +No es necesario recordar las entrañas de cada algoritmo. -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. +Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. ## Prerequisite Knowledge From ff9b801d5002d6d03317e9a92f12734fece22a6e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 01:45:16 -0500 Subject: [PATCH 109/236] Links --- translations/README-es.md | 130 ++++++++++++++++++-------------------- 1 file changed, 61 insertions(+), 69 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index dea90d9894..9b6be574a6 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -59,8 +59,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Lista de libros](#lista-de-libros) - [Antes de iniciar](#antes-de-iniciar) - [Lo que no verá cubierto](#lo-que-no-verá-cubierto) -- [Conocimientos Previos](#conocimientos-previos) - [El plan diario](#el-plan-diario) +- [Conocimientos Previos](#conocimientos-previos) - [Complejidad algorítmica / Big-O / Análisis asintótico](#complejidad-algorítmica-big-o-análisis-asintótico) - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) @@ -89,7 +89,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - adjacency matrix - adjacency list - traversals: BFS, DFS -- [Información adicional](#información-adicional) +- [Más información adicional](#más-información-adicional) - [Recursión](#recursión) - [Programación Dinámica](#programación-dinámica) - [Programación Orientada a Objetos](#programación-orientada-a-objetos) @@ -112,7 +112,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) -- [Tu CV](#tu-cv) +- [Su CV](#su-cv) - [Pensando en cuando llegue la entrevista](#pensando-en-cuando-llegue-la-entrevista) - [Preguntas para el entrevistador](#preguntas-para-el-entrevistador) - [Una vez obtenido el empleo](#una-vez-obtenido-el-empleo) @@ -463,21 +463,20 @@ No es necesario recordar las entrañas de cada algoritmo. Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. -## Prerequisite Knowledge +## Conocimientos Previos -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. +- [ ] **Aprenda C** + - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. + - Este es un libro corto, pero le dará una gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. - [answers to questions](https://github.com/lekkas/c-algorithms) -- [ ] **How computers process a program:** +- [ ] **Como las computadoras procesan un programa:** - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement +## Complejidad algorítmica / Big-O / Análisis asintótico +- Nada a implementar - [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) - [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) - [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) @@ -497,14 +496,13 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Cheat sheet](http://bigocheatsheet.com/) - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. + Si algunas de las lecturas son muy matemáticas puede saltar a la parte inferior y ver las matemáticas discretas para tener el conocimiento base. -## Data Structures +## Estructuras de datos -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: +- ### Arreglos + - Implemente un vector automáticamente redimensionable. + - [ ] Descripción: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) @@ -513,8 +511,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. + - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): + - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - [ ] new raw data array with allocated memory - can allocate int array under the hood, just not use its features - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 @@ -539,8 +537,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - contiguous in memory, so proximity helps performance - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) -- ### Linked Lists - - [ ] Description: +- ### Listas Enlazadas + - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) @@ -568,7 +566,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - [ ] reverse() - reverses the list - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List + - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No need to implement @@ -626,9 +624,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - get(key) - remove(key) -## More Knowledge - -- ### Binary search +## Información adicional +- ### Búsqueda binaria - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) @@ -636,7 +633,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - binary search (on sorted array of integers) - binary search using recursion -- ### Bitwise operations +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) @@ -879,9 +876,8 @@ Graphs can be used to represent many problems in computer science, so this secti You'll get more graph practice in Skiena's book (see Books section below) and the interview books -## Even More Knowledge - -- ### Recursion +## Más información adicional +- ### Recursión - [ ] Stanford lectures on recursion & backtracking: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) @@ -892,7 +888,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) -- ### Dynamic Programming +- ### Programación Dinámica - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - [ ] Videos: @@ -917,7 +913,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) -- ### Object-Oriented Programming +- ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Can skip this if you have a great grasp of OO and OO design practices. @@ -938,7 +934,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) -- ### Design patterns +- ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Learn these patterns: - [ ] strategy @@ -1149,8 +1145,8 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - Very technical talk for kernel devs. Don't worry if most is over your head. - The first half is enough. -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** +- ### Redes + - **Si tiene experiencia en redes o quiere se un Ingeniero en Sistemas espere preguntas** - otherwise, this is just good to know - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) @@ -1166,7 +1162,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) -## System Design, Scalability, Data Handling +## Diseño del Sistema, Escalabilidad, Manejo de Datos - **You can expect system design questions if you have 4+ years of experience.** - Scalability and System Design are very large topics with many topics and resources, since there is a lot to consider when designing a software/hardware system that can scale. @@ -1332,7 +1328,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th --- -## Coding Question Practice +## Practica de preguntas de codificación Now that you know all the computer science topics above, it's time to practice answering coding problems. @@ -1372,8 +1368,7 @@ Supplemental: See [Book List above](#book-list) -## Coding exercises/challenges - +## Ejercicios de codificación/Desafíos Once you've learned your brains out, put those brains to work. Take coding challenges every day, as many as you can. @@ -1405,19 +1400,18 @@ Mock Interviews: - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) -## Once you're closer to the interview - +## Una vez cerca de la entrevista - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) -## Your Resume +## Su CV - See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed -## Be thinking of for when the interview comes +## Pensando en cuando llegue la entrevista Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. Have a story, not just data, about something you accomplished. @@ -1435,7 +1429,7 @@ Have a story, not just data, about something you accomplished. - What did you learn at [job x / project y]? - What would you have done better at [job x / project y]? -## Have questions for the interviewer +## Preguntas para el entrevistador Some of mine (I already may know answer to but want their opinion or team perspective): @@ -1449,7 +1443,7 @@ Have a story, not just data, about something you accomplished. - What do you like about it? - What is the work life like? -## Once You've Got The Job +## Una vez obtenido el empleo Congratulations! @@ -1471,8 +1465,7 @@ You're never really done. --- -## Additional Books - +## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - an oldie but a goodie - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) @@ -1485,18 +1478,18 @@ You're never really done. - the canonical design patterns book - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) -## Additional Learning +## Aprendizaje adicional These topics will likely not come up in an interview, but I added them to help you become a well-rounded software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. -- ### Compilers +- ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Emacs and vi(m) +- ### Emacs y Vi(m) - Familiarize yourself with a unix-based code editor - vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) @@ -1517,7 +1510,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) -- ### Unix command line tools +- ### Unix: Herramientas para la línea de comandos - I filled in the list below from good tools. - [ ] bash - [ ] cat @@ -1531,7 +1524,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) -- ### Information theory (videos) +- ### Teoría de la información (videos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - [ ] more about Markov processes: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) @@ -1539,7 +1532,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - See more in MIT 6.050J Information and Entropy series below. -- ### Parity & Hamming Code (videos) +- ### Código de paridad y Hamming (videos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - [ ] Hamming Code: @@ -1547,12 +1540,12 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) -- ### Entropy +- ### Entropía - also see videos below - make sure to watch information theory videos first - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) -- ### Cryptography +- ### Criptografía - also see videos below - make sure to watch information theory videos first - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) @@ -1571,7 +1564,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Computer Security +- ### Seguridad informática - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) @@ -1593,11 +1586,10 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) +- ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) -- ### Messaging, Serialization, and Queueing Systems +- ### Sistemas de mensajería, serialización y colas - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) @@ -1624,7 +1616,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) -- ### Fast Fourier Transform +- ### Transformada rápida de Fourier - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) @@ -1650,10 +1642,10 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) -- ### Augmented Data Structures +- ### Estructuras de datos aumentadas - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Balanced search trees +- ### Árboles de búsqueda equilibrada - Know least one type of balanced binary tree (and know how it's implemented): - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. A particularly interesting self-organizing data structure is the splay tree, which uses rotations @@ -1755,7 +1747,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) -- ### Network Flows +- ### Flujos de red - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) @@ -1764,7 +1756,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) -- ### Math for Fast Processing +- ### Matemáticas para procesamiento rápido - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) @@ -1774,18 +1766,18 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) -- ### Linear Programming (videos) +- ### Programación Lineal (videos) - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) -- ### Geometry, Convex hull (videos) +- ### Geometría, casco convexo (videos) - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) -- ### Discrete math +- ### Matemáticas discretas - see videos below - ### Machine Learning @@ -1817,7 +1809,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo -- -## Additional Detail on Some Subjects +## Detalles adicionales de ciertos temas I added these to reinforce some ideas already presented above, but didn't want to include them above because it's just too much. It's easy to overdo it on a subject. @@ -1887,7 +1879,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Video Series +## Series de videos Sit back and enjoy. "Netflix and skill" :P @@ -1951,7 +1943,7 @@ Sit back and enjoy. "Netflix and skill" :P - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) -## Computer Science Courses +## Cursos de Informática - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) From a520c1596f608fb479d7e87a410ccd20c0356460 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 03:57:35 -0500 Subject: [PATCH 110/236] Redesigning the structure I've been thinking deeply that maybe translating only the titles, topics, and comments are not so useful to people who can't understand English. Although understanding English is essential. It make no sense to do a translation if the resource is in English and the titles in another language. So I propose to give alternatives resources to the translated language to approximate the result to the original given. To make this process easier I will do some mock-ups. In the case of video lessons I would try to synthesize the information like a flashcard. (As the author did for remember the lessons). --- translations/{README-ar.md => ar/README.md} | 0 translations/{README-cn.md => cn/README.md} | 0 translations/{README-es.md => es/README.md} | 0 translations/{README-fr.md => fr/README.md} | 0 translations/{README-he.md => he/README.md} | 0 translations/{README-hi.md => hi/README.md} | 0 translations/{README-id.md => id/README.md} | 0 translations/{README-ko.md => ko/README.md} | 0 translations/{ => mock-up}/how-to.md | 0 translations/{README-pl.md => pl/README.md} | 0 translations/{README-th.md => th/README.md} | 0 translations/{README-uk.md => uk/README.md} | 0 translations/{README-vi.md => vi/README.md} | 0 13 files changed, 0 insertions(+), 0 deletions(-) rename translations/{README-ar.md => ar/README.md} (100%) rename translations/{README-cn.md => cn/README.md} (100%) rename translations/{README-es.md => es/README.md} (100%) rename translations/{README-fr.md => fr/README.md} (100%) rename translations/{README-he.md => he/README.md} (100%) rename translations/{README-hi.md => hi/README.md} (100%) rename translations/{README-id.md => id/README.md} (100%) rename translations/{README-ko.md => ko/README.md} (100%) rename translations/{ => mock-up}/how-to.md (100%) rename translations/{README-pl.md => pl/README.md} (100%) rename translations/{README-th.md => th/README.md} (100%) rename translations/{README-uk.md => uk/README.md} (100%) rename translations/{README-vi.md => vi/README.md} (100%) diff --git a/translations/README-ar.md b/translations/ar/README.md similarity index 100% rename from translations/README-ar.md rename to translations/ar/README.md diff --git a/translations/README-cn.md b/translations/cn/README.md similarity index 100% rename from translations/README-cn.md rename to translations/cn/README.md diff --git a/translations/README-es.md b/translations/es/README.md similarity index 100% rename from translations/README-es.md rename to translations/es/README.md diff --git a/translations/README-fr.md b/translations/fr/README.md similarity index 100% rename from translations/README-fr.md rename to translations/fr/README.md diff --git a/translations/README-he.md b/translations/he/README.md similarity index 100% rename from translations/README-he.md rename to translations/he/README.md diff --git a/translations/README-hi.md b/translations/hi/README.md similarity index 100% rename from translations/README-hi.md rename to translations/hi/README.md diff --git a/translations/README-id.md b/translations/id/README.md similarity index 100% rename from translations/README-id.md rename to translations/id/README.md diff --git a/translations/README-ko.md b/translations/ko/README.md similarity index 100% rename from translations/README-ko.md rename to translations/ko/README.md diff --git a/translations/how-to.md b/translations/mock-up/how-to.md similarity index 100% rename from translations/how-to.md rename to translations/mock-up/how-to.md diff --git a/translations/README-pl.md b/translations/pl/README.md similarity index 100% rename from translations/README-pl.md rename to translations/pl/README.md diff --git a/translations/README-th.md b/translations/th/README.md similarity index 100% rename from translations/README-th.md rename to translations/th/README.md diff --git a/translations/README-uk.md b/translations/uk/README.md similarity index 100% rename from translations/README-uk.md rename to translations/uk/README.md diff --git a/translations/README-vi.md b/translations/vi/README.md similarity index 100% rename from translations/README-vi.md rename to translations/vi/README.md From 15fd73c7e11fc1c950e1137753bf3c24f0b6e0ed Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Tue, 23 May 2017 07:33:56 -0500 Subject: [PATCH 111/236] Build the presentation Need to rebuild the Google presentation from the video because the link was closed. This presentation can be used to translate it to other languages. 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el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1o}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 pasado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 no}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 diferencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trate}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicio}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ( }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudiando}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 tiempo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 completo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mis}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 habilidades}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comercial}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ), }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 objetivo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 adquirido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 (}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 esta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 caso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 contratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ) }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 compa\'f1\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 grande}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0 +\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 debe}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 saber}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fueron}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muy}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 dif\'edciles}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollador}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 web}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autodidacta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 quince}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 plan}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ciencias}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Computaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tom\'f3}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 practicar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 entrevista}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 pizarra}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 El}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 factor}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 motivante}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 iniciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 nueva}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 carrera}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Software}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 +\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 Bueno}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sali}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 zona}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 confort}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muchos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 amigos}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 conecte}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 cada}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 gigante}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tecnol\'f3gico}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Noroeste}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Pac\'edfico}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 De}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 todos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ellos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 se}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 destac\'f3}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 empresa}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 innovadora}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 10 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 Me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 present\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trav\'e9s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 referencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 quien}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hab\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 conocido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 evento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 del}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 2013, }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 proceso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 enlistamiento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb +\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Despu\'e9s} +{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tantos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 esfuerzo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sacrificio}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 preocupaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sin}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 parar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 complace}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 anunciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 finalmente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 lo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 logr\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 +\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Hoy}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acepte}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 oferta}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Desarrollo}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Software}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22 +\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 com}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par} +\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trabajar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 es}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sue\'f1o}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 vuelto}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 realidad}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trabajar\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 equipo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 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gobernanza}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Las}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n} +{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 permiten}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 administradores}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 +\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 crear}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comprueban}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autom\'e1ticamente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 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}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 registrados}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Config}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 as\'ed}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 +\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 definir}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 +\hich\f2\strike0\ulnone\cf1 las}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acciones}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 +\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 puede}{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tomar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 +\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 solucionar}{ +\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 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3;\lsdpriority63 Medium Shading 1 Accent 3;\lsdpriority64 Medium Shading 2 Accent 3;\lsdpriority65 Medium List 1 Accent 3;\lsdpriority66 Medium List 2 Accent 3 +;\lsdpriority67 Medium Grid 1 Accent 3;\lsdpriority68 Medium Grid 2 Accent 3;\lsdpriority69 Medium Grid 3 Accent 3;\lsdpriority70 Dark List Accent 3;\lsdpriority71 Colorful Shading Accent 3;\lsdpriority72 Colorful List Accent 3;\lsdpriority73 Colorful Grid Accent 3 +;\lsdpriority60 Light Shading Accent 4;\lsdpriority61 Light List Accent 4;\lsdpriority62 Light Grid Accent 4;\lsdpriority63 Medium Shading 1 Accent 4;\lsdpriority64 Medium Shading 2 Accent 4;\lsdpriority65 Medium List 1 Accent 4;\lsdpriority66 Medium List 2 Accent 4 +;\lsdpriority67 Medium Grid 1 Accent 4;\lsdpriority68 Medium Grid 2 Accent 4;\lsdpriority69 Medium Grid 3 Accent 4;\lsdpriority70 Dark List Accent 4;\lsdpriority71 Colorful Shading Accent 4;\lsdpriority72 Colorful List Accent 4;\lsdpriority73 Colorful Grid Accent 4 +;\lsdpriority60 Light Shading Accent 5;\lsdpriority61 Light List Accent 5;\lsdpriority62 Light Grid Accent 5;\lsdpriority63 Medium Shading 1 Accent 5;\lsdpriority64 Medium Shading 2 Accent 5;\lsdpriority65 Medium List 1 Accent 5;\lsdpriority66 Medium List 2 Accent 5 +;\lsdpriority67 Medium Grid 1 Accent 5;\lsdpriority68 Medium Grid 2 Accent 5;\lsdpriority69 Medium Grid 3 Accent 5;\lsdpriority70 Dark List Accent 5;\lsdpriority71 Colorful Shading Accent 5;\lsdpriority72 Colorful List Accent 5;\lsdpriority73 Colorful Grid Accent 5 +;\lsdpriority60 Light Shading Accent 6;\lsdpriority61 Light List Accent 6;\lsdpriority62 Light Grid Accent 6;\lsdpriority63 Medium Shading 1 Accent 6;\lsdpriority64 Medium Shading 2 Accent 6;\lsdpriority65 Medium List 1 Accent 6;\lsdpriority66 Medium List 2 Accent 6 +;\lsdpriority67 Medium Grid 1 Accent 6;\lsdpriority68 Medium Grid 2 Accent 6;\lsdpriority69 Medium Grid 3 Accent 6;\lsdpriority70 Dark List Accent 6;\lsdpriority71 Colorful Shading Accent 6;\lsdpriority72 Colorful List Accent 6;\lsdpriority73 Colorful Grid Accent 6 +;\lsdqformat1\lsdpriority19 Subtle Emphasis;\lsdqformat1\lsdpriority21 Intense Emphasis;\lsdqformat1\lsdpriority31 Subtle Reference;\lsdqformat1\lsdpriority32 Intense Reference;\lsdqformat1\lsdpriority33 Book Title;\lsdsemihidden1\lsdunhideused1\lsdpriority37 Bibliography +;\lsdsemihidden1\lsdunhideused1\lsdqformat1\lsdpriority39 TOC Heading;}}} \ No newline at end of file From 3ecf81940970a8b863369ce7de769efa0685f262 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:01:16 -0500 Subject: [PATCH 115/236] Test of link the translated article --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 9b6be574a6..981385b85f 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.rtf) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From ffe38155404eba933dfd935734ce0b51bbdd87cd Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:06:19 -0500 Subject: [PATCH 116/236] Create AdquiridoAmazon.md --- translations/es/src/AdquiridoAmazon.md | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) create mode 100644 translations/es/src/AdquiridoAmazon.md diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md new file mode 100644 index 0000000000..489ccf6a03 --- /dev/null +++ b/translations/es/src/AdquiridoAmazon.md @@ -0,0 +1,16 @@ +Fui adquirido por Amazon +06 Marzo 2017 + +Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. +Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. +Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. + +Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! + +Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com. +Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de Amazon Web Services Config. He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. + + + + +AWS Config es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. From 60b7bd6df3b11004736d863787052144132725d5 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:15:37 -0500 Subject: [PATCH 117/236] Formatting to be similar to the original source. --- translations/es/src/AdquiridoAmazon.md | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md index 489ccf6a03..db0eb1d8d4 100644 --- a/translations/es/src/AdquiridoAmazon.md +++ b/translations/es/src/AdquiridoAmazon.md @@ -1,16 +1,22 @@ -Fui adquirido por Amazon -06 Marzo 2017 +## [Fuente (Texto en Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) + +# Fui adquirido por Amazon +### 06 Marzo 2017 + Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. + + Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. + + Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! -Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com. -Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de Amazon Web Services Config. He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. - - +**Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com.** +Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de [Amazon Web Services Config](https://aws.amazon.com/config/). He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. + ![Amazon Web Services](https://d2mw6vgfxwlz2a.cloudfront.net/2017/03Amazon_Web_Services_Logo-1488839386502.png) -AWS Config es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. +[AWS Config](https://aws.amazon.com/config/) es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. 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m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comercial}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ), }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 objetivo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ser}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 adquirido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 (}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 esta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 caso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 contratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ) }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 compa\'f1\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 grande}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0 -\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 debe}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 saber}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 once}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fueron}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muy}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 dif\'edciles}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 desarrollador}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 web}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autodidacta}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 quince}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 plan}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 estudios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ciencias}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Computaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tom\'f3}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 practicar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 entrevista}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 pizarra}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 El}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 factor}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 motivante}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 fue}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 iniciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 nueva}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 carrera}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Software}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 -\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 Bueno}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sali}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 mi}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 zona}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 confort}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 muchos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 amigos}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 conecte}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 con}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 cada}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 gigante}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tecnol\'f3gico}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Noroeste}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Pac\'edfico}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 De}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 todos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 ellos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 se}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 destac\'f3}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 empresa}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 m\'e1s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 innovadora}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 \'faltimos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 10 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a\'f1os}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 Me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 present\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 trav\'e9s}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 referencia}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 quien}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hab\'eda}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 conocido}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 evento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 inicios}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 del}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 2013, }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 e}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 hice}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 el}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 proceso}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 enlistamiento}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb -\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Despu\'e9s} -{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tantos}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 meses}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 esfuerzo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sacrificio}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 preocupaci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 sin}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 parar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 me}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 complace}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 anunciar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 finalmente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 lo}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 logr\'e9}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 !}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0 -\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Hoy}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acepte}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 una}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 oferta}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 un}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Ingeniero}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Desarrollo}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Software}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Amazon}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22 -\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 com}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab\ai0\af2\afs22\ltrch\b\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par} -\pard\plain\itap0\s0\ilvl0\fi0\sb0\sa0\aspalpha\aspnum\adjustright\brdrt\brdrl\brdrb\brdrr\brdrbtw\brdrbar\widctlpar\ltrpar\li0\lin0\ri0\rin0\ql\faauto\sl276\slmult1\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Trabajar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 en}{ 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"https://aws.amazon.com/config/"}}{\fldrslt{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ul\cf2 }}}{\field{\*\fldinst{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1 HYPERLINK "https://aws.amazon.com/config/"}}{\fldrslt{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ul\cf2 Config}}}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 He}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tratado}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22 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habilitar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 seguridad}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 y}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 gobernanza}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 . }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Las}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n} -{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 permiten}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 a}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 administradores}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 crear}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 reglas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 comprueban}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autom\'e1ticamente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 la}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 configuraci\'f3n}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 los}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 recursos}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 de}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 registrados}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 por}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 Config}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 , }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 as\'ed}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 como}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 definir}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2 -\hich\f2\strike0\ulnone\cf1 las}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 acciones}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22 -\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 que}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 AWS}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 puede}{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 tomar}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22 -\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 para}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 solucionar}{ -\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 problemas}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0 -\ulnone\cf1 }{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 autom\'e1ticamente}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2\dbch\af2\hich\f2\strike0\ulnone\cf1 .}{\rtlch\ab0\ai0\af2\afs22\ltrch\b0\i0\fs22\loch\af2 -\dbch\af2\hich\f2\insrsid10976062\strike0\ulnone\cf1\par}{\*\latentstyles\lsdstimax267\lsdlockeddef0\lsdsemihiddendef0\lsdunhideuseddef0\lsdqformatdef0\lsdprioritydef0{\lsdlockedexcept\lsdqformat1 Normal;\lsdqformat1 heading 1;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 2;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 3 -;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 4;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 5;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 6;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 7;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 8 -;\lsdsemihidden1\lsdunhideused1\lsdqformat1 heading 9;\lsdsemihidden1\lsdunhideused1\lsdqformat1 caption;\lsdqformat1 Title;\lsdqformat1 Subtitle;\lsdqformat1 Strong;\lsdqformat1 Emphasis;\lsdsemihidden1\lsdpriority99 Placeholder Text;\lsdqformat1\lsdpriority1 No Spacing -;\lsdpriority60 Light Shading;\lsdpriority61 Light List;\lsdpriority62 Light Grid;\lsdpriority63 Medium Shading 1;\lsdpriority64 Medium Shading 2;\lsdpriority65 Medium List 1;\lsdpriority66 Medium List 2;\lsdpriority67 Medium Grid 1;\lsdpriority68 Medium Grid 2 -;\lsdpriority69 Medium Grid 3;\lsdpriority70 Dark List;\lsdpriority71 Colorful Shading;\lsdpriority72 Colorful List;\lsdpriority73 Colorful Grid;\lsdpriority60 Light Shading Accent 1;\lsdpriority61 Light List Accent 1;\lsdpriority62 Light Grid Accent 1;\lsdpriority63 Medium Shading 1 Accent 1 -;\lsdpriority64 Medium Shading 2 Accent 1;\lsdpriority65 Medium List 1 Accent 1;\lsdsemihidden1\lsdpriority99 Revision;\lsdqformat1\lsdpriority34 List Paragraph;\lsdqformat1\lsdpriority29 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3;\lsdpriority63 Medium Shading 1 Accent 3;\lsdpriority64 Medium Shading 2 Accent 3;\lsdpriority65 Medium List 1 Accent 3;\lsdpriority66 Medium List 2 Accent 3 -;\lsdpriority67 Medium Grid 1 Accent 3;\lsdpriority68 Medium Grid 2 Accent 3;\lsdpriority69 Medium Grid 3 Accent 3;\lsdpriority70 Dark List Accent 3;\lsdpriority71 Colorful Shading Accent 3;\lsdpriority72 Colorful List Accent 3;\lsdpriority73 Colorful Grid Accent 3 -;\lsdpriority60 Light Shading Accent 4;\lsdpriority61 Light List Accent 4;\lsdpriority62 Light Grid Accent 4;\lsdpriority63 Medium Shading 1 Accent 4;\lsdpriority64 Medium Shading 2 Accent 4;\lsdpriority65 Medium List 1 Accent 4;\lsdpriority66 Medium List 2 Accent 4 -;\lsdpriority67 Medium Grid 1 Accent 4;\lsdpriority68 Medium Grid 2 Accent 4;\lsdpriority69 Medium Grid 3 Accent 4;\lsdpriority70 Dark List Accent 4;\lsdpriority71 Colorful Shading Accent 4;\lsdpriority72 Colorful List Accent 4;\lsdpriority73 Colorful Grid Accent 4 -;\lsdpriority60 Light Shading Accent 5;\lsdpriority61 Light List Accent 5;\lsdpriority62 Light Grid Accent 5;\lsdpriority63 Medium Shading 1 Accent 5;\lsdpriority64 Medium Shading 2 Accent 5;\lsdpriority65 Medium List 1 Accent 5;\lsdpriority66 Medium List 2 Accent 5 -;\lsdpriority67 Medium Grid 1 Accent 5;\lsdpriority68 Medium Grid 2 Accent 5;\lsdpriority69 Medium Grid 3 Accent 5;\lsdpriority70 Dark List Accent 5;\lsdpriority71 Colorful Shading Accent 5;\lsdpriority72 Colorful List Accent 5;\lsdpriority73 Colorful Grid Accent 5 -;\lsdpriority60 Light Shading Accent 6;\lsdpriority61 Light List Accent 6;\lsdpriority62 Light Grid Accent 6;\lsdpriority63 Medium Shading 1 Accent 6;\lsdpriority64 Medium Shading 2 Accent 6;\lsdpriority65 Medium List 1 Accent 6;\lsdpriority66 Medium List 2 Accent 6 -;\lsdpriority67 Medium Grid 1 Accent 6;\lsdpriority68 Medium Grid 2 Accent 6;\lsdpriority69 Medium Grid 3 Accent 6;\lsdpriority70 Dark List Accent 6;\lsdpriority71 Colorful Shading Accent 6;\lsdpriority72 Colorful List Accent 6;\lsdpriority73 Colorful Grid Accent 6 -;\lsdqformat1\lsdpriority19 Subtle Emphasis;\lsdqformat1\lsdpriority21 Intense Emphasis;\lsdqformat1\lsdpriority31 Subtle Reference;\lsdqformat1\lsdpriority32 Intense Reference;\lsdqformat1\lsdpriority33 Book Title;\lsdsemihidden1\lsdunhideused1\lsdpriority37 Bibliography -;\lsdsemihidden1\lsdunhideused1\lsdqformat1\lsdpriority39 TOC Heading;}}} \ No newline at end of file From e1c857623ae6569ab4dce281fabd5ec4230048e9 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:49:43 -0500 Subject: [PATCH 119/236] Linked correct AdquiridoAmazon --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 981385b85f..9a061546b0 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.rtf) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.md) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From b101165253c00cde917e4c8f9ac9cce95edf970d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 14:51:14 -0500 Subject: [PATCH 120/236] Corrected name article --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 9a061546b0..874c51b55c 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon! (Art. En Inglés)](src/AdquiridoAmazon.md) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From eae1d2f1df91f4a3e3b006eeadac7c7f3c277a2a Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 17:04:52 -0500 Subject: [PATCH 121/236] Add a space in description --- translations/es/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/translations/es/README.md b/translations/es/README.md index 874c51b55c..37a923be2b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -3,6 +3,8 @@ - Versión original: [Inglés](README.md) > Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) + + > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. > > Los elementos listados aquí le prepararan bien para una entrevista en cualquier compañía de software, incluyendo a los gigantes: Amazon, Facebook, Google o Microsoft. From 1dfb81886cadc783151b9f6f117d4c214e2d3cca Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Wed, 24 May 2017 17:27:56 -0500 Subject: [PATCH 122/236] Graphs --- translations/es/.~lock.README.md# | 1 + translations/es/README.md | 26 +++++++++++++------------- 2 files changed, 14 insertions(+), 13 deletions(-) create mode 100644 translations/es/.~lock.README.md# diff --git a/translations/es/.~lock.README.md# b/translations/es/.~lock.README.md# new file mode 100644 index 0000000000..dc997706be --- /dev/null +++ b/translations/es/.~lock.README.md# @@ -0,0 +1 @@ +,enrique.saucedo,localhost.dev,24.05.2017 17:27,file:///home/enrique.saucedo/.config/libreoffice/4; \ No newline at end of file diff --git a/translations/es/README.md b/translations/es/README.md index 37a923be2b..f90f1c2a4c 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -85,7 +85,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - heapsort - quicksort - merge sort -- [Graphs](#graphs) +- [Grafos](#grafos) - directed - undirected - adjacency matrix @@ -820,19 +820,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) -## Graphs +## Grafos -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. +Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los trees y sorting. -- Notes: - - There are 4 basic ways to represent a graph in memory: - - objects and pointers - - adjacency matrix - - adjacency list - - adjacency map - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. +- Notas: + - Hay cuatro formas básicas de representar un grafo en memoria: + - Objetos y apuntadores + - Matriz adyacente + - Lista adyacente + - Mapa adyacente + - Familiarícese con cada representación y sus pros y contras + - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real + - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. - [ ] Skiena Lectures - great intro: - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) @@ -876,7 +876,7 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] list strongly connected components - [ ] check for bipartite graph -You'll get more graph practice in Skiena's book (see Books section below) and the interview books +Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional - ### Recursión From 23d04836171e797e36445e8b326734dd2a9a92d6 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 02:16:44 -0500 Subject: [PATCH 123/236] Delete .~lock.README.md# --- translations/es/.~lock.README.md# | 1 - 1 file changed, 1 deletion(-) delete mode 100644 translations/es/.~lock.README.md# diff --git a/translations/es/.~lock.README.md# b/translations/es/.~lock.README.md# deleted file mode 100644 index dc997706be..0000000000 --- a/translations/es/.~lock.README.md# +++ /dev/null @@ -1 +0,0 @@ -,enrique.saucedo,localhost.dev,24.05.2017 17:27,file:///home/enrique.saucedo/.config/libreoffice/4; \ No newline at end of file From 0bd4ce3a8a634f899585738f0a78ad2073667f2c Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 03:16:19 -0500 Subject: [PATCH 124/236] Translated missed titles Using wikipedia to have a best translation all the elements were checked with their analogue in English. --- .gitignore | 1 + translations/es/README.md | 68 +++++++++++++++++++-------------------- 2 files changed, 35 insertions(+), 34 deletions(-) diff --git a/.gitignore b/.gitignore index cff2525ded..e8fbd5fe43 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,4 @@ personal-9894.md ~$ADME-es.txt translations/~$ADME-es.md +translations/es/~$README.md diff --git a/translations/es/README.md b/translations/es/README.md index f90f1c2a4c..4cca6c36a6 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -67,48 +67,48 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Estructuras de datos](#estructuras-de-datos) - [Arreglos](#arreglos) - [Listas Enlazadas](#listas-enlazadas) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) + - [Pila](#pila) + - [Cola o fila](#cola-o-fila) + - [Matriz asociativa](#matriz-asociativa) - [Información adicional](#información-adicional) - [Búsqueda binaria](#búsqueda-binaria) - [Operaciones bit a bit](#operaciones-bit-bit) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort +- [Árboles](#árboles) + - [Árboles - Notas & Antecedentes](#árboles---notas--antecedentes) + - [Árboles de búsqueda binaria: BSTs](#árboles-de-búsqueda-binaria-bsts) + - [Montículo / Colas de Prioridad / Montículo binario](#montículo--colas-de-prioridad--montículo-binario) + - Árboles de búsqueda balanceables (Concepto General, sin detallar) + - Recorridos: preorder, inorder, postorder, BFS, DFS +- [Ordenamientos](#ordenamientos) + - Selección + - Inserción + - Por montículos (heapsort) + - Rápido (quicksort) + - Por mezcla (merge sort) - [Grafos](#grafos) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS + - Dirigidos + - No dirigidos + - Matriz de adyacencia + - Lista de adyacencia + - Recorridos: BFS, DFS - [Más información adicional](#más-información-adicional) - [Recursión](#recursión) - [Programación Dinámica](#programación-dinámica) - [Programación Orientada a Objetos](#programación-orientada-a-objetos) - [Patrones de diseño](#patrones-de-diseño) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) + - [Combinatorias (n elije k) & Probabilidad](combinatorias-n-elije-k--probabilidad) + - [NP, NP-Completo y Algoritmos de aproximación](#np-np-completo-y-algoritmos-de-aproximación) + - [Memoria cache](#memoria-cache) + - [Procesos e hilos](#procesos-e-hilos) + - [Documentos](#documentos) + - [Pruebas](#pruebas) + - [Planificador](#planificador) + - [Implementar rutinas del sistema](#implementar-rutinas-del-sistema) + - [Búsqueda de cadenas y manipulaciones](#búsqueda-de-cadenas-y-manipulaciones) - [Tries](#tries) - - [Floating Point Numbers](#floating-point-numbers) + - [Números de punto flotante](#números-de-punto-flotante) - [Unicode](#unicode) - - [Endianness](#endianness) + - [Extremidad (Endianness)](#extremidad-endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) @@ -827,9 +827,9 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Notas: - Hay cuatro formas básicas de representar un grafo en memoria: - Objetos y apuntadores - - Matriz adyacente - - Lista adyacente - - Mapa adyacente + - Matriz adyacente + - Lista adyacente + - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. From 070835e2c9cfcf5814a921c20a95fc680a68b649 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 03:53:05 -0500 Subject: [PATCH 125/236] Optional titles translated --- translations/es/README.md | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 4cca6c36a6..676f0e61a1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -130,37 +130,37 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Código de paridad y Hamming](#código-de-paridad-y-hamming) - [Entropía](#entropía) - [Criptografía](#criptografía) - - [Compression](#compression) + - [Compresión](#compresión) - [Seguridad informática](#seguridad-informática) - [Garbage collection](#garbage-collection) - [Programación en paralelo](#programacion-en-paralelo) - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) - [Transformada rápida de Fourier](#transformada-rápida-de-fourier) - - [Bloom Filter](#bloom-filter) + - [Filtro de Bloom](#filtro-de-bloom) - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) + - [Hashing sensible a la localidad](#hashing-sensible-a-la-localidad) + - [Árboles van Emde Boa](#árboles-van-emde-boas) - [Estructuras de datos aumentadas](#estructuras-de-datos-aumentadas) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Árboles N-avo (K-avo, M-avo)](#árboles-n-avo-k-avo-m-avo) - [Árboles de búsqueda equilibrada](#árboles-de-búsqueda-equilibrada) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) + - Árboles AVL + - Árboles biselados + - Árboles rojos/negros + - Árboles de búsqueda 2-3 + - Árboles 2-3-4 (aka Árboles 2-4) + - Árboles N-avo (K-avo, M-avo) + - Árboles-B + - [Árboles k-D](#árboles-k-d) + - [Lista por saltos](#listas-por-saltos) - [Flujos de red](#flujos-de-red) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Matemáticas para procesamiento rápido](#mmatemáticas-para-procesamiento-rápido) + - [Conjuntos disjuntos & Encontrar unión](#conjuntos-disjuntos-encontrar-unión) + - [Matemáticas para procesamiento rápido](#matemáticas-para-procesamiento-rápido) - [Treap](#treap) - [Programación Lineal](#programación-lineal) - [Geometría, casco convexo](#geometría-casco-convexo) - [Matemáticas discretas](#matemáticas-discretas) - - [Machine Learning](#machine-learning) + - [Aprendizaje automático](#aprendizaje-automático) - [Detalles adicionales de ciertos temas](#detalles-adicionales-de–ciertos-temas) - [Series de videos](#series-de-videos) - [Cursos de Informática](#cursos-de-informática) @@ -171,7 +171,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. From c3e6afb4e204c62f199ecc73b3f4bbbda7eaddd4 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:11:13 -0500 Subject: [PATCH 126/236] Array --- translations/es/README.md | 74 +++++++++++++++++++-------------------- 1 file changed, 37 insertions(+), 37 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 676f0e61a1..96b9313eaa 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -470,7 +470,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] **Aprenda C** - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - Este es un libro corto, pero le dará una gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. + - Este es un libro corto, pero le dará un gran manejo en el lenguaje C y si lo practica un poco, rápidamente conseguirá ser experto. Comprender C le ayuda a entender cómo funcionan los programas y la memoria. - [answers to questions](https://github.com/lekkas/c-algorithms) - [ ] **Como las computadoras procesan un programa:** @@ -515,54 +515,54 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold + - [ ] Nueva arreglo de información primaria con memoria asignada + - Puede asignar un arreglo entero, simplemente no use sus características + - Empiece con 16, o si el número inicial es mayor, use potencias del 2 - 16, 32, 64, 128 + - [ ] size() – Número de elementos + - [ ] capacity() – Número de elementos soportados - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds + - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) + - [ ] insert(index, item) – Inserta el elemento en el índice, intercambia el valor del índice y desplaza los elementos a la derecha + - [ ] prepend(item) – Puede usar para insertar encima del índice 0 + - [ ] pop() – Elimina del final, regresa el valor + - [ ] delete(index) – Elimina el elemento en el índice, intercambia todos desplazándolos a la izquierda + - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) + - [ ] find(item) – Busca el valor y regresa el primer índice con ese valor, -1 si no encuentra + - [ ] resize(Nueva capacidad) // Función privada + - Cuando alcance el límite, redimensiona al doble el tamaño + - Cuando se haga “pop” a un elemento, si el tamaño es 1/4 de la capacidad, redimensiona a la mitad + - [ ] Tiempo + - O(1) Para añadir/eliminar al final (Amortizado para asignaciones por más espacio), índice o actualización + - O(n) Para insertar/eliminar donde sea + - [ ] Espacio + - Contiguo en la memoria, por lo que la proximidad ayuda al rendimiento + - Espacio necesario = (capacidad de matriz, que es> = n) * tamaño del elemento, pero incluso si 2n, todavía O (n)) - ### Listas Enlazadas - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: + - No todo el video, solo porciones acerca de la estructura de nodos y la asignación de memoria. + - [ ] Listas enlazadas vs Arreglos: - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. + - [ ] Gotcha: Necesita tener conocimiento del apuntador a apuntador: + (Cuando se pasa un apuntador a una función este puede cambiar la dirección a la que el apuntador apunta) + Esta página es sólo para tener una idea sobre un apuntador a un apuntador. No recomiendo esta lista de estilo transversal. La legibilidad y sostenibilidad sufren debido a la astucia. - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item + - [ ] Implemente (Lo hice con y sin un puntero de cola): + - [ ] size() – Regresa el número de elementos en la lista + - [ ] empty() – Un bool que regresa verdadero si esta vacío + - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) + - [ ] push_front(value) – Añade un elemento al frente de la lista + - [ ] pop_front() – Elimina el elemento frontal y regresa su valor + - [ ] push_back(value) – Añade un elemento al final + - [ ] pop_back() – Elimina el último elemento y devuelve su valor + - [ ] front() – Obtiene el valor del elemento frontal + - [ ] back() – Obtiene el valor del último elemento - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - [ ] erase(index) - removes node at given index - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list From fcbd97f845dd94d40d73d5501e7e6dc631fff796 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:24:03 -0500 Subject: [PATCH 127/236] Linked list --- translations/es/README.md | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 96b9313eaa..51aa18160e 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -555,7 +555,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - [ ] Implemente (Lo hice con y sin un puntero de cola): - [ ] size() – Regresa el número de elementos en la lista - - [ ] empty() – Un bool que regresa verdadero si esta vacío + - [ ] empty() – Un bool que regresa verdadero si está vacío - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) - [ ] push_front(value) – Añade un elemento al frente de la lista - [ ] pop_front() – Elimina el elemento frontal y regresa su valor @@ -563,15 +563,14 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] pop_back() – Elimina el último elemento y devuelve su valor - [ ] front() – Obtiene el valor del elemento frontal - [ ] back() – Obtiene el valor del último elemento - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value + - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice + - [ ] erase(index) – Borra el nodo del índice dado + - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista + - [ ] reverse() – Pone al revés toda la lista + - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - + - No es necesario - ### Stack - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) From 4d8b3528c72ec07a9a4cc5be5cd9a17ea4d137b1 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:25:32 -0500 Subject: [PATCH 128/236] Stack --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 51aa18160e..a3d296308b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -571,10 +571,10 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - No es necesario -- ### Stack +- ### Pila - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. + - [ ] No implementaré. Implementando con arreglos es trivial. - ### Queue - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) From 6df2744ce21863d2110b36ee9f11b29dd27d2b34 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:33:47 -0500 Subject: [PATCH 129/236] Queue --- translations/es/README.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index a3d296308b..826ed5b304 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -576,26 +576,26 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - [ ] No implementaré. Implementando con arreglos es trivial. -- ### Queue +- ### Cola o fila - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) + - [ ] Implementar usando listas enlazadas, con el puntero de la cola: + - enqueue(value) – Añade el valor en la posición de la cola + - dequeue() – Regresa el valor y elimina el valor más recientemente añadido(frontal) - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element + - [ ] Implementar usando arreglos de tamaño fijo: + - enqueue(value) – Añade elemento al final del almacenamiento disponible + - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido - empty() - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) + - [ ] Costo: + - Una mala implementación usando lista enlazada donde se enqueue en la cabeza y dequeue en la cola sería O (n) + Porque usted necesitaría el siguiente al último elemento, causando un recorrido completo cada dequeue + - enqueue: O(1) (amortizado, Lista enlazada y arreglo [probando]) + - dequeue: O(1) (Lista enlazada y arreglo) + - empty: O(1) (Lista enlazada y arreglo) - ### Hash table - [ ] Videos: @@ -606,7 +606,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - [ ] Online Courses: + - [ ] Cursos en línea: - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) From 7f4f4926af1f80723904089cb3ae8de698c87058 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:34:44 -0500 Subject: [PATCH 130/236] Hash table --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 826ed5b304..618c92b385 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -597,7 +597,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - dequeue: O(1) (Lista enlazada y arreglo) - empty: O(1) (Lista enlazada y arreglo) -- ### Hash table +- ### Matriz asociativa - [ ] Videos: - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) From a1493d4614dc8ac1dd4eb2f80466c33c9ca28d22 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:37:59 -0500 Subject: [PATCH 131/236] Hash Table corrections --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 618c92b385..ae3d0f58ce 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -593,7 +593,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Costo: - Una mala implementación usando lista enlazada donde se enqueue en la cabeza y dequeue en la cola sería O (n) Porque usted necesitaría el siguiente al último elemento, causando un recorrido completo cada dequeue - - enqueue: O(1) (amortizado, Lista enlazada y arreglo [probando]) + - enqueue: O(1) (amortizado, Lista enlazada y arreglo [sondaje]) - dequeue: O(1) (Lista enlazada y arreglo) - empty: O(1) (Lista enlazada y arreglo) @@ -618,9 +618,9 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value + - [ ] Implementar con arreglo usando sondaje lineal + - hash(k, m) - m es el tamaño de la matriz asociativa + - add(key, value) – Si la llave ya existe , actualiza el valor - exists(key) - get(key) - remove(key) From 1f188a3a690ff70b50a5863855ddf9c20fbca566 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 13:48:40 -0500 Subject: [PATCH 132/236] Trees --- translations/es/README.md | 43 +++++++++++++++++++-------------------- 1 file changed, 21 insertions(+), 22 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ae3d0f58ce..73a4f9682a 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -630,15 +630,15 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implement: - - binary search (on sorted array of integers) - - binary search using recursion + - [ ] Implementar: + - Búsqueda binaria (en un arreglo ordenado de enteros) + - Búsqueda binaria usando recursión - ### Operaciones bit a bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Get a really good understanding of manipulating bits with: &, |, ^, ~, >>, << + - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - Debería conocer varias de las potencias de 2 a partir de (2^1 to 2^16 and 2^32) + - [ ] Obtenga un buen entendimiento de la manipulación de bits con: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Good intro: + - [ ] Buena introducción: [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) @@ -661,26 +661,25 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] absolute value: - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) -## Trees - -- ### Trees - Notes & Background +## Árboles +- ### Árboles - Notas & Antecedentes - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) + - Construcción básica de árboles + - Recorrido + - Algoritmos de manipulación + - BFS (búsqueda en amplitud) - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) + - Orden de nivel(BFS, usando colas) + Tiempo de complejidad: O(n) + Espacio de complejidad: Mejor: O(1), Peor: O(n/2)=O(n) + - DFS (búsqueda en profundidad) - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) + - Notas: + Tiempo de complejidad: O(n) + Espacio de complejidad: + Mejor: O(log n) – Promedio de la altura del árbol + Peor: O(n) - inorder (DFS: left, self, right) - postorder (DFS: left, right, self) - preorder (DFS: self, left, right) From 104ffda4d581f981cea0fbb3281fe570c455e49a Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 14:07:52 -0500 Subject: [PATCH 133/236] Titles --- translations/es/README.md | 31 +++++++++++++++---------------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 73a4f9682a..de95c7e4d5 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -670,7 +670,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Algoritmos de manipulación - BFS (búsqueda en amplitud) - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - Orden de nivel(BFS, usando colas) + - Orden de nivel (BFS, usando colas) Tiempo de complejidad: O(n) Espacio de complejidad: Mejor: O(1), Peor: O(n/2)=O(n) - DFS (búsqueda en profundidad) @@ -684,7 +684,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - postorder (DFS: left, right, self) - preorder (DFS: self, left, right) -- ### Binary search trees: BSTs +- ### Árboles de búsqueda binaria: BSTs - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - starts with symbol table and goes through BST applications @@ -714,7 +714,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] delete_value - [ ] get_successor // returns next-highest value in tree after given value, -1 if none -- ### Heap / Priority Queue / Binary Heap +- ### Montículo / Colas de Prioridad / Montículo binario - visualized as a tree, but is usually linear in storage (array, linked list) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) @@ -743,8 +743,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). -## Sorting - +## Ordenamientos - [ ] Notes: - Implement sorts & know best case/worst case, average complexity of each: - no bubble sort - it's terrible - O(n^2), except when n <= 16 @@ -964,7 +963,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) -- ### Combinatorics (n choose k) & Probability +- ### Combinatorias (n elije k) & Probabilidad - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) @@ -974,7 +973,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - Just the videos - 41 (each are simple and each are short): - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) -- ### NP, NP-Complete and Approximation Algorithms +- ### NP, NP-Completo y Algoritmos de aproximación - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, and be able to recognize them when an interviewer asks you them in disguise. - Know what NP-complete means. @@ -995,7 +994,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Pages 1048 - 1140 in CLRS if you have it. -- ### Caches +- ### Memoria cache - [ ] LRU cache: - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) @@ -1004,7 +1003,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) -- ### Processes and Threads +- ### Procesos e hilos - [ ] Computer Science 162 - Operating Systems (25 videos): - for processes and threads see videos 1-11 - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) @@ -1041,7 +1040,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) -- ### Papers +- ### Documentos - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) @@ -1073,7 +1072,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) -- ### Testing +- ### Pruebas - To cover: - how unit testing works - what are mock objects @@ -1092,15 +1091,15 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) -- ### Scheduling +- ### Planificador - in an OS, how it works - can be gleaned from Operating System videos -- ### Implement system routines +- ### Implementar rutinas del sistema - understand what lies beneath the programming APIs you use - can you implement them? -- ### String searching & manipulations +- ### Búsqueda de cadenas y manipulaciones - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) @@ -1130,7 +1129,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) -- ### Floating Point Numbers +- ### Números de punto flotante - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) @@ -1138,7 +1137,7 @@ Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) -- ### Endianness +- ### Extremidad (Endianness) - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) From 1acb8b51c307f6342c58e321d2154a9a8204cc3d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 17:21:43 -0500 Subject: [PATCH 134/236] BST --- translations/es/README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index de95c7e4d5..b4234a4bb7 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -687,7 +687,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - ### Árboles de búsqueda binaria: BSTs - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications + - Comienza con la tabla de símbolos y pasa por las aplicaciones BST - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: @@ -701,18 +701,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max + - [ ] Implementar: + - [ ] insert // Inserta valores en el árbol + - [ ] get_node_count // Obtener la cuenta de los valores almacenados + - [ ] print_values // Imprime los valores en el árbol, del min al max - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol + - [ ] get_height // Regresa la altura en los nodos (La altura de cada nodo es 1) + - [ ] get_min // Regresa el valor mínimo almacenado en el árbol + - [ ] get_max // Regresa el valor máximo almacenado en el árbol - [ ] is_binary_search_tree - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none + - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno - ### Montículo / Colas de Prioridad / Montículo binario - visualized as a tree, but is usually linear in storage (array, linked list) From 433c9880d0f54bddd61161e29eef921b530379fd Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 17:44:54 -0500 Subject: [PATCH 135/236] Priority heaps --- translations/es/README.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index b4234a4bb7..0ee18d3824 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -715,7 +715,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno - ### Montículo / Colas de Prioridad / Montículo binario - - visualized as a tree, but is usually linear in storage (array, linked list) + - Visto como un árbol, pero usualmente es lineal en el almacenamiento (arreglo, lista enlazada) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) @@ -730,18 +730,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: + - [ ] Implementar una cola máxima: - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + - [ ] sift_up – Necesario para el insert + - [ ] get_max – Regresa el máximo elemento, sin eliminarlo + - [ ] get_size() – Regresa el número de elementos almacenados + - [ ] is_empty() – Devuelve verdadero si la cola está vacía + - [ ] extract_max – Regresa el máximo elemento, eliminándolo + - [ ] sift_down – Necesario para extract_max + - [ ] remove(i) – Elimina el elemento en el índice x + - [ ] heapify – Crea una cola de un arreglo de elementos, necesario para heap_sort + - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima + - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). ## Ordenamientos - [ ] Notes: From 535061aef4c62148a86ac40020e78335f3ec106e Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:12:24 -0500 Subject: [PATCH 136/236] Sorting --- translations/es/README.md | 40 +++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 0ee18d3824..09325756c2 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -744,19 +744,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). ## Ordenamientos -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") +- [ ] Notas: + - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: + - No ordenamiento de burbuja - Es terrible - O(n^2), excepto cuando n <= 16 + - [ ] Estabilidad en algoritmos de ordenamiento("¿Es Quicksort estable?") - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. + - [ ] ¿Cuáles algoritmos pueden ser usados en listas enlazadas? ¿Cuáles en arreglos? ¿Cuál en ambos? + - No recomendaría ordenar una lista enlazada, pero el ordenamiento por mezcla es realizable. - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. +- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por monticulos es estupendo, pero inestable. - [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) @@ -794,13 +794,13 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. +- [ ] Implemente: + - [ ] Mergesort: O(n log n) Promedio y peor caso + - [ ] Quicksort O(n log n) Caso promedio + - El ordenamiento por selección y el de inserción ambos son O(n^2) Promedio y peor caso + - Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. -- [ ] Not required, but I recommended them: +- [ ] No requeridos, pero los recomendaría: - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) @@ -814,12 +814,12 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) -As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +Como resumen aquí esta una representación visual de [15 algoritmos de ordenamiento](https://www.youtube.com/watch?v=kPRA0W1kECg). +Si necesita más detalle de este tema vea “Ordenamientos” en [Detalles adicionales de ciertos temas](#detalles-adicionales-de-ciertos-temas) ## Grafos -Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los trees y sorting. +Los grafos pueden ser usados para representar muchos problemas en las Ciencias de la Computación, así que es una sección larga, como lo son los árboles y ordenamientos. - Notas: - Hay cuatro formas básicas de representar un grafo en memoria: @@ -828,8 +828,8 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Lista adyacente - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y como implementarlos en código real - - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continue. + - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real + - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. - [ ] Skiena Lectures - great intro: - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) @@ -854,7 +854,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) -- Full Coursera Course: +- Curso Completo de Coursera: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - I'll implement: @@ -873,7 +873,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] list strongly connected components - [ ] check for bipartite graph -Obtendrá más practica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas +Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional - ### Recursión From 774162287a045e226e36733f5ac4a3abe4a88c5b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:21:42 -0500 Subject: [PATCH 137/236] Graphs --- translations/es/README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 09325756c2..21b8c9bcaa 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -785,11 +785,11 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) - [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) -- [ ] Merge sort code: +- [ ] Codificando Merge sort: - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: +- [ ] Codificando Quick sort: - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) @@ -831,7 +831,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. -- [ ] Skiena Lectures - great intro: +- [ ] Lecturas de Skiena – Gran introducción): - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) @@ -839,7 +839,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) -- [ ] Graphs (review and more): +- [ ] Grafos (revisión y más): - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) @@ -857,7 +857,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Curso Completo de Coursera: - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) -- I'll implement: +- Implementaré: - [ ] DFS with adjacency list (recursive) - [ ] DFS with adjacency list (iterative with stack) - [ ] DFS with adjacency matrix (recursive) From 323529ba7f2aa3a78fa2c93de5966bfc5858ecc8 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:26:51 -0500 Subject: [PATCH 138/236] Dynamic Programming --- translations/es/README.md | 37 ++++++++++++++++++------------------- 1 file changed, 18 insertions(+), 19 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 21b8c9bcaa..66211f3cc0 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -858,21 +858,20 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - Implementaré: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - + - [ ] DFS con lista de adyacencia (recursión) + - [ ] DFS con la lista de adyacencia (iterativa con la pila) + - [ ] DFS con matriz de adyacencia (recursión) + - [ ] DFS con matriz de adyacencia (iterativa con pila) + - [ ] BFS con lista de adyacencia + - [ ] BFS con matriz de adyacencia + - [ ] Ruta de acceso de una sola fuente más corta (Dijkstra) + - [ ] Árbol de expansión mínimo + - Algoritmos basados en DFS (ver videos de Aduni arriba): + - [ ] Comprobar el ciclo (necesario para el tipo topológico, ya que vamos a comprobar el ciclo antes de comenzar) + - [ ] Clasificación topológica + - [ ] Cuenta los componentes conectados en un grafo + - [ ] Lista de componentes fuertemente conectados + - [ ] Verificación de grafo bipartito Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional @@ -888,10 +887,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - ### Programación Dinámica - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. + - Este tema puede ser bastante difícil, ya que cada problema soluble PD debe definirse como una relación de recursión, y llegar a ella puede ser complicado. + - Sugiero que busque muchos ejemplos de problemas de PD hasta que tenga una comprensión sólida del patrón involucrado. - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see + - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) @@ -899,7 +898,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): + - [ ] Lista de problemas individuales de PD (cada uno es corto): [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - [ ] Yale Lecture notes: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) From f883073a5e675834e711e2efcf0ba9d589f2ccb3 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:29:21 -0500 Subject: [PATCH 139/236] OOP --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 66211f3cc0..c62e0e0350 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -914,7 +914,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. + - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] SOLID OOP Principles: - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) @@ -934,7 +934,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: + - [ ] Aprenda estos patrones: - [ ] strategy - [ ] singleton - [ ] adapter From a494e32210e0eb27e05eee5d3383246ea028b3f7 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:42:43 -0500 Subject: [PATCH 140/236] NP, NP-Complete --- translations/es/README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index c62e0e0350..2581fc41f1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -973,9 +973,8 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Completo y Algoritmos de aproximación - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. + - Conozca acerca de las clases más famosas de problemas de NP-completo, tales como el vendedor ambulante y el problema de la mochila y sea capaz de reconocerlos cuando un entrevistador se los pide disfrazados. + - Conozca que significa NP-completo. - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) @@ -989,9 +988,9 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvig discusses near-optimal solutions to traveling salesman problem: + - Peter Norvig discute soluciones casi óptimas para el problema del vendedor ambulante: - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. + - Paginas 1048 - 1140 en CLRS si lo tiene. - ### Memoria cache - [ ] LRU cache: From e13818eb3f56a3daac19f80f33e4ea52d1083df2 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:55:22 -0500 Subject: [PATCH 141/236] Threads --- translations/es/README.md | 44 +++++++++++++++++++-------------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 2581fc41f1..ec448d8e58 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -631,7 +631,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - [ ] Implementar: - - Búsqueda binaria (en un arreglo ordenado de enteros) + - Búsqueda binaria (en un arreglo ordenado de enteros) - Búsqueda binaria usando recursión - ### Operaciones bit a bit @@ -756,7 +756,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - No recomendaría ordenar una lista enlazada, pero el ordenamiento por mezcla es realizable. - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) -- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por monticulos es estupendo, pero inestable. +- Para ordenamientos por montículos, vea la estructura de datos de Colas o filas arriba. El ordenamiento por montículos es estupendo, pero inestable. - [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) @@ -1003,31 +1003,31 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Procesos e hilos - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 + - Para los procesos e hilos vea los videos 1-11 - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes - - threads - - locks - - mutexes - - semaphores - - monitors - - how they work - - deadlock - - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors + - Cubre: + - Procesos, Hilos, Temas de Concurrencia + - Diferencia entre procesos e hilos + - Procesos + - Hilos + - Cerraduras + - Mutexes + - Semáforos + - Monitores + - Cómo trabajan ellos + - Bloqueo + - Livelock + - Actividad de CPU, interrupciones, conmutación de contexto + - Moderna concurrencia construida con procesadores multinúcleo - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware + - Necesidades de recursos de proceso (memoria: código, almacenamiento estático, pila, monticulo y también descriptores de archivo, i /o) + - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso pero cada uno tiene su propio PC, contador de pila, registros y pila) + - Bifurcación es realmente copia en escritura (sólo lectura) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. + - Cambio de contexto + - Cómo se inicia el cambio de contexto por el sistema operativo y el hardware subyacente - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - [ ] concurrency in Python (videos): - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) From ae8d43d6aed59eca465bfb76b4b286fb3fa326d7 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 18:57:46 -0500 Subject: [PATCH 142/236] Papers --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ec448d8e58..97222099a2 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1024,7 +1024,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - Necesidades de recursos de proceso (memoria: código, almacenamiento estático, pila, monticulo y también descriptores de archivo, i /o) - - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso pero cada uno tiene su propio PC, contador de pila, registros y pila) + - Necesidades de recursos de hilos (partes anteriores (menos pila) con otros hilos en el mismo proceso, pero cada uno tiene su propio PC, contador de pila, registros y pila) - Bifurcación es realmente copia en escritura (sólo lectura) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. - Cambio de contexto - Cómo se inicia el cambio de contexto por el sistema operativo y el hardware subyacente @@ -1039,14 +1039,14 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - ### Documentos - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. + - La lectura de todos de extremo a extremo con la comprensión completa probablemente tomará más tiempo del que tiene. Recomiendo ser selectivo en los documentos y sus secciones. - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 + - Remplazado por Colossus en 2012 - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? + - ¿Casi totalmente remplazado por Cloud Dataflow? - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) From 8e65a4b084cb48c6cc78e16e2bbcd48a4f56dd25 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 19:01:30 -0500 Subject: [PATCH 143/236] Testing --- translations/es/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 97222099a2..ca08d0204a 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1071,11 +1071,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - ### Pruebas - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection + - A cubrir: + - Cómo funciona la prueba unitaria + - ¿Qué son objetos simulados? + - ¿Qué es la prueba de integración? + - ¿Qué es la inyección de dependencia? - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) @@ -1084,7 +1084,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: + - [ ] Inyección de dependencia: - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) From 216f3ec8bf34be35a8186339c7b1df3d7d476f19 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Thu, 25 May 2017 20:42:06 -0500 Subject: [PATCH 144/236] Tries --- translations/es/README.md | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index ca08d0204a..129119e335 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1090,12 +1090,12 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - ### Planificador - - in an OS, how it works - - can be gleaned from Operating System videos + - En un SO, Como funciona + - Se pueden obtener de los videos del sistema operativo - ### Implementar rutinas del sistema - - understand what lies beneath the programming APIs you use - - can you implement them? + - Entienda lo que hay debajo de las API de programación que usa + - ¿Puede implementarlas? - ### Búsqueda de cadenas y manipulaciones - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) @@ -1107,18 +1107,17 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + Si necesita más detalle de este tema, vea "String Matching" en [Detalles adicionales de ciertos temas](#detalles-adicionales-de-ciertos-temas) - ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. + - Note que existen diferentes tipos de tries. Algunos tienen prefijos, otros no, y algunos usan cadenas en lugar de bits para seguir el camino. + - Leo a través del código pero no implementaría. - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: + - [ ] Videos de cursos cortos: - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) From 8e85db49b14129f7dc3f3365ab9b10c020e33422 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:27:21 -0500 Subject: [PATCH 145/236] Endianness --- translations/es/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 129119e335..8c3317b833 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1111,7 +1111,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Tries - Note que existen diferentes tipos de tries. Algunos tienen prefijos, otros no, y algunos usan cadenas en lugar de bits para seguir el camino. - - Leo a través del código pero no implementaría. + - Leo a través del código, pero no implementaría. - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) @@ -1138,11 +1138,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. + - Charlas muy técnicas para desarrolladores del kernel. No se preocupe si la mayoría se ve complicado. + - La primer mitad es suficiente. - ### Redes - - **Si tiene experiencia en redes o quiere se un Ingeniero en Sistemas espere preguntas** + - **Si tiene experiencia en redes o quiere ser un Ingeniero en Sistemas espere preguntas** - otherwise, this is just good to know - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) From bc710a626026adb34bfc75de240d78914617e5d7 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:29:34 -0500 Subject: [PATCH 146/236] Network --- translations/es/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 8c3317b833..874733e526 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1139,11 +1139,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - Charlas muy técnicas para desarrolladores del kernel. No se preocupe si la mayoría se ve complicado. - - La primer mitad es suficiente. + - La primera mitad es suficiente. - ### Redes - **Si tiene experiencia en redes o quiere ser un Ingeniero en Sistemas espere preguntas** - - otherwise, this is just good to know + - De cualquier forma, esto es bueno saberlo - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) From cbeb9beb082d03a7973fd14c805d50e652a0bd6b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:51:35 -0500 Subject: [PATCH 147/236] Scalability and System Design --- translations/es/README.md | 84 +++++++++++++++++++-------------------- 1 file changed, 41 insertions(+), 43 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 874733e526..e9cc114549 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -828,7 +828,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - Lista adyacente - Mapa adyacente - Familiarícese con cada representación y sus pros y contras - - BFS and DFS – Conozca su complejidad computacional, sus tradeoffs y cómo implementarlos en código real + - BFS and DFS – Conozca su complejidad computacional, sus compromisos y cómo implementarlos en código real - Cuando se le haga una pregunta busqué una solución basada en grafos, si no encuentra continúe. - [ ] Lecturas de Skiena – Gran introducción): @@ -1159,30 +1159,28 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## Diseño del Sistema, Escalabilidad, Manejo de Datos -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) +- ** Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** +- La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. +- Consideraciones: + - Escalabilidad + - Destilar conjuntos de datos grandes a valores únicos + - Transformar un conjunto de datos en otro + - Manejo de cantidades de datos obscenamente grandes + - Diseño de sistemas + - Conjuntos de características + - Interfaces + - Jerarquías de clases + - Diseñar un sistema bajo ciertas restricciones + - Simplicidad y robustez + - Compromisos + - Análisis y optimización del rendimiento +- [ ] **EMPIECE AQUI**: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) - [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - Hay muchos recursos en este. Mire los articulos y sus ejemplos. Pondré Algunos debajo. - [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) - [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) @@ -1250,31 +1248,31 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - Para aún más, vea la serie de videos "Mining Massive Datasets" en la sección de Series de video. +- [ ] Practicando el proceso de diseño del sistema: Aquí hay algunas ideas para tratar de trabajar en papel, cada una con cierta documentación sobre cómo se manejó en el mundo real: + - Revisión: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: + - Flujo: + 1. Comprender el problema y el alcance: + - Definir los casos de uso, con ayuda del entrevistador + - Sugerir características adicionales + - Eliminar elementos que el entrevistador considera fuera de alcance + - Asumir alta disponibilidad es necesario, añadir como un caso de uso + 2. Piense en las limitaciones: + - Preguntar cuántas solicitudes por mes + - Preguntar cuántas solicitudes por segundo (que pueden ser voluntario o hacer que usted haga las matemáticas) + - Lectura de estimación vs. Escribir porcentajes + - Tenga en cuenta la regla 80/20 al estimar + - La cantidad de datos escritos por segundo + - Almacenamiento total requerido durante 5 años + - La cantidad de datos leídos por segundo + 3. Diseño abstracto: + - Capas (servicio, datos, almacenamiento en caché) + - Infraestructura: balanceo de carga, mensajería + - Descripción aproximada de cualquier algoritmo clave que impulsa el servicio + - Considerar los cuellos de botella y determinar las soluciones + - Ejercicios: - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) From faef4b7a66ba4ac5287f8b1aa60bbdba0f4d6cc5 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 03:57:59 -0500 Subject: [PATCH 148/236] Review --- translations/es/README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index e9cc114549..29c23c653f 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -111,6 +111,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Extremidad (Endianness)](#extremidad-endianness) - [Redes](#redes) - [Diseño del Sistema, Escalabilidad, Manejo de Datos](#diseño-del-sistema-escalabilidad-manejo-de-datos) (Si tiene más de 4 años de experiencia) +- [Revisión final](#revisión-final) - [Practica de preguntas de codificación](#practica-de-preguntas-de-codificación) - [Ejercicios de codificación/Desafíos](#ejercicios-de-codificación-desafíos) - [Una vez cerca de la entrevista](#una-vez-cerca-de-la-entrevista) @@ -1284,14 +1285,14 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros --- -## Final Review +## Revisión final - This section will have shorter videos that you can watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. + Esta sección tendrá videos cortos que puede visualizar rapidamente para revisar algunos de los conceptos importantes. + Es bueno si quieres repasar a menudo. -- [ ] Series of 2-3 minutes short subject videos (23 videos) +- [ ] Series de videos cortos sobre temas de 2-3 minutos (23 videos) - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): +- [ ] Series de videos cortos sobre temas de 2-5 minutos - Michael Sambol (18 videos): - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) - [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) From f72ae763f1c7daa73fd2d2eb2c46b786f4c64f56 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:27:33 -0500 Subject: [PATCH 149/236] Practice Code --- translations/es/README.md | 38 +++++++++++++++++--------------------- 1 file changed, 17 insertions(+), 21 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 29c23c653f..d1eb972e19 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1160,7 +1160,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) ## Diseño del Sistema, Escalabilidad, Manejo de Datos -- ** Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** +- **Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** - La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. - Consideraciones: - Escalabilidad @@ -1325,43 +1325,39 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Practica de preguntas de codificación -Now that you know all the computer science topics above, it's time to practice answering coding problems. +Ahora que conoce todos los tópicos de las Ciencias de la Computación mencionados anteriormente, es tiempo de practicar respondiendo algunos problemas de codificación. -**Coding question practice is not about memorizing answers to programming problems.** +**La practica de preguntas de codificación no es sobre memorizar respuestas a problemas de programación.** -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: +Porque necesita practicar haciendo problemas de programación: +- El reconocimiento de problemas, y donde las estructuras de datos y algoritmos adecuados encajan +- Reunir los requisitos para el problema +- Hablar sobre su camino a través del problema como lo hará en la entrevista +- Codificar en una pizarra o papel, no en un ordenador +- Llegar con la complejidad del tiempo y espacio para sus soluciones +- Probar sus soluciones +Hay una gran introducción para la solución de problemas metódicos y comunicativos en una entrevista. Conseguirá esto de los libros para la entrevista de programación también, pero encontré esto excepcional: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. +¿No tiene pizarrón en casa? Hace sentido. Soy un bicho raro y tengo una pizarra grande. En vez de una pizarra blanca, recoja un gran cuadernillo de dibujo de una tienda de arte. Puede sentarse en el sofá y practicar. Esta es mi "pizarra de sofá". He añadido la pluma en la foto para la escala. Si usa un bolígrafo, deseará poder borrarlo. Se ensucia rápido. ![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) -Supplemental: +Complementarios: - [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) - [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) - [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) - [Exercises for getting better at a given language](http://exercism.io/languages) -**Read and Do Programming Problems (in this order):** +**Lea y haga problemas de programación (en ese orden):** - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java + - Respuestas en C, C++ y Java - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java + - Respuestas en Java -See [Book List above](#book-list) +Vea [Lista de libros](#lista-de-libros) ## Ejercicios de codificación/Desafíos Once you've learned your brains out, put those brains to work. From 339ef602e8b2bcde24e2afc868f65bdb02d71ff7 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:32:08 -0500 Subject: [PATCH 150/236] Challenges --- translations/es/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index d1eb972e19..43e17ca72d 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1360,17 +1360,17 @@ Complementarios: Vea [Lista de libros](#lista-de-libros) ## Ejercicios de codificación/Desafíos -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. +Una vez haya aprendido, ponga ese cerebro a trabajar. +Tome desafíos de codificación todos los días y tantos como pueda. - [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) - [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) -Coding Interview Question Videos: +Videos de preguntas de entrevistas de código: - [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) - [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) -Challenge sites: +Sitios de desafíos: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) - [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) @@ -1383,10 +1383,10 @@ Challenge sites: - [InterviewBit](https://www.interviewbit.com/invite/icjf) - [Sphere Online Judge (spoj)](http://www.spoj.com/) -Challenge repos: +Repos de desafíos: - [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) -Mock Interviews: +Bosquejos de entrevista: - [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) From 017e075e52a0c429140e079faf2c456673964813 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:33:47 -0500 Subject: [PATCH 151/236] Your Resume --- translations/es/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/es/README.md b/translations/es/README.md index 43e17ca72d..1d32403339 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1399,7 +1399,7 @@ Bosquejos de entrevista: ## Su CV -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed +- Vea los elementos de preparación en **Cracking The Coding Interview and back of Programming Interviews Exposed** ## Pensando en cuando llegue la entrevista From b4ad1518ce3905ca2f1182316c2ee2fb8390cdd1 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:40:16 -0500 Subject: [PATCH 152/236] Soon the interview --- translations/es/README.md | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 1d32403339..a8e83e8dca 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1404,21 +1404,21 @@ Bosquejos de entrevista: ## Pensando en cuando llegue la entrevista -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? +Piense en aproximadamente veinte preguntas de la entrevista que usted conseguirá, junto con las líneas de abajo. Tenga 2-3 respuestas para cada una. +Tener una historia, no sólo datos, sobre algo que logro. + +- ¿Por qué quiere este trabajo? +- ¿Cuál es un problema difícil que ha resuelto? +- ¿Cuáles han sido los mayores desafíos enfrentados? +- ¿Cuáles han sido los mejores / peores diseños vistos? +- Ideas para mejorar un producto existente. +- ¿Cómo trabaja mejor, individualmente y como parte de un equipo? +- ¿Cuáles de sus habilidades o experiencias serían claves en el rol y por qué? +- ¿Qué es lo que más disfruto en [ x trabajo / y proyecto]? +- ¿Cuál fue el mayor reto al que se enfrentó en [x trabajo / y proyecto]? +- ¿Cuál fue el error más difícil que enfrentó en [x trabajo / y proyecto]? +- ¿Qué aprendió en [x trabajo / y proyecto]? +- ¿Qué habría hecho mejor en [x trabajo / y proyecto]? ## Preguntas para el entrevistador From ec84579db93bf9b9f237d7b79dfc261d24aa408d Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:44:16 -0500 Subject: [PATCH 153/236] Once having the job --- translations/es/README.md | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index a8e83e8dca..68da215500 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1422,25 +1422,23 @@ Tener una historia, no sólo datos, sobre algo que logro. ## Preguntas para el entrevistador - Some of mine (I already may know answer to but want their opinion or team perspective): + Algunos de las mías (ya sé u respuesta, pero quiero su opinión o la perspectiva del equipo): -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? +- ¿Qué tan grande es su equipo? +- ¿Cómo es su ciclo de desarrollo? ¿Haces waterfall / sprints / agile? +- ¿Son corrientes las fechas límite comunes? ¿O hay flexibilidad? +- ¿Cómo se toman las decisiones en su equipo? +- ¿Cuántas reuniones tienes por semana? +- ¿Siente que su ambiente de trabajo le ayuda a concentrarse? +- ¿En que estas trabajando? +- ¿Qué te gusta de ello? +- ¿Cómo es la vida laboral? -## Una vez obtenido el empleo +¡Felicitaciones! -Congratulations! +Manténgase aprendiendo. -Keep learning. - -You're never really done. +Nunca está de verdad realizado. --- From 175f68a515ad7b219a5c3c34cda2513236564309 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 04:48:19 -0500 Subject: [PATCH 154/236] Aditional Books --- translations/es/README.md | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 68da215500..293004ef87 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1444,11 +1444,8 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** - - Everything below this point is optional. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - + Todo lo que está debajo de este punto es opcional. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1456,15 +1453,15 @@ Nunca está de verdad realizado. ## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie + - Viejo pero bueno - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option + - Una opción moderna - [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) - [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns + - Una gentil introducción al diseño de patrones - [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book + - aka el libro "Gang Of Four" , o GOF + - El libro canonico de diseño de patrones - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) ## Aprendizaje adicional From 11727c9bd129a9628a31c75028c5e7049a0ffa2b Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 05:00:17 -0500 Subject: [PATCH 155/236] Additional learning --- translations/es/README.md | 31 +++++++++++++++---------------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 293004ef87..473c0852a8 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1466,8 +1466,7 @@ Nunca está de verdad realizado. ## Aprendizaje adicional -These topics will likely not come up in an interview, but I added them to help you become a well-rounded -software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. +Es probable que estos temas no aparezcan en una entrevista, pero los añadí para ayudarle a convertirse en un Ingeniero de Software más completo, y ser consciente en ciertas tecnologías y algoritmos, para que tenga una caja de herramientas más grande. - ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) @@ -1476,19 +1475,19 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - ### Emacs y Vi(m) - - Familiarize yourself with a unix-based code editor - - vi(m): + - Familiarícese con un editor de código basado en Unix + - Vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: + - Conjunto de 4 videos: - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: + - Emacs: - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): + - Conjunto de 3 videos: - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) @@ -1497,7 +1496,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - ### Unix: Herramientas para la línea de comandos - - I filled in the list below from good tools. + - Llene la lista inferior con buenas herramientas. - [ ] bash - [ ] cat - [ ] grep @@ -1512,11 +1511,11 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - ### Teoría de la información (videos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: + - [ ] Más acerca de los procesos de Markov: - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. + - Vea más en la serie MIT 6.050J Information and Entropy. - ### Código de paridad y Hamming (videos) - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) @@ -1527,19 +1526,19 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - ### Entropía - - also see videos below - - make sure to watch information theory videos first + - También vea los videos de abajo + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - ### Criptografía - - also see videos below - - make sure to watch information theory videos first + - También ve los videos de abajo + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- ### Compression - - make sure to watch information theory videos first +- ### Compresión + - Asegúrese de ver los videos de la teoría de la información primero - [ ] Computerphile (videos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) From b927ba864da31c83ce06bd7a2b03bd33ad1dd206 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 05:58:30 -0500 Subject: [PATCH 156/236] Aditional Learning --- translations/es/README.md | 138 ++++++++++++++++---------------------- 1 file changed, 59 insertions(+), 79 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 473c0852a8..fbd9969506 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1608,8 +1608,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) +- ### Filtro de Bloom + - Dado un filtro de Bloom con m bits y k funciones de hashing, tanto las pruebas de inserción como de pertenencia son O(k) - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - [Tutorial](http://billmill.org/bloomfilter-tutorial/) @@ -1618,12 +1618,12 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### HyperLogLog - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. +- ### Hashing sensible a la localidad + - Usado para determiner la similitude de documentos + - Lo opuesto de MD5 o SHA que son usados para determinar si dos documentos/cadenas son exactamente iguales. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) -- ### van Emde Boas Trees +- ### Árboles van Emde Boa - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) @@ -1631,104 +1631,85 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - ### Árboles de búsqueda equilibrada - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. + - Conocer por lo menos un tipo de árbol binario equilibrado (y saber cómo se implementa): + - " Entre los árboles de búsqueda equilibrada, los árboles AVL y 2/3 están ahora pasados de moda, y los árboles rojo-negro parecen ser más populares. + Una estructura de datos auto-organizable particularmente interesante es el árbol biselados, que utilizan rotaciones para mover cualquier clave accedida a la raíz.." - Skiena + - De estos, opté por implementar un árbol biselado. Por lo que he leído, no implementarás un árbol de búsqueda equilibrado en tu entrevista. Pero yo quería exponer la codificación de uno y bueno, los árboles son las rodillas de la abeja. He leído un montón de código de árbol rojo-negro. + - Árboles biselados: Funciones insert, search, delete + Si terminas implementando un árbol rojo / negro, intenta lo siguiente: + - Funciones de búsqueda e inserción, saltándose eliminar + - Quiero aprender más acerca de los Árboles-B ya que se utiliza tan ampliamente con conjuntos de datos muy grandes. - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). + - [ ] ** Árboles AVL ** + - En práctica: + Por lo que puedo decir, estos no se usan mucho en la práctica, pero pude ver dónde estarían: + El árbol AVL es otra estructura que soporta la búsqueda, inserción y eliminación de O (log n). Es más rígidamente equilibrado que los árboles rojo-negro, lo que lleva a una inserción y eliminación más lenta, pero más rápido la recuperación. Esto lo hace atractivo para las estructuras de datos que se pueden construir una vez y se cargan sin reconstrucción, como diccionarios de idiomas (o diccionarios de programas, como los opcodes de un ensamblador o intérprete). - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. + - [ ] **Árboles biselados** + - En práctica: + Los árboles biselados son típicamente usados en la implementación de la memoria cache, ssignadores de memoria, enrutadores, recolectores de basura, compresión de datos, cuerdas (reemplazo de la cadena utilizada para cadenas de texto largas), en Windows NT (en la memoria virtual, en red y en el código del sistema de archivos) etc. - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. + - Se vuelve muy matemático, pero vea los 10 últimos minutos. - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. + - [ ] **Árboles rojos/negros** + - Éstos son una traducción de un árbol 2-3 (véase abajo) + - En la práctica: + Los árboles rojo-negro ofrecen las peores garantías de tiempo de inserción, tiempo de borrado y tiempo de búsqueda. + Esto no solo los hace valiosos en aplicaciones sensibles al tiempo como las aplicaciones en tiempo real, sino que las convierte en elementos valiosos en otras estructuras de datos que proporcionan las garantías más desfavorables; por ejemplo, muchas estructuras de datos utilizadas en la geometría computacional pueden basarse en árboles rojos y negros, y el Completely Fair Scheduler utilizado en los kernels Linux actuales usa árboles de color rojo-negro. En la versión 8 de Java, la Colección HashMap se ha modificado de manera que en lugar de usar una lista enlazada para almacenar elementos idénticos con códigos de hash pobres, se utiliza un árbol Rojo-Negro. - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. + - [ ] **Árboles de búsqueda 2-3** + - En práctica: + Los árboles 2-3 tienen inserciones más rápidas a expensas de búsquedas más lentas (ya que la altura es más comparada con árboles AVL). + - Usará árboles 2-3 muy raramente porque su implementación implica diferentes tipos de nodos. En su lugar, las personas utilizan árboles de color rojo negro. - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. + - [ ] **Árboles 2-3-4 (aka Árboles 2-4)** + - En práctica: + Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque ** 2-4 árboles no son a menudo utilizados en la práctica**. - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary + - [ ] **Árboles N-avo (K-avo, M-avo)** + - Nota: La N o K es el factor de ramificación (ramas máximas) + - Los árboles binarios son un árbol de 2 aros, con factor de ramificación = 2 + - Los árboles 2-3 son 3-avos - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. + - [ ] **Árboles-B** + - Dato curios: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) + - En práctica: + Árboles-B son ampliamente utilizados en bases de datos. La mayoría de los sistemas de archivos modernos utilizan árboles B (o variantes). Además de su uso en bases de datos, el árbol B también se utiliza en sistemas de archivos para permitir el acceso rápido y aleatorio a un bloque arbitrario en un archivo en particular. El problema básico es convertir la dirección de bloque de archivos i en una dirección de bloque de disco (o tal vez a una dirección de cilindro-cabezal). - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) + - Cubre cache-inconsistentes árboles-B, estructuras de datos muy interesantes + - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors +- ### Árboles k-D + - Ideal para encontrar el número de puntos en un rectángulo o un objeto de dimensión superior + - Un buen ajuste para k-vecinos más cercanos - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena +- ### Lista por saltos + - " Éstos son algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) @@ -1737,7 +1718,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) -- ### Disjoint Sets & Union Find +- ### Conjuntos disjuntos & Encontrar unión - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) @@ -1746,7 +1727,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - ### Treap - - Combination of a binary search tree and a heap + - Combinación de un árbol de búsqueda binaria y un montículo - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) @@ -1763,10 +1744,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - ### Matemáticas discretas - - see videos below + - Vea videos debajo -- ### Machine Learning - - [ ] Why ML? +- ### Aprendizaje automático + - [ ] ¿Por qué el aprendizaje automático? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) @@ -1775,10 +1756,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: + - Cursos: - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) + - Vea los videos 12-18 para un resumen de algebra lineal (14 y 15 son duplicados) - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) @@ -1796,9 +1777,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par ## Detalles adicionales de ciertos temas - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? + Agregué estos para reforzar algunas ideas ya presentadas anteriormente, pero no quería incluirlas arriba porque es demasiado. Es fácil exagerar en un tema. + ¿Quieres ser contratado en este siglo, verdad? - [ ] **Union-Find** - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) @@ -1866,7 +1846,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par ## Series de videos -Sit back and enjoy. "Netflix and skill" :P +Siéntese y disfrute. "Netflix and skill" :P - [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) From 0d6fa9ab007544e603c54d300b0261f839a01cc4 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 06:13:05 -0500 Subject: [PATCH 157/236] Fix typos and grammar errors --- translations/es/README.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index fbd9969506..62f5c81927 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1245,7 +1245,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] Vea la forma en "Messaging, Serialization, and Queueing Systems" debajo para la información sobre algunas de las tecnologías que pueden pegar servicios juntos - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) @@ -1287,7 +1287,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Revisión final - Esta sección tendrá videos cortos que puede visualizar rapidamente para revisar algunos de los conceptos importantes. + Esta sección tendrá videos cortos que puede visualizar rápidamente para revisar algunos de los conceptos importantes. Es bueno si quieres repasar a menudo. - [ ] Series de videos cortos sobre temas de 2-3 minutos (23 videos) @@ -1445,7 +1445,9 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. - Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de + +la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1678,7 +1680,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] **Árboles 2-3-4 (aka Árboles 2-4)** - En práctica: - Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque ** 2-4 árboles no son a menudo utilizados en la práctica**. + Para cada árbol 2-4, hay árboles rojo-negro correspondientes con elementos de datos en el mismo orden. Las operaciones de inserción y supresión en árboles 2-4 también son equivalentes a la rotación de color en rojos y negros árboles. Esto hace que árboles 2-4 sean una herramienta importante para entender la lógica detrás de los árboles rojo-negros, y es por eso que muchos textos de algoritmo introductorios introducen árboles 2-4 justo antes de los árboles rojo-negro, aunque **Los árboles 2-4 no son a menudo utilizados en la práctica**. - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) @@ -1698,7 +1700,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - Cubre cache-inconsistentes árboles-B, estructuras de datos muy interesantes + - Cubre árboles-B de cache inconsistente, estructuras de datos muy interesantes - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) From 4e7939618e817d1894d57d852fd338bd90062425 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 07:33:56 -0500 Subject: [PATCH 158/236] First Revision Translated missed comments --- translations/es/README.md | 61 +++++++++++++++++++-------------------- 1 file changed, 30 insertions(+), 31 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index 62f5c81927..b0185af93b 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -493,7 +493,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) - [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): +- [ ] TopCoder (incluye relaciones de recurrencia y teorema maestro): - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) - [ ] [Cheat sheet](http://bigocheatsheet.com/) @@ -615,7 +615,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: + - [ ] Matriz asociativas distribuidas: - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) @@ -647,19 +647,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) - - [ ] 2s and 1s complement + - [ ] Complemento a uno y dos - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] count set bits + - [ ] Contar bits puestos - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] round to next power of 2: + - [ ] Redondeo a la próxima potencia de 2: - [Round Up To Next Power Of Two](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] swap values: + - [ ] Valor de intercambio: - [Swap](http://bits.stephan-brumme.com/swap.html) - - [ ] absolute value: + - [ ] Valores absolutos: - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) ## Árboles @@ -877,13 +877,13 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros ## Más información adicional - ### Recursión - - [ ] Stanford lectures on recursion & backtracking: + - [ ] Conferencias de Stanford sobre la recursividad y retroceso: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? + - Cuando es apropiado usarlo + - ¿Cómo es la recursión de cola mejor que no? - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) @@ -901,7 +901,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - [ ] Lista de problemas individuales de PD (cada uno es corto): [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: + - [ ] Notas de la clase de Yale: - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - [ ] Coursera: - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) @@ -917,7 +917,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: + - [ ] Principios SOLID OOP: - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) @@ -926,10 +926,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clients no deberían ser forzados a implementar interfaces no usarán - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reducir la dependencia en la composición de los objetos. - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) @@ -958,7 +958,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - [ ] [Series of videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. + - Sé que el libro canónico es "Design Patterns: Elements of Reusable Object-Oriented Software", pero Head First es ideal para principiantes a OO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) @@ -968,9 +968,9 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - [ ] Khan Academy: - - Course layout: + - Diseño del curso: - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): + - Solo los videos - 41 (cada uno simple y corto): - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Completo y Algoritmos de aproximación @@ -1057,7 +1057,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available + - Documento no disponible - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) @@ -1187,15 +1187,15 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) - [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) - [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: +- [ ] Algoritmo de consenso de Paxos: - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) - [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) - [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: +- [ ] Escalabilidad: - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: + - [ ] Series Cortas: - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) @@ -1446,8 +1446,7 @@ Nunca está de verdad realizado. ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - -la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** @@ -1643,7 +1642,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - Quiero aprender más acerca de los Árboles-B ya que se utiliza tan ampliamente con conjuntos de datos muy grandes. - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - [ ] ** Árboles AVL ** + - [ ] **Árboles AVL** - En práctica: Por lo que puedo decir, estos no se usan mucho en la práctica, pero pude ver dónde estarían: El árbol AVL es otra estructura que soporta la búsqueda, inserción y eliminación de O (log n). Es más rígidamente equilibrado que los árboles rojo-negro, lo que lleva a una inserción y eliminación más lenta, pero más rápido la recuperación. Esto lo hace atractivo para las estructuras de datos que se pueden construir una vez y se cargan sin reconstrucción, como diccionarios de idiomas (o diccionarios de programas, como los opcodes de un ensamblador o intérprete). @@ -1711,7 +1710,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - ### Lista por saltos - - " Éstos son algo de una culta estructura de datos" - Skiena + - " Éste es algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) @@ -1767,8 +1766,8 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: + - Recursos: + - Libros: - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) @@ -1803,7 +1802,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): +- [ ] MIT **Probability** (Matemático y va lento, que es bueno para las cosas matemáticas) (videos): - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) @@ -1828,9 +1827,9 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped + - Inicia bien, pero en el momento en que pasa KMP se vuelve más complicado de lo que necesita ser + - Buena explicación de los tries + - Puede saltarse - [ ] **Sorting** From 38ddfde20f22c683e4daabbe52460f927da8f8e9 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 07:37:43 -0500 Subject: [PATCH 159/236] Typo --- translations/es/README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/translations/es/README.md b/translations/es/README.md index b0185af93b..3f2ef095c1 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -926,7 +926,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clients no deberían ser forzados a implementar interfaces no usarán + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | Los clientes no deberían ser forzados a implementar interfaces no usarán - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reducir la dependencia en la composición de los objetos. @@ -1446,7 +1446,8 @@ Nunca está de verdad realizado. ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. + Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** From 8a4b5299b4260ef4da9e198620b5b35ce6caa828 Mon Sep 17 00:00:00 2001 From: YoSaucedo Date: Fri, 26 May 2017 23:29:14 -0500 Subject: [PATCH 160/236] Reverse structure --- translations/README-es.md | 2022 ----------------- translations/{ar/README.md => README_ar.md} | 0 translations/{cn/README.md => README_cn.md} | 0 translations/{es/README.md => README_es.md} | 177 +- translations/{fr/README.md => README_fr.md} | 0 translations/{he/README.md => README_he.md} | 0 translations/{hi/README.md => README_hi.md} | 0 translations/{id/README.md => README_id.md} | 0 translations/{ko/README.md => README_ko.md} | 0 translations/{pl/README.md => README_pl.md} | 0 translations/{th/README.md => README_th.md} | 0 translations/{uk/README.md => README_uk.md} | 0 translations/{vi/README.md => README_vi.md} | 0 translations/es/src/AdquiridoAmazon.md | 22 - translations/{mock-up => }/how-to.md | 0 ...e Genius Programmer Google Developers .odp | Bin 2381769 -> 0 bytes .../its-dangerous-to-go-alone-pycon.pptx | Bin 895985 -> 0 bytes 17 files changed, 88 insertions(+), 2133 deletions(-) delete mode 100644 translations/README-es.md rename translations/{ar/README.md => README_ar.md} (100%) rename translations/{cn/README.md => README_cn.md} (100%) rename translations/{es/README.md => README_es.md} (96%) rename translations/{fr/README.md => README_fr.md} (100%) rename translations/{he/README.md => README_he.md} (100%) rename translations/{hi/README.md => README_hi.md} (100%) rename translations/{id/README.md => README_id.md} (100%) rename translations/{ko/README.md => README_ko.md} (100%) rename translations/{pl/README.md => README_pl.md} (100%) rename translations/{th/README.md => README_th.md} (100%) rename translations/{uk/README.md => README_uk.md} (100%) rename translations/{vi/README.md => README_vi.md} (100%) delete mode 100644 translations/es/src/AdquiridoAmazon.md rename translations/{mock-up => }/how-to.md (100%) delete mode 100644 translations/mock-up/The Myth of the Genius Programmer Google Developers .odp delete mode 100644 translations/mock-up/its-dangerous-to-go-alone-pycon.pptx diff --git a/translations/README-es.md b/translations/README-es.md deleted file mode 100644 index 87097080ea..0000000000 --- a/translations/README-es.md +++ /dev/null @@ -1,2022 +0,0 @@ -# Google Interview University - -Version original: [Inglés](../README.md) - -## ¿Qué es? - -Es mi guía de estudio en varios meses para ir de desarrollador web (Autodidacta, sin grado en Ciencias de la computación) -a ingeniero de software en Google. - -![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) - -Esta larga lista, ha sido extraída y ampliada de las **Google's coaching notes**, asi que estas son las cosas que -tienes que saber. -Hay algunas cosas extra que he añadido al final, que pueden aparecer en una entrevista, o ser de ayuda al solucionar -problemas. Extraje muchas de ellas de "[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)" -de Steve Yegge, y a veces aparecen, palabra por palabra en las notas de coaching de Google. - -He reducido lo que tienes que saber de lo que Yegge recomienda. He alterado los requerimientos de Yegge acorde con la -información que me facilitó me contacto en Google. Está orientado para **nuevos ingenieros de software** or para aquellos -que cambian el desarrollo de software o web, por ingeniería de software (donde se necesita conocimiento en ciencias de -computadores). Si tienes muchos años de experiencia y gran parte es experiencia en ingeniería de software, espera que -la entrevista sea más dura. [Lee más aquí](https://googleyasheck.com/what-you-need-to-know-for-your-google-interview-and-what-you-dont/). - -Si tienes muchos años de experiencia en desarrollo de software o web, ten en cuenta que Google ve la ingenieria del software -como algo diferente al desarrollo web, y ellos requiren conocimiento en ciencias de computadores. - -Si lo que quieres es ser ingeniero de escalabilidad / seguridad o ingeniero de sistemas, estudia más de la lista opcional (redes, seguridad). - ---- - -## Tabla de Contenidos - -- [¿Qué es?](#qué-es) -- [¿Por qué usarlo?](#por-qué-usarlo) -- [Cómo usarlo](#cómo-usarlo) -- [Envuelvete en la googlemanía](#envuelvete-en-la-googlemanía) -- [¿Cómo conseguí el trabajo en Google?](#como-consegui-el-trabajo-en-google) -- [Sigue el progreso conmigo](#sigue-el-progreso-conmigo) -- [No pienses que no eres suficientemente inteligente](#no-pienses-que-no-eres-suficientemente-inteligente) -- [Acerca de Google](#acerca-de-google) -- [Acerca de los recursos en vídeo](#acerca-de-los-recursos-en-video) -- [Prepárate para la entrevista](#preparate-para-la-entrevista) -- [Escoge un lenguaje para la entrevista](#escoge-un-lenguaje-para-la-entrevista) -- [Lista de libros](#lista-de-libros) -- [Antes de que Comiences](#antes-de-que-comiences) -- [Lo que no Verás Cubierto](#lo-que-no-verás-cubierto) -- [Prerequisite Knowledge](#prerequisite-knowledge) -- [The Daily Plan](#the-daily-plan) -- [Algorithmic complexity / Big-O / Asymptotic analysis](#algorithmic-complexity--big-o--asymptotic-analysis) -- [Data Structures](#data-structures) - - [Arrays](#arrays) - - [Linked Lists](#linked-lists) - - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) -- [Para saber más](#para-saber-mas) - - [Búsqueda binaria](#busqueda-binaria) - - [Operaciones bit a bit](#operaciones-bit-a-bit) -- [Trees](#trees) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS -- [Sorting](#sorting) - - selection - - insertion - - heapsort - - quicksort - - merge sort -- [Graphs](#graphs) - - directed - - undirected - - adjacency matrix - - adjacency list - - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) - - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) -- [Final Review](#final-review) -- [Coding Question Practice](#coding-question-practice) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) - ----------------- Everything below this point is optional ---------------- - -- [Additional Books](#additional-books) -- [Additional Learning](#additional-learning) - - [Dynamic Programming](#dynamic-programming) - - [Compilers](#compilers) - - [Floating Point Numbers](#floating-point-numbers) - - [Unicode](#unicode) - - [Endianness](#endianness) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) - - [Compression](#compression) - - [Networking](#networking) (if you have networking experience or want to be a systems engineer, expect questions) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) - - [Fast Fourier Transform](#fast-fourier-transform) - - [Bloom Filter](#bloom-filter) - - [HyperLogLog](#hyperloglog) - - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) - - [Tries](#tries) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) - - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) - - [Machine Learning](#machine-learning) - - [Go](#go) -- [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) -- [Video Series](#video-series) -- [Computer Science Courses](#computer-science-courses) - ---- - -## ¿Por qué usarlo? - -Estoy siguiendo este plan para prepararme para mi entrevista en Google. He estado construyendo la web, construyendo -servicios, e iniciando empresas desde 1997. Tengo un grado en economía, no un grado en ciencias de los computadores. He sido -muy exitoso en mi carrera, pero quiero trabajar en Google. Quiero progresar dentro de sistemas más grandes -y tener un entendimiento real de ciencias de los computadores, eficiencia algorítmica, rendimiento de estructuras de datos, -lenguajes de bajo nivel, y cómo todo esto funciona. Y si tú no sabes alguno de estos, Google no te contratará. - -Cuando comencé este proyecto, no sabía la diferencia entre **un stack y un heap**, no conocía la notación Big-O, nada acerca de árboles, ni cómo -cruzar una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no sería muy bueno. -Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban -realmente. Yo nunca tuve que manejar memoria a menos que un proceso que yo estaba corriendo diera un error de “out of -memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y -miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. - -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará -meses. Si mucho de ésto te resulta familiar entonces te tomará mucho menos tiempo. - -## Cómo usarlo - -Todo lo que aparece abajo es un plan, y deberías abordar los elementos en orden de arriba a abajo. - -I'm using Github's special markdown flavor, including tasks lists to check progress. - -- [x] Create a new branch so you can check items like this, just put an x in the brackets: [x] - - - Fork a branch and follow the commands below - -`git checkout -b progress` - -`git remote add jwasham https://github.com/jwasham/google-interview-university` - -`git fetch --all` - - Mark all boxes with X after you completed your changes - -`git add . ` - -`git commit -m "Marked x" ` - -`git rebase jwasham/master ` - -`git push --force ` - -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) - -## Envuelvete en la googlemanía - -Imprime una copia de "[futuro Googler](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf)" (o dos) y mantente enfocado en la meta. - -[![Futuro Googler](https://dng5l3qzreal6.cloudfront.net/2016/Oct/Screen_Shot_2016_10_04_at_10_13_24_AM-1475601104364.png)](https://github.com/jwasham/google-interview-university/blob/master/extras/future-googler.pdf) - -## ¿Cómo conseguí el trabajo en Google? - -!Aun no he aplicado!. - -Ahora estoy haciendo problemas de programación todo el día y continuará las próximas semanas, posteriormente aplicaré por medio de una recomendación que he estado posponiedno hasta Febrero (sí, como lo leiste, hasta Febrero). - -Gracias a la persona que me esta recomendando, JP. - -## Sigue el progreso conmigo - -Mi breve historía: [¿Por que estudie a tiempo completo por 8 meses para una entrevista en Gooogle?](https://medium.com/@googleyasheck/why-i-studied-full-time-for-8-months-for-a-google-interview-cc662ce9bb13) - -Aún sigo estudiando, sigue el progresso en: - -- **Blog**: [GoogleyAsHeck.com](https://googleyasheck.com/) -- Twitter: [@googleyasheck](https://twitter.com/googleyasheck) -- Twitter: [@StartupNextDoor](https://twitter.com/StartupNextDoor) -- Google+: [+Googleyasheck](https://plus.google.com/+Googleyasheck) -- LinkedIn: [johnawasham](https://www.linkedin.com/in/johnawasham) - -![John Washam - Google Interview University](https://dng5l3qzreal6.cloudfront.net/2016/Aug/book_stack_photo_resized_18_1469302751157-1472661280368.png) - -## No pienses que no eres suficientemente inteligente -- Los ingenieros de Google son inteligentes, pero muchos tienen la inseguridad de que no son suficientemente inteligentes, incluso trabajando en Google. -- [El mito del genio en programación](https://www.youtube.com/watch?v=0SARbwvhupQ) - -## Acerca de Google - -- [ ] Para Estudiantes - [Trabaja en Google: Guía de desarrollo técnico](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] Como funciona el motor de búsqueda: - - [ ] [La evolucion (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - - [ ] [Como funciona - Historia](https://www.google.com/insidesearch/howsearchworks/thestory/) - - [ ] [Como funciona](https://www.google.com/insidesearch/howsearchworks/) - - [ ] [Como funciona - Matt Cutts (video)](https://www.youtube.com/watch?v=BNHR6IQJGZs) - - [ ] [Como Google hace mejoras en su algoritmo (video)](https://www.youtube.com/watch?v=J5RZOU6vK4Q) -- [ ] Series: - - [ ] [Como Google afrontó el móvil](https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9) - - [ ] [El estudio secreto de Google para averiguar lo que necesitamos](https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf) - - [ ] [Google sera tu cerebro](https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523) - - [ ] [La mente de Demis Hassabis](https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a) -- [ ] [Libro: Como funciona Google](https://www.amazon.com/How-Google-Works-Eric-Schmidt/dp/1455582344) -- [ ] [Hecho por Google comunicado - Oct 2016 (video)](https://www.youtube.com/watch?v=q4y0KOeXViI) - -## Acerca de los recursos en vídeo - -Algunos vídeos estan disponibles sólo al inscribirte en Coursera, EdX o Lynda.com. Éstos se llaman MOOCs (Massive Open Online Courses, -Cursos en línea abiertos masivos). -A veces las clases no están disponibles, por lo que tienes que esperar un par de meses, lo que significa que no tienes acceso. -Los cursos de Lynda.com no son gratis. - - Agradecería tu ayuda para añadir recursos públicos gratis, que siempre estuvieran disponibles, como videos de YouTube - para acompañar los videos de cursos online. - Me gusta usar recursos procedentes de universidades. - -## Prepárate para la entrevista - -- [ ] Videos: - - [ ] [Como trabajar en Google: Prepara la entrevista de ingeniero (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) - - [ ] [Como trabajar en Google: Ejemplo de entrevista de ingeniero (video)](https://www.youtube.com/watch?v=XKu_SEDAykw) - - [ ] [Como trabajar en Google - Sesion de Coaching para el Candidato (video)](https://www.youtube.com/watch?v=oWbUtlUhwa8&feature=youtu.be) - - [ ] [Reclutadores de Google, comparten trucos para la entrevista (video)](https://www.youtube.com/watch?v=qc1owf2-220&feature=youtu.be) - - [ ] [Como trabajar en Google: Preparacion de Currículum (video)](https://www.youtube.com/watch?v=8npJLXkcmu8) - -- [ ] Artículos: - - [ ] [Ser un Googler en tres pasos](http://www.google.com/about/careers/lifeatgoogle/hiringprocess/) - - [ ] [Consigue ese trabajo en Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html) - - Todas las cosas que menciona que necesitas saber están en una lista más abajo - - [ ] _(Desactualizado)_ [Como conseguir un trabajo en Google, Preguntas de Entrevista, Processo de selección](http://dondodge.typepad.com/the_next_big_thing/2010/09/how-to-get-a-job-at-google-interview-questions-hiring-process.html) - - [ ] [Preguntas para la selección por teléfono](http://sites.google.com/site/steveyegge2/five-essential-phone-screen-questions) - -- [ ] Cursos de preparacion: - - [ ] [Entrevista para Ingeniero de Software al descubierto (Curso de pago)](https://www.udemy.com/software-engineer-interview-unleashed): - - Prepárate para entrevistas de Ingeniero de Software con consejos de un entrevistador de Google. - -- [ ] Adicional (No sugerido por Google, pero los añadí): - - [ ] [ABC: Programa siempre que puedas](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - - [ ] [Cuatro pasos a Google sin tener un grado](https://medium.com/always-be-coding/four-steps-to-google-without-a-degree-8f381aa6bd5e#.asalo1vfx) - - [ ] [Whiteboarding (Usar una pizarra blanca)](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) - - [ ] [Que piensa Google de contratar personas, Gestión y Cultura](http://www.kpcb.com/blog/lessons-learned-how-google-thinks-about-hiring-management-and-culture) - - [ ] [Whiteboarding efectivo durante entrevistas de programacion](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) - - [ ] Hacer muy bien la entrevista de programación Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview con el autor Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) - - [ ] Como conseguir un trabajo en una de las 4 grandes: - - [ ] ['Como conseguir un trabajo en una de las 4 grandes - Amazon, Facebook, Google & Microsoft' (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - - [ ] [Haciendo las entrevistas de Google mal](http://alexbowe.com/failing-at-google-interviews/) - -## Escoge un lenguaje para la entrevista - -Escribí un articulo pequeño sobre esto: [Important: Pick One Language for the Google Interview](https://googleyasheck.com/important-pick-one-language-for-the-google-interview/) - -Puedes usar un lenguaje en el que estas cómodo para hacer la parte de código para la entrevista, pero para Google, estas son buenas elecciones: - -- C++ -- Java -- Python - -También podrías usar éstos, pero busca información primero. Puede haber advertencias: - -- JavaScript -- Ruby - -Debes sentirte muy cómodo con el lenguaje y ser experto. - -Lee más acerca de opciones: -- http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ -- http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview - -[Ve recursos de programas aquí](../programming-language-resources.md) - -Verás algunos materiales de aprendizaje de C, C++ y Python abajo, porque estoy aprendiendo. Hay algunos libros involucrados, ve al final. - -## Lista de libros - -Ésta es una lista más corta que la que yo usé. Está abreviada para ahorrarte tiempo. - -### Preparación para la entrevista - -- [ ] [Entrevistas de Programación Expuestas: Secretos para Conseguir tu Próximo Trabajo, 2a Edición](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - respuestas en C++ y Java - - recommendado en entrenamiento para candidato Goole - - éste es un buen calentamiento para Cracking la Entrevista de Programación - - no muy difícil, la mayoría de los problemas podrían ser más fáciles que lo que verás en una entrevista (por lo que he leído) -- [ ] [Cracking la Entrevista de Programación, 6a Edición](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - respuestas en Java - - recommendado en el [sitio de Google Careers](https://www.google.com/about/careers/how-we-hire/interview/) - - si ves personas que hacen referencia a "El Currículum Google", éste era un libro reemplazado por "Cracking la Entrevista de Programación". - -Si tienes mucho tiempo extra: - -- [ ] [Elementos de las Entrevistas de Trabajo](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - - todo el código está en C++, muy bueno si has optado por C++ en tu entrevista - - un libro sobre solución de problemas en general. - -### Computer Architecture - -If short on time: - -- [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - - The book was published in 2004, and is somehat outdated, but it's a terrific resource for understanding a computer in brief. - - The author invented HLA, so take mentions and examples in HLA with a grain of salt. Not widely used, but decent examples of what assembly looks like. - - These chapters are worth the read to give you a nice foundation: - - Chapter 2 - Numeric Representation - - Chapter 3 - Binary Arithmetic and Bit Operations - - Chapter 4 - Floating-Point Representation - - Chapter 5 - Character Representation - - Chapter 6 - Memory Organization and Access - - Chapter 7 - Composite Data Types and Memory Objects - - Chapter 9 - CPU Architecture - - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization - -If you have more time (I want this book): - -- [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - - For a richer, more up-to-date (2011), but longer treatment - -### Language Specific - -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. - -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. - -[Additional language-specific resources here.](../programming-language-resources.md) - -### C++ - -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. - -- [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) - -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. - -### Java - -- [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): - - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) - -OR: - -- [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley - - see my book report on the Python version below. This book covers the same topics. - -### Python - -- [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. - - Pythonic code - - my glowing book report: https://googleyasheck.com/book-report-data-structures-and-algorithms-in-python/ - - -### Optional Books - -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** - -- [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - - As a review and problem recognition - - The algorithm catalog portion is well beyond the scope of difficulty you'll get in an interview. - - This book has 2 parts: - - class textbook on data structures and algorithms - - pros: - - is a good review as any algorithms textbook would be - - nice stories from his experiences solving problems in industry and academia - - code examples in C - - cons: - - can be as dense or impenetrable as CLRS, and in some cases, CLRS may be a better alternative for some subjects - - chapters 7, 8, 9 can be painful to try to follow, as some items are not explained well or require more brain than I have - - don't get me wrong: I like Skiena, his teaching style, and mannerisms, but I may not be Stony Brook material. - - algorithm catalog: - - this is the real reason you buy this book. - - about to get to this part. Will update here once I've made my way through it. - - To quote Yegge: "More than any other book it helped me understand just how astonishingly commonplace - (and important) graph problems are – they should be part of every working programmer's toolkit. The book also - covers basic data structures and sorting algorithms, which is a nice bonus. But the gold mine is the second half - of the book, which is a sort of encyclopedia of 1-pagers on zillions of useful problems and various ways to solve - them, without too much detail. Almost every 1-pager has a simple picture, making it easy to remember. This is a - great way to learn how to identify hundreds of problem types." - - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - - Answers: - - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) - - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - -- [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - To quote Yegge: "But if you want to come into your interviews *prepped*, then consider deferring your application until you've made your way through that book." - - Half.com is a great resource for textbooks at good prices. - - aka CLR, sometimes CLRS, because Stein was late to the game - -- [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) - - The first couple of chapters present clever solutions to programming problems (some very old using data tape) but - that is just an intro. This a guidebook on program design and architecture, much like Code Complete, but much shorter. - -- ~~"Algorithms and Programming: Problems and Solutions" by Shen~~ - - A fine book, but after working through problems on several pages I got frustrated with the Pascal, do while loops, 1-indexed arrays, and unclear post-condition satisfaction results. - - Would rather spend time on coding problems from another book or online coding problems. - - -## Antes de que Comiences - -Esta lista creció durante muchos meses, y sí, más o menos se salió de mis manos. - -Aquí están algunos errores que cometí para que tú tengas una mejor experiencia. - -### 1. No lo Recordarás Todo - -Ví horas de videos y tomé muchas notas, y meses después había muchas cosas que no recordaba. Pasé tres días repasando -mis notas y haciendo tarjetas de memoria para así poder repasar. - -Lee por favor para que no cometas mis errores: - -[Reteniendo Conocimiento en Ciencias de la Computación](https://googleyasheck.com/retaining-computer-science-knowledge/) - -### 2. Usa Tarjetas de Memoria - -Para resolver el problema, hice un sitio para pequeñas tarjetas de memoria donde podía agregar tarjetas de 2 tipos: generales y de código. -Cada tarjeta tiene un formato diferente. - -Hice un sitio web para móviles para que pudiera revisar en mi teléfono o tableta, donde sea que estaba. - -Haz el tuyo gratis: - -- [Repositorio de sitio de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards) -- [Mi base de datos de tarjetas de memoria](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Toma en cuenta que yo fui muy lejos y tengo tarjetas cubriendo todo desde lenguaje ensamblador y Python trivia hasta aprendizaje de máquinas y estadística. Es mucho para lo requerido por Google. - -**Nota en tarjetas de memoria:** La primera vez que te das cuenta que conoces la respuesta, no la marques como conocida. Tienes que ver la -misma carta y responderla correctamente muchas veces antes de que realmente la conozcas. La repetición pondrá ese conocimiento más profundo en -tu cerebro. - -Una alternativa a usar mi sitio de tarjetas de memoria es [Anki](http://ankisrs.net/), el cuál me han recomendado numerosas veces. Usa un sistema de repetición que te ayuda a recordar. -Es amigable con el usuario, disponible en todas las plataformas y tiene un sistema de sincronización en la nube. Cuesta $25 USD para iOS pero es gratis para otras plataformas. - -Mi base de datos de tarjetas de memoria en formato Anki: https://ankiweb.net/shared/info/25173560 (gracias [@xiewenya](https://github.com/xiewenya)) - -### 3. Revisa, revisa, revisa - -Yo mantengo un conjunto de hojas de trucos en ASCII, pila OSI, notación Big-O, y más. Las estudio cuando tengo un poco de tiempo libre. - -Toma un descanso de problemas de programación por media hora y revisa tus tarjetas de memoria. - -### 4. Enfócate - -Hay muchas distracciones que pueden quitarte tiempo valioso. El enfoque y la concentración son difíciles. - -## Lo que no Verás Cubierto - -Esta gran lista comenzó como una lista personal de cosas por hacer hecha de notas de entrenamiento para entrevista en Google. Estas son tecnologas predominantes -pero no fueron mencionadas en esas notas. - -- SQL -- Javascript -- HTML, CSS, y otras tecnologías de front-end. - -## The Daily Plan - -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. - -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. - -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). - -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) - -I may not have time to do all of these for every subject, but I'll try. - -You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) - -You don't need to memorize the guts of every algorithm. - -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. - -## Prerequisite Knowledge - -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. - - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - - This is a short book, but it will give you a great handle on the C language and if you practice it a little - you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - - [answers to questions](https://github.com/lekkas/c-algorithms) - -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) - -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] Skiena: - - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) -- [ ] [Cheat sheet](http://bigocheatsheet.com/) - - - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics videos to get the background knowledge. - -## Data Structures - -- ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: - - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) - - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) - - [ ] Implement a vector (mutable array with automatic resizing): - - [ ] Practice coding using arrays and pointers, and pointer math to jump to an index instead of using indexing. - - [ ] new raw data array with allocated memory - - can allocate int array under the hood, just not use its features - - start with 16, or if starting number is greater, use power of 2 - 16, 32, 64, 128 - - [ ] size() - number of items - - [ ] capacity() - number of items it can hold - - [ ] is_empty() - - [ ] at(index) - returns item at given index, blows up if index out of bounds - - [ ] push(item) - - [ ] insert(index, item) - inserts item at index, shifts that index's value and trailing elements to the right - - [ ] prepend(item) - can use insert above at index 0 - - [ ] pop() - remove from end, return value - - [ ] delete(index) - delete item at index, shifting all trailing elements left - - [ ] remove(item) - looks for value and removes index holding it (even if in multiple places) - - [ ] find(item) - looks for value and returns first index with that value, -1 if not found - - [ ] resize(new_capacity) // private function - - when you reach capacity, resize to double the size - - when popping an item, if size is 1/4 of capacity, resize to half - - [ ] Time - - O(1) to add/remove at end (amortized for allocations for more space), index, or update - - O(n) to insert/remove elsewhere - - [ ] Space - - contiguous in memory, so proximity helps performance - - space needed = (array capacity, which is >= n) * size of item, but even if 2n, still O(n) - -- ### Linked Lists - - [ ] Description: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - - not the whole video, just portions about Node struct and memory allocation. - - [ ] Linked List vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) - - [ ] Gotcha: you need pointer to pointer knowledge: - (for when you pass a pointer to a function that may change the address where that pointer points) - This page is just to get a grasp on ptr to ptr. I don't recommend this list traversal style. Readability and maintainability suffer due to cleverness. - - [Pointers to Pointers](https://www.eskimo.com/~scs/cclass/int/sx8.html) - - [ ] implement (I did with tail pointer & without): - - [ ] size() - returns number of data elements in list - - [ ] empty() - bool returns true if empty - - [ ] value_at(index) - returns the value of the nth item (starting at 0 for first) - - [ ] push_front(value) - adds an item to the front of the list - - [ ] pop_front() - remove front item and return its value - - [ ] push_back(value) - adds an item at the end - - [ ] pop_back() - removes end item and returns its value - - [ ] front() - get value of front item - - [ ] back() - get value of end item - - [ ] insert(index, value) - insert value at index, so current item at that index is pointed to by new item at index - - [ ] erase(index) - removes node at given index - - [ ] value_n_from_end(n) - returns the value of the node at nth position from the end of the list - - [ ] reverse() - reverses the list - - [ ] remove_value(value) - removes the first item in the list with this value - - [ ] Doubly-linked List - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No need to implement - -- ### Stack - - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) - - [ ] Will not implement. Implementing with array is trivial. - -- ### Queue - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) - - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) - - [ ] Implement using linked-list, with tail pointer: - - enqueue(value) - adds value at position at tail - - dequeue() - returns value and removes least recently added element (front) - - empty() - - [ ] Implement using fixed-sized array: - - enqueue(value) - adds item at end of available storage - - dequeue() - returns value and removes least recently added element - - empty() - - full() - - [ ] Cost: - - a bad implementation using linked list where you enqueue at head and dequeue at tail would be O(n) - because you'd need the next to last element, causing a full traversal each dequeue - - enqueue: O(1) (amortized, linked list and array [probing]) - - dequeue: O(1) (linked list and array) - - empty: O(1) (linked list and array) - -- ### Hash table - - [ ] Videos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) - - - [ ] Online Courses: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) - - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) - - [ ] distributed hash tables: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - - [ ] implement with array using linear probing - - hash(k, m) - m is size of hash table - - add(key, value) - if key already exists, update value - - exists(key) - - get(key) - - remove(key) - -## Para saber más - -- ### Búsqueda binaria - - [ ] [Búsqueda binaria (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - - [ ] [Búsqueda binaria (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - - [ ] [Detalle](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) - - [ ] Implementacion: - - Búsqueda binaria (En arrays de enteros ordenados) - - Búsqueda binaria con recursividad - -- ### Operaciones bit a bit - - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - you should know many of the powers of 2 from (2^1 to 2^16 and 2^32) - - [ ] Entiende como manipular bits perfectamente con: &, |, ^, ~, >>, << - - [ ] [Palabras](https://en.wikipedia.org/wiki/Word_(computer_architecture)) - - [ ] Buena introduccion: - [Manipulacion de bits (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) - - [ ] [Tutorial de programacion en C 2-10: Operadores bit a bit (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) - - [ ] [Manipulacion de bits](https://en.wikipedia.org/wiki/Bit_manipulation) - - [ ] [Operacion bit a bit](https://en.wikipedia.org/wiki/Bitwise_operation) - - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) - - [ ] [El manipulador de Bits](http://bits.stephan-brumme.com/) - - [ ] [El manipulador de bits interactivo](http://bits.stephan-brumme.com/interactive.html) - - [ ] Complementos de a 2 y de a 1 - - [Binario: Mas y Menos (Porqué utilizamos el complemento a 2) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - - [Complemento a 1](https://en.wikipedia.org/wiki/Ones%27_complement) - - [Complemento a 2](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] Contar bits activados - - [$ maneras de contar bits en un byte (video)](https://youtu.be/Hzuzo9NJrlc) - - [Contar bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - - [Como contar los bits activados en un entero de 32 bits](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) - - [ ] Redondear a la siguiente potencia de 2: - - [Redondear a la siguiente potencia de 2](http://bits.stephan-brumme.com/roundUpToNextPowerOfTwo.html) - - [ ] Intercambiar valores: - - [Intercambio](http://bits.stephan-brumme.com/swap.html) - - [ ] Valor absoluto: - - [Entero absoluto](http://bits.stephan-brumme.com/absInteger.html) - -## Trees - -- ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) - space complexity: - best: O(log n) - avg. height of tree - worst: O(n) - - inorder (DFS: left, self, right) - - postorder (DFS: left, right, self) - - preorder (DFS: self, left, right) - -- ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) - - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] Implement: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max - - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree - - [ ] is_binary_search_tree - - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none - -- ### Heap / Priority Queue / Binary Heap - - visualized as a tree, but is usually linear in storage (array, linked list) - - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: - - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). - -## Sorting - -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") - - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. - - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) - -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. - -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - -- [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - -- [ ] Merge sort code: - - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) - - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: - - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) - -- [ ] Implement: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. - -- [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) - - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - -If you need more detail on this subject, see "Sorting" section in [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - -## Graphs - -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. - -- Notes from Yegge: - - There are three basic ways to represent a graph in memory: - - objects and pointers - - matrix - - adjacency list - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. - -- [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - -- [ ] Graphs (review and more): - - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - -- Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - -- Yegge: If you get a chance, try to study up on fancier algorithms: - - [ ] Dijkstra's algorithm - see above - 6.006 - - [ ] A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - -- I'll implement: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - -You'll get more graph practice in Skiena's book (see Books section below) and the interview books - -## Aún más conocimiento - -- ### Recursividad - - [ ] Artículos de Stanford acerca de recursividad y backtracking: - - [ ] [Artículo 8 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Artículo 9 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Artículo 10 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Artículo 11 | Abstracciones en Programación (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - Cuando es apropiado usarla - - Recursividad de cola - - [ ] [Que es recursividad de cola Por qué es tan mala?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Recursividad de cola (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Programacion orientada a objetos - - [ ] [Opcional: UML 2.0 (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Ingeniería de Software orientada a objetos (OOSE): Desarrollo de Software usando UML y Java (21 videos): - - Puedes obviar esto si tienes un buen conocimiento de prácticas de diseño de POO. - - [OOSE: Desarrollo de Software usando UML y Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] Principios SOLID de Desarrollo de Software: - - [ ] [Principios SOLID en diseño ágil y orientado a objetos, por Bob Martin (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [Patrones de diseño SOLID en C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [Principios SOLID (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle (Principio de responsabilidad única)](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [Para saber más](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principle (Principio de abierto/cerrado)](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principle (Principio de sustitucion de Liskov)](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle (Principio de segregacion de interfaces)](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Principio de segregacion de interfaces en 5 minutos (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle ()Principio de Inversion de Dependencia](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Qué es el principio de inversion de dependencia y por qué es importante?](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [Para saber más](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Patrones de diseño - - [ ] [Breve repaso de UML (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Apréndete estos patrones: - - [ ] strategy - - [ ] singleton - - [ ] adapter - - [ ] prototype - - [ ] decorator - - [ ] visitor - - [ ] factory, abstract factory - - [ ] facade - - [ ] observer - - [ ] proxy - - [ ] delegate - - [ ] command - - [ ] state - - [ ] memento - - [ ] iterator - - [ ] composite - - [ ] flyweight - - [ ] [Capítulo 6 (Parte 1) - Patrones (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Capítulo 6 (Parte 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Capítulo 6 (Parte 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Series de videos (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Patrones Head First](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - Sé que "Design Patterns: Elements of Reusable Object-Oriented Software" es el libro más relevante, pero "Head First" esta muy bien para los que empiezan con POO - - [ ] [Link interesante: 101 Patrones de diseno & Trucos para desarrolladores](https://sourcemaking.com/design-patterns-and-tips) - -- ### Combinatoria (n en k) & Probabilidad - - [ ] [Habilidades matemáticas: Factoriales, Permutaciones y Combinaciones (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Probabilidad (un video de Make School)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [More Probability and Markov Chains (un video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) - - [ ] Khan Academy: - - Estructura del curso: - - [ ] [Probabilidad teórica básica](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Solo los 41 videos - (Son simples y cortos): - - [ ] [Probabilidad Explicación (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Completo and Algoritmos de aproximación - - Conocer los problemas NP-Completo más famosos, como el problema del viajante o el de la mochila, y ser capaz de - reconocerlos cuando un entrevistador pregunta por ellos disimuladamente. - - Saber que es y en que consiste un problema NP-Completo. - - [ ] [Complejidad Computacional (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - - [ ] Simonson: - - [ ] [Algoritmos voraces II & Introducción a NP-Completo (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP-Completo II & Reducciones (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP-Completo III (Video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP-Completo IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) - - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introducción a NP-Completo (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - Demostrar problemas NP-Completo (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - Problema NP-Completo (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complejidad: P, NP, NP-completo, Reducciones (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complejidad: Algoritmos de aproximación (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complejidad: Algoritmos de parámetro fijo (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvik habla sobre soluciones casi óptimas para el problema del viajante: - - [Cuaderno Jupyter](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Páginas 1048 - 1140 de [CLRS](https://en.wikipedia.org/wiki/Introduction_to_Algorithms) si lo tienes a mano. - -- ### Memoria Caché - - [ ] Menos usado recientemente (LRU): - - [ ] [La magia de la caché LRU (100 días de desarrollador de Google) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementando LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 Caché LRU (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] Caché de la CPU: - - [ ] [MIT 6.004 L15: La jerarquía de la memoria (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Caché - Problemas y situaciones (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Hilos y procesos - - [ ] Ciencias de la computación 162 - Sistemas operativos (25 videos): - - Para hilos y procesos ver los videos 1-11 - - [Sistemas Operativos y Programación de Sistemas (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [Cuál es la diferencia entre un proceso y un hilo?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Cubre / Abarca: - - Procesos, hilos y Concurrencia - - Diferencia entre hilos y procesos - - Procesos - - Hilos - - Bloqueos - - Mutexes (Cierre de exclusión mutua) - - Semáforos - - Monitores de concurrencia - - Como funcionan - - Deadlock (Bloqueo mutuo) - - Livelock (Bloqueo mutuo, variante de deadlock) - - Actividad de la CPU, Interrupciones, cambios de contexto - - Concurrencia moderna con procesadores multi núcleo - - Demanda de recursos de un proceso (memoria: Códigos, almacenamiento estático, stack, heap, descriptores de archivo e I/O (Entrada / Salida)) - - Demanda de recursos de los hilos (Comparte los anteriores, a excepción de stack, con otros hilos en el mismo proceso, pero cada uno tiene su propio contador de programa, contador de stack, registros, y stack) - - Forking realmente es copia en escritura (read-only) hasta que el nuevo proceso escribe en memoria, entonces hace una copia completa. - - Cambio de contextos - - Como se inicia el cambio de contexto por el sistema operativo y el hardware que hay debajo - - [ ] [Hilos en C++ (Serie - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] Concurrencia en Python (videos): - - [ ] [Series pequeñas acerca de hilos](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Hilos en Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Entendiendo GIL en Python (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [Referencia](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Concurrencia en Python desde el principio: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Temas interesantes (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex en Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Artículos y publicaciones - - Estos provienen de Google y otros muy conocidos. - - Leerlos de principio a fin, tratando de comprenderlos complementamente, quizás te lleve más tiempo del que puedas disponer. Te recomiendo que seas selectivo con los artículos y sus secciones. - - [ ] [1978: Comunicación en procesos secuenciales](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [Implementación en GO](https://godoc.org/github.com/thomas11/csp) - - [Te gustan los artículos clásicos?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [2003: El sistema de archivos de Google](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - Reemplazado por Colossus en 2012 - - [ ] [2004: MapReduce: Procesamiento de datos simplificado en grandes clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - casi reemplazado por Cloud Dataflow? - - [ ] [2007: Lo que cualquier programador debe saber acerca de la memoria (bastante extenso, el autor recomienda saltarse algunas secciones)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2012: Colossus de Google](https://www.wired.com/2012/07/google-colossus/) - - Publicaciones no disponible - - [ ] 2012: AddressSanitizer: Un sanity check muy rápido para direcciones: - - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [Video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: La base de datos distribuida de Google: - - [Publicación](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [Video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: El alto tipo de interés de la deuda tecnológica (The High-Interest Credit Card of Technical Debt)](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Líneas de ejecución continuas en Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: Alta disponibilidad a gran escala: Construyendo la infraestructura de datos para los anuncios y publicidad de Google](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Machine Learning a gran escala en sistemas distribuidos heterogéneos](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: Como los desarrolladores buscan código: Un caso de estudio](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, y Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - -- ### Testing - - Abarcar / Cubrir: - - Como funciona el testing - - Que son mocks de objetos - - Que son tests de integracion - - Que es inyección de dependencias - - [ ] [Testing de Software Ágil con James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Artículo de James Bach acerca de Testing de Software (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Desarrollo conducido por tests (Test-Driven Development, TDD) - Eso no fue lo que quisimos decir (video)](https://vimeo.com/83960706) - - [Diapositivas](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD está muerto. Larga vida al testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [TDD está muerto? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Series (152 videos) - No todos son necesarios (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [TDD para Web con Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Inyeccion de dependencias: - - [ ] [Video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao del Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [Como escribir tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Planificador - - En el sistema operativo, como funciona - - Puede ser extraído de videos acerca de sistemas operativos - -- ### Implementar rutinas del sistema - - Entender que hay debajo de las APIs de programación que utilizas - - Las puedes implementar? - -- ### Búsqueda de strings y manipulación - - [ ] [Sedgewick - Array de sufijos (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Búsqueda de substrings (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introducción a la búsqueda de substrings](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Búsqueda de substrings por fuerza bruta](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) - - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Búsqueda en texto por patrón (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - - Si necesitas más detalles acerca de este tema, ve a la sección "String Matching" en [Información adicional en algunos temas](#informacion-adicional-en-algunos-temas) - ---- - -## System Design, Scalability, Data Handling -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations from Yegge: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets - - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) -- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) -- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) -- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. -- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) -- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) -- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) -- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) -- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) -- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: - - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) - - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) - - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) - - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) - - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) - - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) - - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) - - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) - - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) - - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) - - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) - - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) - - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) - - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) - - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together - - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: - - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) - - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) - - [Design a function to return the top k requests during past time interval]( https://icmi.cs.ucsb.edu/research/tech_reports/reports/2005-23.pdf) - - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) - - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) - - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) - - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) - ---- - -## Final Review - - This section will have shorter videos that can you watch pretty quickly to review most of the important concepts. - It's nice if you want a refresher often. - -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) - - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) - - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) - - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) - - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) - - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) - - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) - - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) - - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) - - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) - - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) - - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) - ---- - -## Coding Question Practice - -Now that you know all the computer science topics above, it's time to practice answering coding problems. - -**Coding question practice is not about memorizing answers to programming problems.** - -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions - -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: -[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) - -[My Process for Coding Interview (Book) Exercises](https://googleyasheck.com/my-process-for-coding-interview-exercises/) - -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. - -![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) - -Supplemental: - -- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) -- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) -- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) -- [Exercises for getting better at a given language](http://exercism.io/languages) - -**Read and Do Programming Problems (in this order):** - -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java - -See [Book List above](#book-list) - -## Coding exercises/challenges - -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. - -- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) -- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) - -Challenge sites: -- [LeetCode](https://leetcode.com/) -- [TopCoder](https://www.topcoder.com/) -- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) -- [Codewars](http://www.codewars.com) -- [HackerRank](https://www.hackerrank.com/) -- [Codility](https://codility.com/programmers/) -- [InterviewCake](https://www.interviewcake.com/) -- [Geeks for Geeks](http://www.geeksforgeeks.org/) -- [InterviewBit](https://www.interviewbit.com/invite/icjf) - -Maybe: -- [Mock interviewers from big companies](http://www.gainlo.co/) - -## Once you're closer to the interview - -- [ ] Cracking The Coding Interview Set 2 (videos): - - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) - -## Your Resume - -- [Ten Tips for a (Slightly) Less Awful Resume](http://steve-yegge.blogspot.co.uk/2007_09_01_archive.html) -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed - - -## Be thinking of for when the interview comes - -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. - -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing Google product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? - -## Have questions for the interviewer - - Some of mine (I already may know answer to but want their opinion or team perspective): - -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? - -## Once You've Got The Job - -Congratulations! - -- [10 things I wish I knew on my first day at Google](https://medium.com/@moonstorming/10-things-i-wish-i-knew-on-my-first-day-at-google-107581d87286#.livxn7clw) - -Keep learning. - -You're never really done. - ---- - - ***************************************************************************************************** - ***************************************************************************************************** - - Everything below this point is optional. These are my recommendations, not Google's. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. - - ***************************************************************************************************** - ***************************************************************************************************** - ---- - -## Additional Books - -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie -- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option -- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) -- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns -- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book -- [ ] [Site Reliability Engineering](https://landing.google.com/sre/book.html) - - [Site Reliability Engineering: How Google Runs Production Systems](https://landing.google.com/sre/) -- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) - -## Additional Learning - -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. - - [ ] Videos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) - - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - -- ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) - -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) - -- ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - -- ### Emacs and vi(m) - - suggested by Yegge, from an old Amazon recruiting post: Familiarize yourself with a unix-based code editor - - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: - - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) - - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): - - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - -- ### Unix command line tools - - suggested by Yegge, from an old Amazon recruiting post. I filled in the list below from good tools. - - [ ] bash - - [ ] cat - - [ ] grep - - [ ] sed - - [ ] awk - - [ ] curl or wget - - [ ] sort - - [ ] tr - - [ ] uniq - - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) - -- ### Information theory (videos) - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: - - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. - -- ### Parity & Hamming Code (videos) - - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - - [ ] Hamming Code: - - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) - - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - -- ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - -- ### Cryptography - - also see videos below - - make sure to watch information theory videos first - - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): - - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know - - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) - - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming - - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - -- ### Messaging, Serialization, and Queueing Systems - - [ ] [Thrift](https://thrift.apache.org/) - - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) - - [ ] [gRPC](http://www.grpc.io/) - - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - - [ ] [Redis](http://redis.io/) - - [Tutorial](http://try.redis.io/) - - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) - - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) - - [ ] [RabbitMQ](https://www.rabbitmq.com/) - - [Get Startet](https://www.rabbitmq.com/getstarted.html) - - [ ] [Celery](http://www.celeryproject.org/) - - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) - - [ ] [ZeroMQ](http://zeromq.org/) - - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) - - [ ] [ActiveMQ](http://activemq.apache.org/) - - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) - - [ ] [MessagePack](http://msgpack.org/index.html) - - [ ] [Avro](https://avro.apache.org/) - -- ### Fast Fourier Transform - - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) - - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) - - [Tutorial](http://billmill.org/bloomfilter-tutorial/) - - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) - -- ### HyperLogLog - - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) - -- ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. - - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) - -- ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - -- ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) - -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - -- ### Balanced search trees - - Know least one type of balanced binary tree (and know how it's implemented): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. - - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary - - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. - - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) - - -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) - -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - -- ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - -- ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - -- ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) - -- ### Treap - - Combination of a binary search tree and a heap - - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) - -- ### Linear Programming (videos) - - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) - -- ### Geometry, Convex hull (videos) - - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - -- ### Discrete math - - see videos below - -- ### Machine Learning - - [ ] Why ML? - - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: - - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: - - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) - - Data School: http://www.dataschool.io/ - -- ### Go - - [ ] Videos: - - [ ] [Why Learn Go?](https://www.youtube.com/watch?v=FTl0tl9BGdc) - - [ ] [Go Programming](https://www.youtube.com/watch?v=CF9S4QZuV30) - - [ ] [A Tour of Go](https://www.youtube.com/watch?v=ytEkHepK08c) - - [ ] Books: - - [ ] [An Introduction to Programming in Go (read free online)](https://www.golang-book.com/books/intro) - - [ ] [The Go Programming Language (Donovan & Kernighan)](https://www.amazon.com/Programming-Language-Addison-Wesley-Professional-Computing/dp/0134190440) - - [ ] [Bootcamp](https://www.golang-book.com/guides/bootcamp) - --- - -## Información adicional en algunos temas - - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? - -- [ ] **Union-Find** - - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) - - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) - - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) - - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) - - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - -- [ ] **More Dynamic Programming** (videos) - - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) - -- [ ] **Advanced Graph Processing** (videos) - - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) - -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) - - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) - -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - -- [ ] **String Matching** - - [ ] Rabin-Karp (videos): - - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) - - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) - - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) - - [ ] Knuth-Morris-Pratt (KMP): - - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - - [ ] Boyer–Moore string search algorithm - - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped - -- [ ] **Sorting** - - - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) - - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) - -## Video Series - -Sit back and enjoy. "Netflix and skill" :P - -- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) - -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) - -- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) - -- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) - -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) - -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) - -- [ ] CSE373 - Analysis of Algorithms (25 videos) - - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) - -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) - -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) - -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) - -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) - -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) - -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) - -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) - -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) - -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) - -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) - -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) - -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) - -- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) - -- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) - -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) - -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) - -## Computer Science Courses - -- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - diff --git a/translations/ar/README.md b/translations/README_ar.md similarity index 100% rename from translations/ar/README.md rename to translations/README_ar.md diff --git a/translations/cn/README.md b/translations/README_cn.md similarity index 100% rename from translations/cn/README.md rename to translations/README_cn.md diff --git a/translations/es/README.md b/translations/README_es.md similarity index 96% rename from translations/es/README.md rename to translations/README_es.md index 3f2ef095c1..96ce20cc0e 100644 --- a/translations/es/README.md +++ b/translations/README_es.md @@ -2,7 +2,7 @@ - Versión original: [Inglés](README.md) -> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!](src/AdquiridoAmazon.md) +> Originalmente creé esto como una lista corta de tópicos a estudiar para volverse un Ingeniero de Software, pero creció hasta ser la gran lista puede apreciar actualmente. Después de pasar por este plan de estudios ¡[fui contratado como Ingeniero de Desarrollo de Software en Amazon!(Art. Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) > Posiblemente no tenga que estudiar mucho como yo. De cualquier forma todo lo que necesita esta aquí. @@ -88,8 +88,8 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Grafos](#grafos) - Dirigidos - No dirigidos - - Matriz de adyacencia - - Lista de adyacencia + - Matriz de adyacencia + - Lista de adyacencia - Recorridos: BFS, DFS - [Más información adicional](#más-información-adicional) - [Recursión](#recursión) @@ -172,7 +172,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, Cuando comencé este proyecto, no sabía la diferencia entre un stack y un heap, no conocía la notación Big-O, nada acerca de árboles, ni cómo sacar la transversal de una gráfica. Si tenía que programar un algoritmo de clasificación, puedo decir que no hubiera sido muy bueno. Cada estructura de datos que había utilizado estaba incorporada al lenguaje, y yo no sabía cómo funcionaban realmente. Yo nunca tuve que manejar la memoria a menos que un proceso que yo estaba corriendo diera un error de “out of memory”, y tenía que encontrar una alternativa. He usado pocos arreglos de varias dimensiones en mi vida y miles de arreglos asociativos, pero nunca he creado estructuras de datos desde cero. -Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. +Pero después de pasar por todo este plan de estudios tengo mucha confianza de que seré contratado. Me toará meses. Si mucho de esto te resulta familiar entonces te tomará mucho menos tiempo. Es un plan largo, puede tome unos meses; pero si le resulta familiar mucho de esto le tomara mucho menos tiempo. @@ -215,7 +215,7 @@ Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. - + Me gustan recursos provenientes de universidades. @@ -233,8 +233,8 @@ Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuita - [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Aprenda como alistarse para una entrevista de Ingeniería de Software con un entrevistador de Google. - - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - Un curso enfocado a una entrevista centrada en Python; que cubre estructuras de datos, algoritmos, plantillas de entrevistas y mucho más. ## Escoja un lenguaje para la entrevista @@ -244,7 +244,7 @@ Puede usar un lenguaje con el que este cómodo para hacer la parte de código pa - Java - Python -También podrías usar éstos, pero busca información primero. Puede haber advertencias: +También podrías usar éstos, pero busca información primero. Puede haber advertencias: - JavaScript - Ruby @@ -437,20 +437,20 @@ Estas son tecnologías predominantes, pero no están cubiertas por este plan de ## El plan diario -Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. +Algunos temas tomarán un día y otros tomarán varios. Algunos son solo para aprender sin nada que implementar. Cada día yo tomé un tema de los siguientes, vi videos sobre el tema y escribía una implementación: -- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. +- C - usando estructuras y funciones que toman una estructura * y otra cosa como argumentos. - C++ - sin utilizar tipos incorporados -- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada +- C++ - usando tipos incorporados, como std::list de STL para una lista enlazada - Python - usando tipos incorporados (para seguir practicando Python) - y escribir pruebas para asegurarme de que lo estoy haciendo bien, a veces simplemente usando simples declaraciones assert() - Puede hacer Java o algo más, esto es solo lo mío. No necesita todo esto. Solo necesita [un lenguaje para la entrevista](#escoja-un-lenguaje-para-la-entrevista). -¿Por qué codificar en todo esto? +¿Por qué codificar en todo esto? - Práctica, práctica, práctica… hasta que me canse de ello y pueda hacerlo sin ningún problema (algunos usan técnicas y marcadores para recordar) - Trabajar dentro de las restricciones primarias (asignar / liberar memoria sin ayuda del garbage collection (excepto Python)) - Hacer uso de los tipos incorporados para que tenga experiencia usando las herramientas de tipos incorporados para su uso en el mundo real (no escribiré mi propia implementación de listas enlazadas en producción) @@ -466,7 +466,7 @@ No es necesario recordar las entrañas de cada algoritmo. Escriba código en un pizarrón o en papel no en la computadora. Pruebe con alguna entrada de prueba. Después pruébelos en la computadora. -## Conocimientos Previos +## Conocimientos Previos - [ ] **Aprenda C** - C esta en todos lados. Verá ejemplos en libros, lecturas, videos, *en todo lugar* mientras esté estudiando. @@ -517,30 +517,30 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Implemente un vector (Arreglo mutable con redimensionamiento automático): - [ ] Practique codificar usando arreglos y apuntadores, y un apuntador matemático para saltar a un índice en lugar de utilizar la indexación. - [ ] Nueva arreglo de información primaria con memoria asignada - - Puede asignar un arreglo entero, simplemente no use sus características + - Puede asignar un arreglo entero, simplemente no use sus características - Empiece con 16, o si el número inicial es mayor, use potencias del 2 - 16, 32, 64, 128 - [ ] size() – Número de elementos - [ ] capacity() – Número de elementos soportados - [ ] is_empty() - - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites + - [ ] at(index) – Regresa el elemento al índice dado, falla si el índice esta fuera de sus limites - [ ] push(item) - [ ] insert(index, item) – Inserta el elemento en el índice, intercambia el valor del índice y desplaza los elementos a la derecha - [ ] prepend(item) – Puede usar para insertar encima del índice 0 - [ ] pop() – Elimina del final, regresa el valor - [ ] delete(index) – Elimina el elemento en el índice, intercambia todos desplazándolos a la izquierda - - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) + - [ ] remove(item) – Busca el valor y elimina el índice lo contiene(aunque este en varios lugares) - [ ] find(item) – Busca el valor y regresa el primer índice con ese valor, -1 si no encuentra - [ ] resize(Nueva capacidad) // Función privada - Cuando alcance el límite, redimensiona al doble el tamaño - Cuando se haga “pop” a un elemento, si el tamaño es 1/4 de la capacidad, redimensiona a la mitad - [ ] Tiempo - O(1) Para añadir/eliminar al final (Amortizado para asignaciones por más espacio), índice o actualización - - O(n) Para insertar/eliminar donde sea + - O(n) Para insertar/eliminar donde sea - [ ] Espacio - Contiguo en la memoria, por lo que la proximidad ayuda al rendimiento - Espacio necesario = (capacidad de matriz, que es> = n) * tamaño del elemento, pero incluso si 2n, todavía O (n)) -- ### Listas Enlazadas +- ### Listas Enlazadas - [ ] Descripción: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) @@ -558,20 +558,20 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] size() – Regresa el número de elementos en la lista - [ ] empty() – Un bool que regresa verdadero si está vacío - [ ] value_at(index) – Regresa el valor del el n-avo elemento (iniciando con el 0 como primero) - - [ ] push_front(value) – Añade un elemento al frente de la lista - - [ ] pop_front() – Elimina el elemento frontal y regresa su valor - - [ ] push_back(value) – Añade un elemento al final - - [ ] pop_back() – Elimina el último elemento y devuelve su valor - - [ ] front() – Obtiene el valor del elemento frontal + - [ ] push_front(value) – Añade un elemento al frente de la lista + - [ ] pop_front() – Elimina el elemento frontal y regresa su valor + - [ ] push_back(value) – Añade un elemento al final + - [ ] pop_back() – Elimina el último elemento y devuelve su valor + - [ ] front() – Obtiene el valor del elemento frontal - [ ] back() – Obtiene el valor del último elemento - - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice - - [ ] erase(index) – Borra el nodo del índice dado - - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista + - [ ] insert(index, value) – Inserta valor en el índice, por lo que el valor actual en ese índice es apuntado al nuevo elemento en el índice + - [ ] erase(index) – Borra el nodo del índice dado + - [ ] value_n_from_end(n) – Regresa el valor del nodo en la n-ava posición a partir del final de la lista - [ ] reverse() – Pone al revés toda la lista - - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor + - [ ] remove_value(value) – Borra el primer elemento en la lista con ese valor - [ ] Doble lista enlazada - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) - - No es necesario + - No es necesario - ### Pila - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) @@ -587,8 +587,8 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - dequeue() – Regresa el valor y elimina el valor más recientemente añadido(frontal) - empty() - [ ] Implementar usando arreglos de tamaño fijo: - - enqueue(value) – Añade elemento al final del almacenamiento disponible - - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido + - enqueue(value) – Añade elemento al final del almacenamiento disponible + - dequeue() – Regresa el valor y elimina el elemento más recientemente añadido - empty() - full() - [ ] Costo: @@ -619,15 +619,15 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) - - [ ] Implementar con arreglo usando sondaje lineal + - [ ] Implementar con arreglo usando sondaje lineal - hash(k, m) - m es el tamaño de la matriz asociativa - add(key, value) – Si la llave ya existe , actualiza el valor - exists(key) - get(key) - remove(key) -## Información adicional -- ### Búsqueda binaria +## Información adicional +- ### Búsqueda binaria - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) @@ -635,7 +635,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - Búsqueda binaria (en un arreglo ordenado de enteros) - Búsqueda binaria usando recursión -- ### Operaciones bit a bit +- ### Operaciones bit a bit - [ ] [Bits cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) - Debería conocer varias de las potencias de 2 a partir de (2^1 to 2^16 and 2^32) - [ ] Obtenga un buen entendimiento de la manipulación de bits con: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) @@ -651,7 +651,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) - - [ ] Contar bits puestos + - [ ] Contar bits puestos - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) @@ -666,7 +666,7 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - ### Árboles - Notas & Antecedentes - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - Construcción básica de árboles + - Construcción básica de árboles - Recorrido - Algoritmos de manipulación - BFS (búsqueda en amplitud) @@ -704,18 +704,18 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - [ ] Implementar: - [ ] insert // Inserta valores en el árbol - - [ ] get_node_count // Obtener la cuenta de los valores almacenados + - [ ] get_node_count // Obtener la cuenta de los valores almacenados - [ ] print_values // Imprime los valores en el árbol, del min al max - [ ] delete_tree - - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol + - [ ] is_in_tree // Devuelve verdadero si el valor dado existe en el árbol - [ ] get_height // Regresa la altura en los nodos (La altura de cada nodo es 1) - [ ] get_min // Regresa el valor mínimo almacenado en el árbol - - [ ] get_max // Regresa el valor máximo almacenado en el árbol + - [ ] get_max // Regresa el valor máximo almacenado en el árbol - [ ] is_binary_search_tree - [ ] delete_value - [ ] get_successor // Regresa el siguiente valor más alto en el árbol después del valor dado,-1 si ninguno -- ### Montículo / Colas de Prioridad / Montículo binario +- ### Montículo / Colas de Prioridad / Montículo binario - Visto como un árbol, pero usualmente es lineal en el almacenamiento (arreglo, lista enlazada) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) @@ -734,19 +734,19 @@ Escriba código en un pizarrón o en papel no en la computadora. Pruebe con algu - [ ] Implementar una cola máxima: - [ ] insert - [ ] sift_up – Necesario para el insert - - [ ] get_max – Regresa el máximo elemento, sin eliminarlo + - [ ] get_max – Regresa el máximo elemento, sin eliminarlo - [ ] get_size() – Regresa el número de elementos almacenados - [ ] is_empty() – Devuelve verdadero si la cola está vacía - - [ ] extract_max – Regresa el máximo elemento, eliminándolo + - [ ] extract_max – Regresa el máximo elemento, eliminándolo - [ ] sift_down – Necesario para extract_max - [ ] remove(i) – Elimina el elemento en el índice x - [ ] heapify – Crea una cola de un arreglo de elementos, necesario para heap_sort - - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima + - [ ] heap_sort() – Toma un arreglo no ordenado y lo convierte en un arreglo ordenando en su lugar usando una cola máxima - Nota: Usar una cola mínima reduciría operaciones, pero duplicaría el espacio necesario (No se puede hacer en lugar). -## Ordenamientos +## Ordenamientos - [ ] Notas: - - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: + - Implementar ordenamientos y conocer el mejor/peor de los casos y el promedio de complejidad de cada uno: - No ordenamiento de burbuja - Es terrible - O(n^2), excepto cuando n <= 16 - [ ] Estabilidad en algoritmos de ordenamiento("¿Es Quicksort estable?") - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) @@ -875,7 +875,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] Verificación de grafo bipartito Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas -## Más información adicional +## Más información adicional - ### Recursión - [ ] Conferencias de Stanford sobre la recursividad y retroceso: - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) @@ -887,11 +887,11 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) -- ### Programación Dinámica +- ### Programación Dinámica - Este tema puede ser bastante difícil, ya que cada problema soluble PD debe definirse como una relación de recursión, y llegar a ella puede ser complicado. - Sugiero que busque muchos ejemplos de problemas de PD hasta que tenga una comprensión sólida del patrón involucrado. - [ ] Videos: - - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver + - Los videos de Skiena pueden ser duros de seguir ya que a veces usa el pizarrón que es demasiado pequeño para ver - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) @@ -912,7 +912,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) -- ### Programación Orientada a Objetos +- ### Programación Orientada a Objetos - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - Puede omitir esto si tiene una gran comprensión de OO y OO prácticas de diseño. @@ -933,7 +933,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) -- ### Patrones de diseño +- ### Patrones de diseño - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - [ ] Aprenda estos patrones: - [ ] strategy @@ -993,7 +993,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - Paginas 1048 - 1140 en CLRS si lo tiene. -- ### Memoria cache +- ### Memoria cache - [ ] LRU cache: - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) @@ -1092,10 +1092,10 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - ### Planificador - En un SO, Como funciona - - Se pueden obtener de los videos del sistema operativo + - Se pueden obtener de los videos del sistema operativo - ### Implementar rutinas del sistema - - Entienda lo que hay debajo de las API de programación que usa + - Entienda lo que hay debajo de las API de programación que usa - ¿Puede implementarlas? - ### Búsqueda de cadenas y manipulaciones @@ -1127,7 +1127,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) -- ### Números de punto flotante +- ### Números de punto flotante - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) @@ -1159,7 +1159,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) -## Diseño del Sistema, Escalabilidad, Manejo de Datos +## Diseño del Sistema, Escalabilidad, Manejo de Datos - **Puede esperar preguntas sobre el diseño del sistema si tiene más de 4 años de experiencia.** - La escalabilidad y el diseño del sistema son temas muy extensos con muchos temas y recursos, ya que hay mucho que considerar al diseñar un sistema de software / hardware que puede escalar. Espere dedicarle un buen tiempo a esto. - Consideraciones: @@ -1323,7 +1323,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros --- -## Practica de preguntas de codificación +## Practica de preguntas de codificación Ahora que conoce todos los tópicos de las Ciencias de la Computación mencionados anteriormente, es tiempo de practicar respondiendo algunos problemas de codificación. @@ -1359,7 +1359,7 @@ Complementarios: Vea [Lista de libros](#lista-de-libros) -## Ejercicios de codificación/Desafíos +## Ejercicios de codificación/Desafíos Una vez haya aprendido, ponga ese cerebro a trabajar. Tome desafíos de codificación todos los días y tantos como pueda. @@ -1391,18 +1391,18 @@ Bosquejos de entrevista: - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - [Refdash: Mock interviews](https://refdash.com/) -## Una vez cerca de la entrevista +## Una vez cerca de la entrevista - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) -## Su CV +## Su CV - Vea los elementos de preparación en **Cracking The Coding Interview and back of Programming Interviews Exposed** -## Pensando en cuando llegue la entrevista +## Pensando en cuando llegue la entrevista Piense en aproximadamente veinte preguntas de la entrevista que usted conseguirá, junto con las líneas de abajo. Tenga 2-3 respuestas para cada una. Tener una historia, no sólo datos, sobre algo que logro. @@ -1420,7 +1420,7 @@ Tener una historia, no sólo datos, sobre algo que logro. - ¿Qué aprendió en [x trabajo / y proyecto]? - ¿Qué habría hecho mejor en [x trabajo / y proyecto]? -## Preguntas para el entrevistador +## Preguntas para el entrevistador Algunos de las mías (ya sé u respuesta, pero quiero su opinión o la perspectiva del equipo): @@ -1445,15 +1445,15 @@ Nunca está de verdad realizado. ***************************************************************************************************** ***************************************************************************************************** Todo lo que está debajo de este punto es opcional. - Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de - la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. + Mediante el estudio de estos, obtendrá una mayor exposición a más conceptos de la Ciencia de + la Computación, y estará mejor preparado para cualquier trabajo de Ingeniería de Software. Usted será un Ingeniero de Software mucho más completo. ***************************************************************************************************** ***************************************************************************************************** --- -## Libros adicionales +## Libros adicionales - [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - Viejo pero bueno - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) @@ -1466,17 +1466,17 @@ Nunca está de verdad realizado. - El libro canonico de diseño de patrones - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) -## Aprendizaje adicional +## Aprendizaje adicional Es probable que estos temas no aparezcan en una entrevista, pero los añadí para ayudarle a convertirse en un Ingeniero de Software más completo, y ser consciente en ciertas tecnologías y algoritmos, para que tenga una caja de herramientas más grande. -- ### Compiladores +- ### Compiladores - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) -- ### Emacs y Vi(m) +- ### Emacs y Vi(m) - Familiarícese con un editor de código basado en Unix - Vi(m): - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) @@ -1497,7 +1497,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) -- ### Unix: Herramientas para la línea de comandos +- ### Unix: Herramientas para la línea de comandos - Llene la lista inferior con buenas herramientas. - [ ] bash - [ ] cat @@ -1527,20 +1527,20 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) -- ### Entropía +- ### Entropía - También vea los videos de abajo - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) -- ### Criptografía +- ### Criptografía - También ve los videos de abajo - - Asegúrese de ver los videos de la teoría de la información primero + - Asegúrese de ver los videos de la teoría de la información primero - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) -- ### Compresión - - Asegúrese de ver los videos de la teoría de la información primero +- ### Compresión + - Asegúrese de ver los videos de la teoría de la información primero - [ ] Computerphile (videos): - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) @@ -1551,7 +1551,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) -- ### Seguridad informática +- ### Seguridad informática - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) @@ -1576,7 +1576,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) -- ### Sistemas de mensajería, serialización y colas +- ### Sistemas de mensajería, serialización y colas - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) @@ -1620,19 +1620,19 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - ### HyperLogLog - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) -- ### Hashing sensible a la localidad +- ### Hashing sensible a la localidad - Usado para determiner la similitude de documentos - Lo opuesto de MD5 o SHA que son usados para determinar si dos documentos/cadenas son exactamente iguales. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) -- ### Árboles van Emde Boa +- ### Árboles van Emde Boa - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - ### Estructuras de datos aumentadas - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) -- ### Árboles de búsqueda equilibrada +- ### Árboles de búsqueda equilibrada - Conocer por lo menos un tipo de árbol binario equilibrado (y saber cómo se implementa): - " Entre los árboles de búsqueda equilibrada, los árboles AVL y 2/3 están ahora pasados de moda, y los árboles rojo-negro parecen ser más populares. Una estructura de datos auto-organizable particularmente interesante es el árbol biselados, que utilizan rotaciones para mover cualquier clave accedida a la raíz.." - Skiena @@ -1704,18 +1704,18 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - Los primeros 37 minutos son muy técnicos, puede saltarlos (B es tamaño de bloque, tamaño de línea de caché) -- ### Árboles k-D +- ### Árboles k-D - Ideal para encontrar el número de puntos en un rectángulo o un objeto de dimensión superior - - Un buen ajuste para k-vecinos más cercanos + - Un buen ajuste para k-vecinos más cercanos - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) -- ### Lista por saltos +- ### Lista por saltos - " Éste es algo de una culta estructura de datos" - Skiena - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) -- ### Flujos de red +- ### Flujos de red - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) @@ -1724,7 +1724,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) -- ### Matemáticas para procesamiento rápido +- ### Matemáticas para procesamiento rápido - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) @@ -1745,10 +1745,10 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) -- ### Matemáticas discretas +- ### Matemáticas discretas - Vea videos debajo -- ### Aprendizaje automático +- ### Aprendizaje automático - [ ] ¿Por qué el aprendizaje automático? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) @@ -1777,7 +1777,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par -- -## Detalles adicionales de ciertos temas +## Detalles adicionales de ciertos temas Agregué estos para reforzar algunas ideas ya presentadas anteriormente, pero no quería incluirlas arriba porque es demasiado. Es fácil exagerar en un tema. ¿Quieres ser contratado en este siglo, verdad? @@ -1846,7 +1846,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Series de videos +## Series de videos Siéntese y disfrute. "Netflix and skill" :P @@ -1910,8 +1910,7 @@ Siéntese y disfrute. "Netflix and skill" :P - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) -## Cursos de Informática +## Cursos de Informática - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) - diff --git a/translations/fr/README.md b/translations/README_fr.md similarity index 100% rename from translations/fr/README.md rename to translations/README_fr.md diff --git a/translations/he/README.md b/translations/README_he.md similarity index 100% rename from translations/he/README.md rename to translations/README_he.md diff --git a/translations/hi/README.md b/translations/README_hi.md similarity index 100% rename from translations/hi/README.md rename to translations/README_hi.md diff --git a/translations/id/README.md b/translations/README_id.md similarity index 100% rename from translations/id/README.md rename to translations/README_id.md diff --git a/translations/ko/README.md b/translations/README_ko.md similarity index 100% rename from translations/ko/README.md rename to translations/README_ko.md diff --git a/translations/pl/README.md b/translations/README_pl.md similarity index 100% rename from translations/pl/README.md rename to translations/README_pl.md diff --git a/translations/th/README.md b/translations/README_th.md similarity index 100% rename from translations/th/README.md rename to translations/README_th.md diff --git a/translations/uk/README.md b/translations/README_uk.md similarity index 100% rename from translations/uk/README.md rename to translations/README_uk.md diff --git a/translations/vi/README.md b/translations/README_vi.md similarity index 100% rename from translations/vi/README.md rename to translations/README_vi.md diff --git a/translations/es/src/AdquiridoAmazon.md b/translations/es/src/AdquiridoAmazon.md deleted file mode 100644 index db0eb1d8d4..0000000000 --- a/translations/es/src/AdquiridoAmazon.md +++ /dev/null @@ -1,22 +0,0 @@ -## [Fuente (Texto en Inglés)](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu) - -# Fui adquirido por Amazon -### 06 Marzo 2017 - - -Si ha estado siguiendo mis aventuras, sabrá he hecho startups por años, el año pasado no fue diferencia. Trate los últimos once meses como un inicio ( estudiando a tiempo completo para desarrollar mis habilidades para ser más comercial), con el objetivo de ser adquirido (en esta caso contratado) por una compañía grande. - - -Como debe saber, los últimos once meses fueron muy difíciles para mi. Como un desarrollador web autodidacta por quince años, mi plan de estudios de Ciencias de la Computación me tomó meses y más meses para practicar para la entrevista en la pizarra. El factor motivante fue iniciar una nueva carrera como un Ingeniero de Software. - - -Bueno, sali de mi zona de confort e hice muchos amigos y me conecte con cada gigante tecnológico en el Noroeste Pacífico. De todos ellos, Amazon se destacó como la empresa más innovadora de los últimos 10 años. Me presenté a través de una referencia, a quien había conocido en un evento a inicios del 2013, e hice el proceso de enlistamiento. - -Después de tantos meses de esfuerzo, sacrificio y preocupación sin parar, me complace anunciar que finalmente !lo logré! - -**Hoy acepte una oferta como un Ingeniero de Desarrollo de Software en Amazon.com.** -Trabajar en Amazon es un sueño vuelto realidad y trabajaré en el equipo de [Amazon Web Services Config](https://aws.amazon.com/config/). He tratado de trabajar en AWS por varios años. He usado AWS desde el 2012 cuando me inicie en el uso del CloudFormation para automatizar la construcción y ampliación de la infraestructura. - - ![Amazon Web Services](https://d2mw6vgfxwlz2a.cloudfront.net/2017/03Amazon_Web_Services_Logo-1488839386502.png) - -[AWS Config](https://aws.amazon.com/config/) es un servicio totalmente administrado que proporciona a los equipos operativos el inventario de recursos de AWS, el historial de configuración y las notificaciones de cambios de configuración para habilitar la seguridad y la gobernanza. Las reglas de configuración permiten a los administradores crear reglas que comprueban automáticamente la configuración de los recursos de AWS registrados por AWS Config, así como definir las acciones que AWS puede tomar para solucionar problemas automáticamente. diff --git a/translations/mock-up/how-to.md b/translations/how-to.md similarity index 100% rename from translations/mock-up/how-to.md rename to translations/how-to.md diff --git a/translations/mock-up/The Myth of the Genius Programmer Google Developers .odp b/translations/mock-up/The Myth of the Genius Programmer Google Developers .odp deleted file mode 100644 index e7d278a43b6eac1a3ea6305a1b4ecdf412f99de0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 2381769 zcmb5V1yEf<(>92^1b26LcXtaO+}+*X-CcugaCZoDA$SN9++BmiUXu5F_pfiawrY9m z-aBV%m^0_hOm|QB)5>z-5O5&>{zyRBC~GR1fEOPh7~sdw%FfKy%hAlp(b3k*#K_gk z!Jf(8-jvb7$i>Qq(ZSKo-qgXw&Cbl;mC@1J%mw)Sw~aEeQ*;ohzg>`k0NVUVn+QQc 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zXO@D@)SJzB*=N75k<;I7c&1`p^sgVsv8{6H)#s~+0d4}MPmEiT^Kl&8>!UlCXsbXo z!H|9Ma{BF^7F>cc+!XF^{;6;X8qxgaC?Z#OxX>;E-o^&QL#W4lEd*0|SY)Vsq$xBa zT<+@p$dxdb&HB6joSBCgv$VeFtCUi&mrAwrVAkrBQ}^Qf|W$~s|o3@umK?r zBXUm@1guptS+^p=urxYA2x%D6u9hHR?8+b>jtNX#K0yd+7?JDQUL8(2bIu?V*Bmbm z7%hY}jF^!~5yQAlQ#aNtb&^pCX&7@kJHM#f zVH7O4gJDGCG=hL#Atq(+K9ZoZcd!!DFyeA1Md&%i!xh&1>t+fe4I_HzeWtF6Co8ST z%cH3HVkm`3$p-`HUiZ1qXQh@y@Z!Db8Fz99`8A!|#+h_TKT!KyRK zWpuI6NFk(QgwBs33~WVGB3)-{VVETiBjQ&Qga;eWeqCa9{*dydVZ?zPf`F+z6V8-; zO++jVa;0H}%MprTyIH$cZmIr|Go@j~)hdc$^M%Lwi%SMWx{-zv0k0^6O~1j8Sp~D8 zL8W2DzTS33T5RrAe@Lfg7%G2yc@u=?BRkcPboJe=t%y}KC_*tRXnprmeXCR}!giho zf$o^Hc+gs0eS=YJ@q3|`;;Q?M)ByEWI<0`suvI4~zUX2db#Z*ZOKV{vMupo6^=&We y()hi4Woetmiqh}jvR4 Date: Sat, 27 May 2017 21:02:56 -0500 Subject: [PATCH 161/236] Fixed errors and typos --- translations/{README_ar.md => README-ar.md} | 0 translations/{README_cn.md => README-cn.md} | 0 translations/{README_es.md => README-es.md} | 19 +++++++++++-------- translations/{README_fr.md => README-fr.md} | 0 translations/{README_he.md => README-he.md} | 0 translations/{README_hi.md => README-hi.md} | 0 translations/{README_id.md => README-id.md} | 0 translations/{README_ko.md => README-ko.md} | 0 translations/{README_pl.md => README-pl.md} | 0 translations/{README_th.md => README-th.md} | 0 translations/{README_uk.md => README-uk.md} | 0 translations/{README_vi.md => README-vi.md} | 0 12 files changed, 11 insertions(+), 8 deletions(-) rename translations/{README_ar.md => README-ar.md} (100%) rename translations/{README_cn.md => README-cn.md} (100%) rename translations/{README_es.md => README-es.md} (98%) rename translations/{README_fr.md => README-fr.md} (100%) rename translations/{README_he.md => README-he.md} (100%) rename translations/{README_hi.md => README-hi.md} (100%) rename translations/{README_id.md => README-id.md} (100%) rename translations/{README_ko.md => README-ko.md} (100%) rename translations/{README_pl.md => README-pl.md} (100%) rename translations/{README_th.md => README-th.md} (100%) rename translations/{README_uk.md => README-uk.md} (100%) rename translations/{README_vi.md => README-vi.md} (100%) diff --git a/translations/README_ar.md b/translations/README-ar.md similarity index 100% rename from translations/README_ar.md rename to translations/README-ar.md diff --git a/translations/README_cn.md b/translations/README-cn.md similarity index 100% rename from translations/README_cn.md rename to translations/README-cn.md diff --git a/translations/README_es.md b/translations/README-es.md similarity index 98% rename from translations/README_es.md rename to translations/README-es.md index 96ce20cc0e..52e30efc60 100644 --- a/translations/README_es.md +++ b/translations/README-es.md @@ -133,7 +133,7 @@ Si desea ser un Ingeniero de Escalabilidad/Seguridad o un Ingeniero de Sistemas, - [Criptografía](#criptografía) - [Compresión](#compresión) - [Seguridad informática](#seguridad-informática) - - [Garbage collection](#garbage-collection) + - [Recolección de basura](#recolección-de-basura) - [Programación en paralelo](#programacion-en-paralelo) - [Sistemas de mensajería, serialización y colas](#sistemas-de-mensajería-serialización-y-cola) - [A*](#a) @@ -182,7 +182,7 @@ Todo lo que aparece abajo es un plan, y debería abordar los elementos en orden Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas para comprobar el progreso. -[] **Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** +**Cree una nueva rama para que pueda validar elementos como este, solo ponga una x en los corchetes: [x]** Haga fork a una rama y siga los comandos siguientes @@ -211,10 +211,10 @@ Estoy usando el tema especial de markdown de Github, incluyendo listas de tareas - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) ## Acerca de los recursos de vídeo -Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. -En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. + Algunos videos solo están disponibles inscribiéndose a una clase de Coursera, EdX, o Lynda.com. Estos son llamados MOOCs. + En ocasiones las clases no están en sesión por lo que tendrá que esperar un par de meses, por lo que no tiene acceso. Los cursos de Lynda.com no son gratuitos. -Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. + Apreciaría su ayuda añadiendo fuentes siempre disponibles, publicas y gratuitas como videos de Youtube para acompañar a los videos del curso en línea. Me gustan recursos provenientes de universidades. @@ -873,6 +873,8 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] Cuenta los componentes conectados en un grafo - [ ] Lista de componentes fuertemente conectados - [ ] Verificación de grafo bipartito + + Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional @@ -1566,14 +1568,15 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) -- ### Garbage collection +- ### Recolección de basura - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) -- ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) +- ### Programación en paralelo + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) - ### Sistemas de mensajería, serialización y colas @@ -1692,7 +1695,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - [ ] **Árboles-B** - - Dato curios: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) + - Dato curioso: Es un misterio, pero la B puede ser por Boeing, Balanceado, o Bayer (co-inventor) - En práctica: Árboles-B son ampliamente utilizados en bases de datos. La mayoría de los sistemas de archivos modernos utilizan árboles B (o variantes). Además de su uso en bases de datos, el árbol B también se utiliza en sistemas de archivos para permitir el acceso rápido y aleatorio a un bloque arbitrario en un archivo en particular. El problema básico es convertir la dirección de bloque de archivos i en una dirección de bloque de disco (o tal vez a una dirección de cilindro-cabezal). - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) diff --git a/translations/README_fr.md b/translations/README-fr.md similarity index 100% rename from translations/README_fr.md rename to translations/README-fr.md diff --git a/translations/README_he.md b/translations/README-he.md similarity index 100% rename from translations/README_he.md rename to translations/README-he.md diff --git a/translations/README_hi.md b/translations/README-hi.md similarity index 100% rename from translations/README_hi.md rename to translations/README-hi.md diff --git a/translations/README_id.md b/translations/README-id.md similarity index 100% rename from translations/README_id.md rename to translations/README-id.md diff --git a/translations/README_ko.md b/translations/README-ko.md similarity index 100% rename from translations/README_ko.md rename to translations/README-ko.md diff --git a/translations/README_pl.md b/translations/README-pl.md similarity index 100% rename from translations/README_pl.md rename to translations/README-pl.md diff --git a/translations/README_th.md b/translations/README-th.md similarity index 100% rename from translations/README_th.md rename to translations/README-th.md diff --git a/translations/README_uk.md b/translations/README-uk.md similarity index 100% rename from translations/README_uk.md rename to translations/README-uk.md diff --git a/translations/README_vi.md b/translations/README-vi.md similarity index 100% rename from translations/README_vi.md rename to translations/README-vi.md From 43a2ff421f8bd806084a0199ebf34bc43fcee7d5 Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 13:43:37 +0100 Subject: [PATCH 162/236] Parallel programming links are back in English version --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9016239a04..62f8f6132d 100644 --- a/README.md +++ b/README.md @@ -1584,7 +1584,6 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - - ### Computer Security - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) @@ -1608,6 +1607,9 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - ### Parallel Programming + - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - ### Messaging, Serialization, and Queueing Systems - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) From c29c27efee669d742e95b8390a1afb221d05801d Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 13:51:40 +0100 Subject: [PATCH 163/236] Moving moved translations to where they were --- translations/README-he.md => README-he.md | 0 translations/README-hi.md => README-hi.md | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename translations/README-he.md => README-he.md (100%) rename translations/README-hi.md => README-hi.md (100%) diff --git a/translations/README-he.md b/README-he.md similarity index 100% rename from translations/README-he.md rename to README-he.md diff --git a/translations/README-hi.md b/README-hi.md similarity index 100% rename from translations/README-hi.md rename to README-hi.md From 1a6e03cc7722f24dff50a083dff43550568f9ab1 Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sun, 28 May 2017 14:04:45 +0100 Subject: [PATCH 164/236] Ignores windows and unix backup files --- .gitignore | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.gitignore b/.gitignore index e8fbd5fe43..417a4e55da 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,5 @@ .idea -personal-9894.md -~$ADME-es.txt -translations/~$ADME-es.md -translations/es/~$README.md + +// Targets Windows & Unix temporary files +~$* +*~ From 56723c2a8911aa51ff12aa15a0da7987eb42ab5b Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 28 May 2017 10:02:24 -0700 Subject: [PATCH 165/236] Added back my personal ignored file. --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index 417a4e55da..ab7de4e931 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ .idea +personal-9894.md // Targets Windows & Unix temporary files ~$* From 8457d8321d78b2ed8bf07285ef6cda2ca361e050 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 28 May 2017 10:05:15 -0700 Subject: [PATCH 166/236] Moved Spanish translation to completed section. --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 62f8f6132d..934d237a97 100644 --- a/README.md +++ b/README.md @@ -11,10 +11,11 @@ > *Best of luck to you!* Translations: -- [中文版本](translations/README-cn.md) -- [Tiếng Việt - Vietnamese](translations/README-vi.md) -- translations in progress: - - [Español](https://github.com/jwasham/coding-interview-university/issues/80) + - [中文版本](translations/README-cn.md) + - [Tiếng Việt - Vietnamese](translations/README-vi.md) + - [Español](translations/README-es.md) + +Translations in progress: - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) From 43054772add0b86ff98e29c69ec9489ecf645fa5 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 28 May 2017 10:05:45 -0700 Subject: [PATCH 167/236] Moved Spanish translation to completed section. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 934d237a97..6c7d8425b1 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,7 @@ Translations: - [Tiếng Việt - Vietnamese](translations/README-vi.md) - [Español](translations/README-es.md) + Translations in progress: - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) From 3584f38e598170961122050fa606e7d9247b49d7 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 28 May 2017 10:06:10 -0700 Subject: [PATCH 168/236] Moved Spanish translation to completed section. --- README.md | 41 ++++++++++++++++++++--------------------- 1 file changed, 20 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 6c7d8425b1..009cd97253 100644 --- a/README.md +++ b/README.md @@ -11,29 +11,28 @@ > *Best of luck to you!* Translations: - - [中文版本](translations/README-cn.md) - - [Tiếng Việt - Vietnamese](translations/README-vi.md) - - [Español](translations/README-es.md) - +- [中文版本](translations/README-cn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) +- [Español](translations/README-es.md) Translations in progress: - - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) - - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) - - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) - - [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) - - [Turkish](https://github.com/jwasham/coding-interview-university/issues/90) - - [French](https://github.com/jwasham/coding-interview-university/issues/89) - - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) - - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) - - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) - - [Korean](https://github.com/jwasham/coding-interview-university/issues/118) - - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) - - [German](https://github.com/jwasham/coding-interview-university/issues/135) - - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) - - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) - - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) +- [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) +- [עברית](https://github.com/jwasham/coding-interview-university/issues/82) +- [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) +- [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) +- [Turkish](https://github.com/jwasham/coding-interview-university/issues/90) +- [French](https://github.com/jwasham/coding-interview-university/issues/89) +- [Russian](https://github.com/jwasham/coding-interview-university/issues/87) +- [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) +- [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) +- [Korean](https://github.com/jwasham/coding-interview-university/issues/118) +- [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) +- [Polish](https://github.com/jwasham/coding-interview-university/issues/122) +- [German](https://github.com/jwasham/coding-interview-university/issues/135) +- [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) +- [Thai](https://github.com/jwasham/coding-interview-university/issues/156) +- [Greek](https://github.com/jwasham/coding-interview-university/issues/166) +- [Italian](https://github.com/jwasham/coding-interview-university/issues/170) ## What is it? From 16d333e12d7d2e516370c951722dd88bae0fae52 Mon Sep 17 00:00:00 2001 From: John Washam Date: Mon, 29 May 2017 11:06:59 -0700 Subject: [PATCH 169/236] Removed a video that was removed from YouTube. --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 009cd97253..39ce8bb74f 100644 --- a/README.md +++ b/README.md @@ -1424,7 +1424,6 @@ Mock Interviews: - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) ## Your Resume From 26dea8f463e303744aa8542d4c47f03638370557 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 4 Jun 2017 10:34:43 -0700 Subject: [PATCH 170/236] Fixed broken link. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 39ce8bb74f..d2af6c0af2 100644 --- a/README.md +++ b/README.md @@ -556,7 +556,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Linked Lists - [ ] Description: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) + - [ ] [CS 61B - Linked Lists 1 (video)](https://www.youtube.com/watch?v=htzJdKoEmO0&list=PL4BBB74C7D2A1049C&index=7) + - [ ] [CS 61B - Linked Lists 2 (video)](https://www.youtube.com/watch?v=-c4I3gFYe3w&index=8&list=PL4BBB74C7D2A1049C) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - not the whole video, just portions about Node struct and memory allocation. - [ ] Linked List vs Arrays: From 07eccbe84440cdb8e2abfadbf69797ea1e27d847 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 01:18:00 -0300 Subject: [PATCH 171/236] fixed typos, improved parts of previous translation and translated section Trees, closes #11 --- translations/README-ptbr.md | 162 ++++++++++++++++++------------------ 1 file changed, 81 insertions(+), 81 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 670172bc77..266e39c8ec 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -527,7 +527,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) (listas ligadas individualmente (vídeo)) - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) (CS 61B - Listas Ligadas (vídeo)) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C (vídeo)) - - não o vídeo inteiro, apenas partes sobre estrutura de nodes (nós) e alocação de memória. + - não o vídeo inteiro, apenas as partes sobre estrutura de nodes (nós) e alocação de memória. - [ ] Listas Ligadas vs Arrays: - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamental: Listas Ligadas vs Arrays (vídeo)) - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) (No Mundo Real: Listas Ligadas vs Arrays (vídeo)) @@ -621,7 +621,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Lógica binária - [ ] [Bits cheat sheet](https://github.com/jwasham/google-interview-university/blob/master/extras/cheat%20sheets/bits-cheat-cheet.pdf) (Folha de consultas sobre Bits) - você deve conhecer várias das potências de 2 de (2^1 até 2^16 e 2^32) - - [ ] Consiga um bom entendimento sobre manipular bits com: &, |, ^, ~, >>, << + - [ ] Consiga um bom entendimento sobre manipulação de bits com: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) (palavras) - [ ] Boa introdução: [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) (Manipulação de Bit (vídeo)) @@ -631,10 +631,10 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) (Snippets/Fragmentos de código, um tipo de cheatsheet (folha de consultas)) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) (Interativo) - - [ ] Complemento de 2s e 1s - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) (Binário: Vantagens & Desvantagens (Por Que Usamos Complemento de 2s) (vídeo)) - - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) (Complemento de 1s) - - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) (Complemento de 2s) + - [ ] Complemento de 2 e 1 + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) (Binário: Vantagens & Desvantagens (Por Que Usamos Complemento de 2) (vídeo)) + - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) (Complemento de 1) + - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) (Complemento de 2) - [ ] contagem de bits fixos - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) (4 maneiras de contar bits em um byte (vídeo)) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) (Contagem de Bits) @@ -646,88 +646,88 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] valor absoluto: - [Absolute Integer](http://bits.stephan-brumme.com/absInteger.html) (Número Inteiro Absoluto) -## Trees - -- ### Trees - Notes & Background - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) - - basic tree construction - - traversal - - manipulation algorithms - - BFS (breadth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) - - level order (BFS, using queue) - time complexity: O(n) - space complexity: best: O(1), worst: O(n/2)=O(n) - - DFS (depth-first search) - - [MIT (video)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) - - notes: - time complexity: O(n) +## Árvores + +- ### Árvores - Anotações e Fundamentos + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) (Série: Árvores Fundamentais (vídeo)) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) (Série: Árvores (vídeo)) + - contrução básica de árvore + - transversal + - algorítmos de manipulação + - Busca em largura (conhecido no Inglês como BFS ou breadth-first search) + - [MIT (vídeo)](https://www.youtube.com/watch?v=s-CYnVz-uh4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=13) + - ordem de nível (busca em largura, usando filas) + complexidade de tempo: O(n) + complexidade de espaço: melhor: O(1), pior: O(n/2)=O(n) + - Busca em profundidade (conhecido no Inglês como DFS ou depth-first search) + - [MIT (vídeo)](https://www.youtube.com/watch?v=AfSk24UTFS8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=14) + - anotações: + complexidade de tempo: O(n) space complexity: - best: O(log n) - avg. height of tree - worst: O(n) - - inorder (DFS: left, self, right) - - postorder (DFS: left, right, self) - - preorder (DFS: self, left, right) - -- ### Binary search trees: BSTs - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Series (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - - starts with symbol table and goes through BST applications - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) - - [ ] [MIT (video)](https://www.youtube.com/watch?v=9Jry5-82I68) + melhor: O(log n) - altura média da árvore + pior: O(n) + - em-ordem ou ordem simétrica(na busca em profundidade (ou DFS): percorre subárvore esquerda em ordem simétrica (em-ordem), visita a raiz, percorre subárvore direita em ordem simétrica) + - pós-ordem (na busca em profundidade (ou DFS): percorre subárvore esquerda em pós-ordem, percorre subárvore direita em pós-ordem, visita a raiz) + - pré-ordem (na busca em profundidade (ou DFS): visita a raiz, percorre subárvore esquerda em pré-ordem, percorre subárvore direita em pré-ordem) + +- ### Árvores binárias de busca: ABB + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Revisão de Árvores Binárias de Busca (vídeo)) + - [ ] [Série (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) + - começa com tabela de símbolos e passa por aplicações de ABB + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) (Introdução (vídeo)) + - [ ] [MIT (vídeo)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) (Árvore binária de busca - Implementação em C/C++ (vídeo)) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) (Implementação de ABB - alocação de memória estática (stack) e dinâmica (heap) (vídeo)) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Encontrar elementos min e max em uma árvore binária de busca (vídeo)) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) (Encontrar altura de uma árvore binária (vídeo)) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) (Percurso de uma árvore binária - estratégias de busca em largura e busca em profundidade (vídeo)) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Árvore binária: Percurso de Ordens de Níveis (vídeo)) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Percurso de árvore binária: Pré-ordem, Em-ordem (ordem simétrica), Pós-ordem (vídeo)) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Verificar se uma árvore binária é uma árvore binária de busca ou não (vídeo)) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) (Deletar um nó de uma Árvore Binária de Busca (vídeo)) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Sucessor Em-ordem em uma árvore binária de busca (vídeo)) - [ ] Implementar: - - [ ] insert // insert value into tree - - [ ] get_node_count // get count of values stored - - [ ] print_values // prints the values in the tree, from min to max + - [ ] insert // insere um valor na árvore + - [ ] get_node_count // obtém contagem de valores armazenados + - [ ] print_values // exibe os valores na árvore, do min até o max - [ ] delete_tree - - [ ] is_in_tree // returns true if given value exists in the tree - - [ ] get_height // returns the height in nodes (single node's height is 1) - - [ ] get_min // returns the minimum value stored in the tree - - [ ] get_max // returns the maximum value stored in the tree + - [ ] is_in_tree // retorna "true" se tal valor existir na árvore + - [ ] get_height // retorna a altura nos nós (altura de nó único é 1) + - [ ] get_min // retorna o valor mínimo armazenado na árvore + - [ ] get_max // retorna o valor máximo armazenado na árvore - [ ] is_binary_search_tree - [ ] delete_value - - [ ] get_successor // returns next-highest value in tree after given value, -1 if none - -- ### Heap / Priority Queue / Binary Heap - - visualized as a tree, but is usually linear in storage (array, linked list) - - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) - - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - - [ ] Implement a max-heap: + - [ ] get_successor // retorna o próximo maior valor na árvore após dado valor, -1 se não houver nenhum + +- ### Memória Dinâmica (heap) / Filas Prioritárias / Memória Dinâmica Binária (heap binary) + - visualizada como uma árvore, mas geralmente é linear no armazenamento (array, lista ligada) + - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) (Memória DInâmica) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) (Introdução (vídeo)) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) (Implementações Ingênuas (vídeo)) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) (Árvores Binárias (vídeo)) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) (Observações sobre Altura de Árvore (vídeo)) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) (Operações Básicas (vídeo)) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) (Árvores Binárias Completas (vídeo)) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) (Pseudocódigo (vídeo)) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) (Algoritmo de Ordenação heapsort - pula para o começo (vídeo)) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) (Algoritmo de Ordenação heapsort (vídeo)) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) (Construindo uma memória dinâmica (heap) (vídeo)) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (MIT: Memórias Dinâmias e heapsort (vídeo)) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) (CS (Ciência da Computação) 61B Aula 24: Filas Prioritárias (vídeo)) + - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) (BuildHeap em Tempo Linear (heap máxima)) + - [ ] Implementar uma heap máxima (max-heap): - [ ] insert - - [ ] sift_up - needed for insert - - [ ] get_max - returns the max item, without removing it - - [ ] get_size() - return number of elements stored - - [ ] is_empty() - returns true if heap contains no elements - - [ ] extract_max - returns the max item, removing it - - [ ] sift_down - needed for extract_max - - [ ] remove(i) - removes item at index x - - [ ] heapify - create a heap from an array of elements, needed for heap_sort - - [ ] heap_sort() - take an unsorted array and turn it into a sorted array in-place using a max heap - - note: using a min heap instead would save operations, but double the space needed (cannot do in-place). + - [ ] sift_up - necessário insert + - [ ] get_max - retorna o item max (maior item), sem removê-lo + - [ ] get_size() - retorna o número de elementos armazenados + - [ ] is_empty() - retorna "true" se o heap não contém elementos + - [ ] extract_max - retorna o item max (maior item), removendo ele + - [ ] sift_down - necessário para extract_max + - [ ] remove(i) - remove o item no índice x + - [ ] heapify - cria um heap a partir de um array de elementos, necessário para heap_sort + - [ ] heap_sort() - pega um array não-ordenado e o transforma em um array ordenado "in-place" (sem gerar um novo array) usando uma heap máxima (max-heap) + - nota: usando uma heap mínima (min-heap) ao invés de uma heap máxima (max-heap) poderia salvar operações, mas duplicar o espaço necessário (não é possível fazer "in-place") ## Sorting From 5678cf942a7796e4240d136b1e1a8f3e18bc70a9 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 01:30:28 -0300 Subject: [PATCH 172/236] updated index and fixed formatting of some sentences --- translations/README-ptbr.md | 146 ++++++++++++++++++------------------ 1 file changed, 73 insertions(+), 73 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 266e39c8ec..43519fc188 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -53,7 +53,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Mais Conhecimento](#mais-conhecimento) - [Binary search](#binary-search) - [Bitwise operations](#bitwise-operations) -- [Trees](#trees) +- [Árvores](#árvores) - [Trees - Notes & Background](#trees---notes--background) - [Binary search trees: BSTs](#binary-search-trees-bsts) - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) @@ -456,24 +456,24 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [answers to questions](https://github.com/lekkas/c-algorithms) (respostas para as questões) - [ ] **Como computadores processam um programa:** - - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) (Como uma CPU executa um programa (vídeo)) - - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) (Instruções de Código de Máquina (vídeo)) + - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) (Como uma CPU executa um programa - vídeo) + - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) (Instruções de Código de Máquina - vídeo) ## Complexidade Algorítmica / Big-O / Análise assintótica - nada para implementar -- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) (Harvard CS50 - Notação Assintótica (vídeo)) -- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) (Notações Big-O (rápido tutorial geral) (vídeo)) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Notação Big-O (e Omega e Theta) - melhor explicação matemática (vídeo)) +- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) (Harvard CS50 - Notação Assintótica - vídeo) +- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) (Notações Big-O (rápido tutorial geral) - vídeo) +- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Notação Big-O (e Omega e Theta) - melhor explicação matemática - vídeo) - [ ] Skiena: - [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) (Uma Introdução Gentil a Análise de Complexidade Algoritmica) -- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) (Ordens de Crescimento (vídeo)) -- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) (Assintóticas (vídeo)) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) (Big-O - Universidade da Califórnia em Berkeley (vídeo)) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) (Grande Omega - Universidade da Califórnia em Berkeley (vídeo)) -- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Análise Amortizada (vídeo)) -- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) (Ilustrando "Big-O" (vídeo)) +- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) (Ordens de Crescimento - vídeo) +- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) (Assintóticas - vídeo) +- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) (Big-O - Universidade da Califórnia em Berkeley - vídeo) +- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) (Grande Omega - Universidade da Califórnia em Berkeley - vídeo) +- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) (Análise Amortizada - vídeo) +- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) (Ilustrando "Big-O" - vídeo) - [ ] TopCoder (inclui relações de recorrência e teorema mestre): - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) (Complexidade Computacional: Seção 1) - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) (Complexidade Computacional: Seção 2) @@ -489,12 +489,12 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - Implementar um vetor de redimensionamento automático. - [ ] Descrição: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) (Arrays lineares e multidimensionais (vídeo)) - - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) (Arrays básicos (vídeo)) - - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) (Multidimensionais(vídeo)) - - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) (Arrays Dinâmicos (vídeo)) - - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) (Arrays Multidimensionais (vídeo)) - - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) (Arrays Multidimensionais (vídeo)) + - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) (Arrays lineares e multidimensionais - vídeo) + - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) (Arrays básicos - vídeo) + - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) (Multidimensionais - vídeo) + - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) (Arrays Dinâmicos - vídeo) + - [Jagged Arrays (video)](https://www.youtube.com/watch?v=1jtrQqYpt7g) (Arrays Multidimensionais - vídeo) + - [Jagged Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Jagged-arrays/149042/177106-4.html) (Arrays Multidimensionais - vídeo) - [Resizing arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Resizable-arrays/149042/177108-4.html) (Arrays Dinâmicos) - [ ] Implementar um vetor (array mutável com redimensionamento automático): - [ ] Praticar programação usando arrays e ponteiros, e matemática de ponteiros para pular para um índice ao invés de usar indexação. @@ -524,14 +524,14 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Listas Ligadas - [ ] Descrição: - - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) (listas ligadas individualmente (vídeo)) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) (CS 61B - Listas Ligadas (vídeo)) - - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C (vídeo)) + - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) (listas ligadas individualmente - vídeo) + - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) (CS 61B - Listas Ligadas - vídeo) + - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C - vídeo) - não o vídeo inteiro, apenas as partes sobre estrutura de nodes (nós) e alocação de memória. - [ ] Listas Ligadas vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamental: Listas Ligadas vs Arrays (vídeo)) - - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) (No Mundo Real: Listas Ligadas vs Arrays (vídeo)) - - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) (por que você deve evitar listas ligadas (vídeo)) + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamental: Listas Ligadas vs Arrays - vídeo) + - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) (No Mundo Real: Listas Ligadas vs Arrays - vídeo) + - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) (por que você deve evitar listas ligadas - vídeo) - [ ] Peguei vocês: você precisa de conhecimento de ponteiro para ponteiro: (para quando você passar um ponteiro para uma funcção que poderá mudar o endereço para o qual o ponteiro aponta) Essa página é só para ter uma noção sobre ponteiro para ponteiro. Eu não recomendo o estilo transversal dessa lista. Legibilidade e manutenção sofrem devido à engenhosidade. @@ -552,19 +552,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] reverse() - reverte a lista - [ ] remove_value(valor) - remove o primeiro item na lista com esse valor - [ ] Listas Ligadas Duplamente - - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) (Descrição (vídeo)) + - [Description (video)](https://www.coursera.org/learn/data-structures/lecture/jpGKD/doubly-linked-lists) (Descrição - vídeo) - Não há necessidade de implementar - ### Stack - [ ] [Stacks (video)](https://www.coursera.org/learn/data-structures/lecture/UdKzQ/stacks) - - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) (Usando Stacks Último a Entrar Primeiro a Sair (vídeo)) + - [ ] [Using Stacks Last-In First-Out (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-stacks-last-first-out/149042/177120-4.html) (Usando Stacks Último a Entrar Primeiro a Sair - vídeo) - [ ] Não implementarei. Implementar com array é trivial. - ### Queue (Fila) - - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) (Usando queues FIFO(Primeiro a entrar, último a sair) (vídeo)) + - [ ] [Using Queues First-In First-Out(video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-queues-first-first-out/149042/177122-4.html) (Usando queues FIFO(Primeiro a entrar, último a sair) - vídeo) - [ ] [Queue (video)](https://www.coursera.org/learn/data-structures/lecture/EShpq/queue) - [ ] [Circular buffer/FIFO](https://en.wikipedia.org/wiki/Circular_buffer) (Buffer circular/Primeiro a entrar, último a sair) - - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) (Queues com Prioridade (vídeo)) + - [ ] [Priority Queues (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Priority-queues-deques/149042/177123-4.html) (Queues com Prioridade - vídeo) - [ ] Implementar usando lista ligada, com ponteiro de cauda (aponta para o último elemento de uma lista): - enqueue(valor) - adiciona "valor" na posição na cauda (final da lista) - dequeue() - retorna um valor e remove o elemento menos recentemente adicionado (início da lista)) @@ -583,24 +583,24 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Tabela hash (no português: Tabela de dispersão) - [ ] vídeos: - - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) (Hashing com Encadeamento (vídeo)) - - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Duplicação de Tabela, Karp-Rabin (vídeo)) - - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Endereçamento Aberto, Hashing Criptográfico (vídeo)) + - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) (Hashing com Encadeamento - vídeo) + - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Duplicação de Tabela, Karp-Rabin - vídeo) + - [ ] [Open Addressing, Cryptographic Hashing (video)](https://www.youtube.com/watch?v=rvdJDijO2Ro&index=10&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Endereçamento Aberto, Hashing Criptográfico - vídeo) - [ ] [PyCon 2010: The Mighty Dictionary (video)](https://www.youtube.com/watch?v=C4Kc8xzcA68) (PyCon 2010: O Poderoso Dicionário (vídeo) - - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) ((Avançado) Randomização: Hashing Perfeito & Universal (vídeo)) - - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) ((Avançado) Hashing perfeito (vídeo)) + - [ ] [(Advanced) Randomization: Universal & Perfect Hashing (video)](https://www.youtube.com/watch?v=z0lJ2k0sl1g&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=11) ((Avançado) Randomização: Hashing Perfeito & Universal - vídeo) + - [ ] [(Advanced) Perfect hashing (video)](https://www.youtube.com/watch?v=N0COwN14gt0&list=PL2B4EEwhKD-NbwZ4ezj7gyc_3yNrojKM9&index=4) ((Avançado) Hashing perfeito - vídeo) - [ ] Cursos Online: - - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) (Compreendendo Funções Hash (vídeo)) - - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) (Usando Tabelas Hash (vídeo)) - - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) (Hashing de Suporte (vídeo)) - - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) (Tabelas Hash de Suporte de Linguagem (vídeo)) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) (Fundamental: Tabelas Hash (vídeo)) - - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) (Estruturas de Dados (vídeo)) + - [ ] [Understanding Hash Functions (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Understanding-hash-functions/149042/177126-4.html) (Compreendendo Funções Hash - vídeo) + - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) (Usando Tabelas Hash - vídeo) + - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) (Hashing de Suporte - vídeo) + - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) (Tabelas Hash de Suporte de Linguagem - vídeo) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) (Fundamental: Tabelas Hash - vídeo) + - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) (Estruturas de Dados - vídeo) - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) (Problema da Lista Telefônica (vídeo) ) - [ ] tabelas hash distribuídas: - - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) (Uploads Instantâneos E Otimização de Armazenamento no Dropbox (vídeo)) - - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) (Tabelas Hash Distribuídas (vídeo)) + - [Instant Uploads And Storage Optimization In Dropbox (video)](https://www.coursera.org/learn/data-structures/lecture/DvaIb/instant-uploads-and-storage-optimization-in-dropbox) (Uploads Instantâneos E Otimização de Armazenamento no Dropbox - vídeo) + - [Distributed Hash Tables (video)](https://www.coursera.org/learn/data-structures/lecture/tvH8H/distributed-hash-tables) (Tabelas Hash Distribuídas - vídeo) - [ ] implementar com array usando sondagem linear - hash(k, m) - m é o tamanho da tabela hash @@ -612,8 +612,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Mais Conhecimento - ### Busca binária - - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) (Busca Binária (vídeo)) - - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) (Busca Binária (vídeo)) + - [ ] [Binary Search (video)](https://www.youtube.com/watch?v=D5SrAga1pno) (Busca Binária - vídeo) + - [ ] [Binary Search (video)](https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search) (Busca Binária - vídeo) - [ ] [detail](https://www.topcoder.com/community/data-science/data-science-tutorials/binary-search/) (detalhes) - [ ] Implementar: - busca binária (em um array ordenado de números inteiros) @@ -624,19 +624,19 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] Consiga um bom entendimento sobre manipulação de bits com: &, |, ^, ~, >>, << - [ ] [words](https://en.wikipedia.org/wiki/Word_(computer_architecture)) (palavras) - [ ] Boa introdução: - [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) (Manipulação de Bit (vídeo)) - - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) (Tutorial de Programação em C 2-10: Operadores Binários (vídeo)) + [Bit Manipulation (video)](https://www.youtube.com/watch?v=7jkIUgLC29I) (Manipulação de Bit - vídeo) + - [ ] [C Programming Tutorial 2-10: Bitwise Operators (video)](https://www.youtube.com/watch?v=d0AwjSpNXR0) (Tutorial de Programação em C 2-10: Operadores Binários - vídeo) - [ ] [Bit Manipulation](https://en.wikipedia.org/wiki/Bit_manipulation) (Manipulação de Bit) - [ ] [Bitwise Operation](https://en.wikipedia.org/wiki/Bitwise_operation) (Lógica Binária) - [ ] [Bithacks](https://graphics.stanford.edu/~seander/bithacks.html) (Snippets/Fragmentos de código, um tipo de cheatsheet (folha de consultas)) - [ ] [The Bit Twiddler](http://bits.stephan-brumme.com/) - [ ] [The Bit Twiddler Interactive](http://bits.stephan-brumme.com/interactive.html) (Interativo) - [ ] Complemento de 2 e 1 - - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) (Binário: Vantagens & Desvantagens (Por Que Usamos Complemento de 2) (vídeo)) + - [Binary: Plusses & Minuses (Why We Use Two's Complement) (video)](https://www.youtube.com/watch?v=lKTsv6iVxV4) (Binário: Vantagens & Desvantagens (Por Que Usamos Complemento de 2) - vídeo) - [1s Complement](https://en.wikipedia.org/wiki/Ones%27_complement) (Complemento de 1) - [2s Complement](https://en.wikipedia.org/wiki/Two%27s_complement) (Complemento de 2) - [ ] contagem de bits fixos - - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) (4 maneiras de contar bits em um byte (vídeo)) + - [4 ways to count bits in a byte (video)](https://youtu.be/Hzuzo9NJrlc) (4 maneiras de contar bits em um byte - vídeo) - [Count Bits](https://graphics.stanford.edu/~seander/bithacks.html#CountBitsSetKernighan) (Contagem de Bits) - [How To Count The Number Of Set Bits In a 32 Bit Integer](http://stackoverflow.com/questions/109023/how-to-count-the-number-of-set-bits-in-a-32-bit-integer) (Como Contar O Número De Bits Fixos Em um Número inteiro de 32 bits) - [ ] arredondar para a próxima potência de 2: @@ -649,8 +649,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Árvores - ### Árvores - Anotações e Fundamentos - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) (Série: Árvores Fundamentais (vídeo)) - - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) (Série: Árvores (vídeo)) + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) (Série: Árvores Fundamentais - vídeo) + - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) (Série: Árvores - vídeo) - contrução básica de árvore - transversal - algorítmos de manipulação @@ -671,22 +671,22 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - pré-ordem (na busca em profundidade (ou DFS): visita a raiz, percorre subárvore esquerda em pré-ordem, percorre subárvore direita em pré-ordem) - ### Árvores binárias de busca: ABB - - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Revisão de Árvores Binárias de Busca (vídeo)) + - [ ] [Binary Search Tree Review (video)](https://www.youtube.com/watch?v=x6At0nzX92o&index=1&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Revisão de Árvores Binárias de Busca - vídeo) - [ ] [Série (vídeo)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/p82sw/core-introduction-to-binary-search-trees) - começa com tabela de símbolos e passa por aplicações de ABB - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) (Introdução (vídeo)) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/E7cXP/introduction) (Introdução - vídeo) - [ ] [MIT (vídeo)](https://www.youtube.com/watch?v=9Jry5-82I68) - C/C++: - - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) (Árvore binária de busca - Implementação em C/C++ (vídeo)) - - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) (Implementação de ABB - alocação de memória estática (stack) e dinâmica (heap) (vídeo)) - - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Encontrar elementos min e max em uma árvore binária de busca (vídeo)) - - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) (Encontrar altura de uma árvore binária (vídeo)) - - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) (Percurso de uma árvore binária - estratégias de busca em largura e busca em profundidade (vídeo)) - - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Árvore binária: Percurso de Ordens de Níveis (vídeo)) - - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Percurso de árvore binária: Pré-ordem, Em-ordem (ordem simétrica), Pós-ordem (vídeo)) - - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Verificar se uma árvore binária é uma árvore binária de busca ou não (vídeo)) - - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) (Deletar um nó de uma Árvore Binária de Busca (vídeo)) - - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Sucessor Em-ordem em uma árvore binária de busca (vídeo)) + - [ ] [Binary search tree - Implementation in C/C++ (video)](https://www.youtube.com/watch?v=COZK7NATh4k&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=28) (Árvore binária de busca - Implementação em C/C++ - vídeo) + - [ ] [BST implementation - memory allocation in stack and heap (video)](https://www.youtube.com/watch?v=hWokyBoo0aI&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=29) (Implementação de ABB - alocação de memória estática (stack) e dinâmica (heap) - vídeo) + - [ ] [Find min and max element in a binary search tree (video)](https://www.youtube.com/watch?v=Ut90klNN264&index=30&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Encontrar elementos min e max em uma árvore binária de busca - vídeo) + - [ ] [Find height of a binary tree (video)](https://www.youtube.com/watch?v=_pnqMz5nrRs&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=31) (Encontrar altura de uma árvore binária - vídeo) + - [ ] [Binary tree traversal - breadth-first and depth-first strategies (video)](https://www.youtube.com/watch?v=9RHO6jU--GU&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=32) (Percurso de uma árvore binária - estratégias de busca em largura e busca em profundidade - vídeo) + - [ ] [Binary tree: Level Order Traversal (video)](https://www.youtube.com/watch?v=86g8jAQug04&index=33&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Árvore binária: Percurso de Ordens de Níveis - vídeo) + - [ ] [Binary tree traversal: Preorder, Inorder, Postorder (video)](https://www.youtube.com/watch?v=gm8DUJJhmY4&index=34&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Percurso de árvore binária: Pré-ordem, Em-ordem (ordem simétrica), Pós-ordem - vídeo) + - [ ] [Check if a binary tree is binary search tree or not (video)](https://www.youtube.com/watch?v=yEwSGhSsT0U&index=35&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Verificar se uma árvore binária é uma árvore binária de busca ou não - vídeo) + - [ ] [Delete a node from Binary Search Tree (video)](https://www.youtube.com/watch?v=gcULXE7ViZw&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=36) (Deletar um nó de uma Árvore Binária de Busca - vídeo) + - [ ] [Inorder Successor in a binary search tree (video)](https://www.youtube.com/watch?v=5cPbNCrdotA&index=37&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P) (Sucessor Em-ordem em uma árvore binária de busca - vídeo) - [ ] Implementar: - [ ] insert // insere um valor na árvore - [ ] get_node_count // obtém contagem de valores armazenados @@ -703,18 +703,18 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Memória Dinâmica (heap) / Filas Prioritárias / Memória Dinâmica Binária (heap binary) - visualizada como uma árvore, mas geralmente é linear no armazenamento (array, lista ligada) - [ ] [Heap](https://en.wikipedia.org/wiki/Heap_(data_structure)) (Memória DInâmica) - - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) (Introdução (vídeo)) - - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) (Implementações Ingênuas (vídeo)) - - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) (Árvores Binárias (vídeo)) - - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) (Observações sobre Altura de Árvore (vídeo)) - - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) (Operações Básicas (vídeo)) - - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) (Árvores Binárias Completas (vídeo)) - - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) (Pseudocódigo (vídeo)) - - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) (Algoritmo de Ordenação heapsort - pula para o começo (vídeo)) - - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) (Algoritmo de Ordenação heapsort (vídeo)) - - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) (Construindo uma memória dinâmica (heap) (vídeo)) - - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (MIT: Memórias Dinâmias e heapsort (vídeo)) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) (CS (Ciência da Computação) 61B Aula 24: Filas Prioritárias (vídeo)) + - [ ] [Introduction (video)](https://www.coursera.org/learn/data-structures/lecture/2OpTs/introduction) (Introdução - vídeo) + - [ ] [Naive Implementations (video)](https://www.coursera.org/learn/data-structures/lecture/z3l9N/naive-implementations) (Implementações Ingênuas - vídeo) + - [ ] [Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/GRV2q/binary-trees) (Árvores Binárias - vídeo) + - [ ] [Tree Height Remark (video)](https://www.coursera.org/learn/data-structures/supplement/S5xxz/tree-height-remark) (Observações sobre Altura de Árvore - vídeo) + - [ ] [Basic Operations (video)](https://www.coursera.org/learn/data-structures/lecture/0g1dl/basic-operations) (Operações Básicas - vídeo) + - [ ] [Complete Binary Trees (video)](https://www.coursera.org/learn/data-structures/lecture/gl5Ni/complete-binary-trees) (Árvores Binárias Completas - vídeo) + - [ ] [Pseudocode (video)](https://www.coursera.org/learn/data-structures/lecture/HxQo9/pseudocode) (Pseudocódigo - vídeo) + - [ ] [Heap Sort - jumps to start (video)](https://youtu.be/odNJmw5TOEE?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3291) (Algoritmo de Ordenação heapsort - pula para o começo - vídeo) + - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) (Algoritmo de Ordenação heapsort - vídeo) + - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) (Construindo uma memória dinâmica (heap) - vídeo) + - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (MIT: Memórias Dinâmias e heapsort - vídeo) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) (CS (Ciência da Computação) 61B Aula 24: Filas Prioritárias - vídeo) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) (BuildHeap em Tempo Linear (heap máxima)) - [ ] Implementar uma heap máxima (max-heap): - [ ] insert From bed8bbe9148f67016b42ddbd0ae6692cdab58b6f Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 01:45:28 -0300 Subject: [PATCH 173/236] update index --- translations/README-ptbr.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 43519fc188..26bd467475 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -54,11 +54,11 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Binary search](#binary-search) - [Bitwise operations](#bitwise-operations) - [Árvores](#árvores) - - [Trees - Notes & Background](#trees---notes--background) - - [Binary search trees: BSTs](#binary-search-trees-bsts) - - [Heap / Priority Queue / Binary Heap](#heap--priority-queue--binary-heap) - - balanced search trees (general concept, not details) - - traversals: preorder, inorder, postorder, BFS, DFS + - [Árvores - Anotações e Fundamentos](#árvores---anotações-e-fundamentos) + - [Árvores binárias de busca: ABB](#árvores-binárias-de-busca-abb) + - [Memória Dinâmica (heap) / Filas Prioritárias / Memória Dinâmica Binária (heap binary)](#memória-dinâmica-heap--filas-prioritárias--memória-dinâmica-binária-heap-binary) + - árvores de busca balanceadas (conceito geral, não detalhes) + - transversais: pré-ordem, em-ordem (ordem simétrica), pós-ordem, busca em largura, busca em profundidade - [Sorting](#sorting) - selection - insertion From 92ad2335ce6d76b4182baa1270e885408839374a Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 01:47:49 -0300 Subject: [PATCH 174/236] update index --- translations/README-ptbr.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 26bd467475..76c3ccc67c 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -53,9 +53,9 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Mais Conhecimento](#mais-conhecimento) - [Binary search](#binary-search) - [Bitwise operations](#bitwise-operations) -- [Árvores](#árvores) - - [Árvores - Anotações e Fundamentos](#árvores---anotações-e-fundamentos) - - [Árvores binárias de busca: ABB](#árvores-binárias-de-busca-abb) +- [Árvores](#Árvores) + - [Árvores - Anotações e Fundamentos](#Árvores---anotações-e-fundamentos) + - [Árvores binárias de busca: ABB](#Árvores-binárias-de-busca-abb) - [Memória Dinâmica (heap) / Filas Prioritárias / Memória Dinâmica Binária (heap binary)](#memória-dinâmica-heap--filas-prioritárias--memória-dinâmica-binária-heap-binary) - árvores de busca balanceadas (conceito geral, não detalhes) - transversais: pré-ordem, em-ordem (ordem simétrica), pós-ordem, busca em largura, busca em profundidade From dce381e57ab5064213daacc9f2e9db8434b4a446 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 01:55:04 -0300 Subject: [PATCH 175/236] translated original author's quote at the beginning of document --- translations/README-ptbr.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 76c3ccc67c..5376db29a9 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1,14 +1,14 @@ # Universidade de Entrevista de Programação -> I originally created this as a short to-do list of study topics for becoming a software engineer, -> but it grew to the large list you see today. After going through this study plan, [I got hired -> as a Software Development Engineer at Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! -> You probably won't have to study as much as I did. Anyway, everything you need is here. +> Originalmente eu criei isso como uma pequena lista to-do de tópicos de estudo para se tornar um engenheiro de software, +> mas isso cresceu para a grande lista que você vê hoje. Após passar por esse plano de estudo, [Eu fui contratado +> como Engenheiro de Desenvolvimento de Software na Amazon](https://startupnextdoor.com/ive-been-acquired-by-amazon/?src=ciu)! +> Você provavelmente não vai precisar estudar tanto quanto eu. De qualquer maneira, tudo que você precisa está aqui. > -> The items listed here will prepare you well for in an interview at just about any software company, -> including the giants: Amazon, Facebook, Google or Microsoft. +> Os itens listados aqui irão preparar você muito bem para uma entrevista em praticamente qualquer empresa de software, +> incluindo as gigantes: Amazon, Facebook, Google ou Microsoft. > -> *Best of luck to you!* +> *Boa sorte para todos vocês!* Original: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) From 9efdab1481606f097775878eb1214544d53869a5 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 5 Jun 2017 02:58:58 -0300 Subject: [PATCH 176/236] updated file according to original readme.md file --- translations/README-ptbr.md | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 5376db29a9..0c2f49e961 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -255,7 +255,9 @@ Essa é uma lista menor comparada à que eu usei. Está abreviado para economiza Se você tem muito tempo sobrando: - [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) (Elementos de Entrevistas de Programação (Versão C++)) -- [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) (Elementos de Entrevistas de Programação (Versão Java)) +- [ ] Elementos de Entrevistas de Programação (Versão Java) + - [livro](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) + - [Projecto de Companheiro - Esboço de Método e Testes para Cada Problema no Livro](https://github.com/gardncl/elements-of-programming-interviews) ### Arquitetura de Computador @@ -525,7 +527,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Listas Ligadas - [ ] Descrição: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) (listas ligadas individualmente - vídeo) - - [ ] [CS 61B - Linked Lists (video)](https://www.youtube.com/watch?v=sJtJOtXCW_M&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=5) (CS 61B - Listas Ligadas - vídeo) + - [ ] [CS 61B - Linked Lists 1 (video)](https://www.youtube.com/watch?v=htzJdKoEmO0&list=PL4BBB74C7D2A1049C&index=7) (CS 61B - Listas Ligadas 1 - vídeo) + - [ ] [CS 61B - Linked Lists 2 (video)](https://www.youtube.com/watch?v=-c4I3gFYe3w&index=8&list=PL4BBB74C7D2A1049C) (CS 61B - Listas Ligadas 2 - vídeo) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C - vídeo) - não o vídeo inteiro, apenas as partes sobre estrutura de nodes (nós) e alocação de memória. - [ ] Listas Ligadas vs Arrays: @@ -1042,7 +1045,7 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) - The Dynamo paper kicked off the NoSQL revolution - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf) + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) @@ -1167,7 +1170,8 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - simplicity and robustness - tradeoffs - performance analysis and optimization -- [ ] **START HERE**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) +- [ ] **START HERE**: [The System Design Primer]https://github.com/donnemartin/system-design-primer) +- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) - [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) - [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) @@ -1242,7 +1246,8 @@ Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - For even more, see "Mining Massive Datasets" video series in the Video Series section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [System Design from HiredInTech](http://www.hiredintech.com/system-design/) + - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) + - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - flow: 1. Understand the problem and scope: @@ -1370,6 +1375,7 @@ Challenge sites: - [TopCoder](https://www.topcoder.com/) - [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) - [Codewars](http://www.codewars.com) +- [HackerEarth](https://www.hackerearth.com/) - [HackerRank](https://www.hackerrank.com/) - [Codility](https://codility.com/programmers/) - [InterviewCake](https://www.interviewcake.com/) @@ -1377,6 +1383,9 @@ Challenge sites: - [InterviewBit](https://www.interviewbit.com/invite/icjf) - [Sphere Online Judge (spoj)](http://www.spoj.com/) +Challenge repos: +- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) + Mock Interviews: - [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - [Pramp: Mock interviews from/with peers](https://www.pramp.com/) @@ -1387,7 +1396,6 @@ Mock Interviews: - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) ## Your Resume From 48706a3ad3b85670728b171e38faacc75cfb555b Mon Sep 17 00:00:00 2001 From: Sinan Bolel Date: Mon, 5 Jun 2017 05:26:55 -0500 Subject: [PATCH 177/236] fix(gitignore): comments --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index ab7de4e931..4023448dcd 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,6 @@ .idea personal-9894.md -// Targets Windows & Unix temporary files +# Targets Windows & Unix temporary files ~$* *~ From e4c7dd5aeabea9e6a5fb1314c617a0c4584d154c Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 6 Jun 2017 12:19:03 -0300 Subject: [PATCH 178/236] updated translation, closes #12 --- translations/README-ptbr.md | 142 ++++++++++++++++++------------------ 1 file changed, 71 insertions(+), 71 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 0c2f49e961..b012b80a4e 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -59,12 +59,12 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Memória Dinâmica (heap) / Filas Prioritárias / Memória Dinâmica Binária (heap binary)](#memória-dinâmica-heap--filas-prioritárias--memória-dinâmica-binária-heap-binary) - árvores de busca balanceadas (conceito geral, não detalhes) - transversais: pré-ordem, em-ordem (ordem simétrica), pós-ordem, busca em largura, busca em profundidade -- [Sorting](#sorting) - - selection - - insertion +- [Ordenação](#ordenação) + - seleção + - inserção - heapsort - quicksort - - merge sort + - ordenação por mistura (merge sort) - [Graphs](#graphs) - directed - undirected @@ -142,7 +142,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Geometry, Convex hull](#geometry-convex-hull) - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) -- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) +- [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) - [Video Series](#video-series) - [Computer Science Courses](#computer-science-courses) @@ -732,80 +732,80 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] heap_sort() - pega um array não-ordenado e o transforma em um array ordenado "in-place" (sem gerar um novo array) usando uma heap máxima (max-heap) - nota: usando uma heap mínima (min-heap) ao invés de uma heap máxima (max-heap) poderia salvar operações, mas duplicar o espaço necessário (não é possível fazer "in-place") -## Sorting +## Ordenação -- [ ] Notes: - - Implement sorts & know best case/worst case, average complexity of each: - - no bubble sort - it's terrible - O(n^2), except when n <= 16 - - [ ] stability in sorting algorithms ("Is Quicksort stable?") - - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) - - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) - - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) - - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) - - [ ] Which algorithms can be used on linked lists? Which on arrays? Which on both? - - I wouldn't recommend sorting a linked list, but merge sort is doable. - - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) +- [ ] Anotações: + - Implementar ordenações e saber melhor/pior cenário, complexidade média de cada um: + - sem ordenação por bolha - é terrível - O(n^2), exceto quando n <= 16 + - [ ] estabilidade em algoritmos de ordenação ("O algoritmo de ordenação quicksort é estável?") + - [Sorting Algorithm Stability](https://en.wikipedia.org/wiki/Sorting_algorithm#Stability) (Artigo da Wikipédia em Inglês sobre Estabilidade de Algoritmo de Ordenação, infelizmente a versão em Português não é tão informativa) + - [Stability In Sorting Algorithms](http://stackoverflow.com/questions/1517793/stability-in-sorting-algorithms) (Estabilidade em Algoritmos de Ordenação) + - [Stability In Sorting Algorithms](http://www.geeksforgeeks.org/stability-in-sorting-algorithms/) (Estabilidade em Algoritmos de Ordenação) + - [Sorting Algorithms - Stability](http://homepages.math.uic.edu/~leon/cs-mcs401-s08/handouts/stability.pdf) (Algoritmos de Ordenação - Estabilidade) + - [ ] Quais algoritmos podem ser usados em listas ligadas? Quais em arrays? Quais em ambos? + - Eu não recomendaria ordenar uma lista ligada, mas ordenação por mistura (merge sort) é possível de se fazer. + - [Merge Sort For Linked List](http://www.geeksforgeeks.org/merge-sort-for-linked-list/) (Merge Sort Para Listas Ligadas) -- For heapsort, see Heap data structure above. Heap sort is great, but not stable. +- Para heapsort, veja estrutura de dados heap acima. Heapsort é ótimo, mas não é estável. -- [ ] [Sedgewick - Mergesort (5 videos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) +- [ ] [Sedgewick - Mergesort (5 vídeos)](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [1. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=1) - - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) - - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) + - [ ] [2. Bottom up Mergesort](https://www.youtube.com/watch?v=HGOIGUYjeyk&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9&index=2) (Mergesort de baixo para cima) + - [ ] [3. Sorting Complexity](https://www.youtube.com/watch?v=WvU_mIWo0Ac&index=3&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) (Complexidade de Ordenação) + - [ ] [4. Comparators](https://www.youtube.com/watch?v=7MvC1kmBza0&index=4&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) (Comparadores) + - [ ] [5. Stability](https://www.youtube.com/watch?v=XD_5iINB5GI&index=5&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) (Estabilidade) -- [ ] [Sedgewick - Quicksort (4 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) +- [ ] [Sedgewick - Quicksort (4 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [1. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&index=1&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - -- [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) - -- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) -- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) -- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) -- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) -- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) -- [ ] [Quicksort (video)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) -- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) - -- [ ] Merge sort code: - - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) - - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) + - [ ] [2. Selection](https://www.youtube.com/watch?v=CgVYfSyct_M&index=2&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) (Seleção) + - [ ] [3. Duplicate Keys](https://www.youtube.com/watch?v=WBFzOYJ5ybM&index=3&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) (Chaves Duplicadas) + - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) (Ordenações de Sistema) + +- [ ] Universidade da Califórnia em Berkeley: + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) (Ciência da Computação 61B Aula 29: Ordenação I - vídeo) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) (Ciência da Computação 61B Aula 30: Ordenação II - vídeo) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) (Ciência da Computação 61B Aula 32: Ordenação III - vídeo) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) (Ciência da Computação 61B Aula 33: Ordenação V - vídeo) + +- [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) (Ordenação por Bolha - vídeo) +- [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) (Analisando Ordenação por Bolha - vídeo) +- [ ] [Insertion Sort, Merge Sort (video)](https://www.youtube.com/watch?v=Kg4bqzAqRBM&index=3&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Ordenação por Inserção, Ordenação por Mistura - vídeo) +- [ ] [Insertion Sort (video)](https://www.youtube.com/watch?v=c4BRHC7kTaQ&index=2&list=PL89B61F78B552C1AB) (Ordenação por Inserção - vídeo) +- [ ] [Merge Sort (video)](https://www.youtube.com/watch?v=GCae1WNvnZM&index=3&list=PL89B61F78B552C1AB) (Ordenação por Mistura - vídeo) +- [ ] [Quicksort (vídeo)](https://www.youtube.com/watch?v=y_G9BkAm6B8&index=4&list=PL89B61F78B552C1AB) +- [ ] [Selection Sort (video)](https://www.youtube.com/watch?v=6nDMgr0-Yyo&index=8&list=PL89B61F78B552C1AB) (Ordenação por Seleção - vídeo) + +- [ ] Código de ordenação por mistura: + - [ ] [Using output array (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/sorting/mergesort.c) (Usando array de saída (C)) + - [ ] [Using output array (Python)](https://github.com/jwasham/practice-python/blob/master/merge_sort/merge_sort.py) (Usando array de saída (Python)) - [ ] [In-place (C++)](https://github.com/jwasham/practice-cpp/blob/master/merge_sort/merge_sort.cc) -- [ ] Quick sort code: - - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) - - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) - - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) +- [ ] Código de algoritmo de ordenação quicksort: + - [ ] [Implementation (C)](http://www.cs.yale.edu/homes/aspnes/classes/223/examples/randomization/quick.c) (Implementação em C) + - [ ] [Implementation (C)](https://github.com/jwasham/practice-c/blob/master/quick_sort/quick_sort.c) (Implementação em C) + - [ ] [Implementation (Python)](https://github.com/jwasham/practice-python/blob/master/quick_sort/quick_sort.py) (Implementação em Python) - [ ] Implementar: - - [ ] Mergesort: O(n log n) average and worst case - - [ ] Quicksort O(n log n) average case - - Selection sort and insertion sort are both O(n^2) average and worst case - - For heapsort, see Heap data structure above. - -- [ ] Not required, but I recommended them: - - [ ] [Sedgewick - Radix Sorts (6 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [1. Strings in Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) - - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) - - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) - - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) - - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) - - [ ] [Radix Sort (video)](https://www.youtube.com/watch?v=xhr26ia4k38) - - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) - -As a summary, here is a visual representation of [15 sorting algorithms](https://www.youtube.com/watch?v=kPRA0W1kECg). -If you need more detail on this subject, see "Sorting" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) + - [ ] Mergesort: O(n log n) caso comum e pior caso + - [ ] Quicksort O(n log n) caso comum + - Ordenação por seleção e inserção são ambos O(n^2) caso comum e pior caso + - Para heapsort, veja estrutura de dados heap acima. + +- [ ] Não é requisitado, mas eu recomendo esses: + - [ ] [Sedgewick - Radix Sorts (6 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) + - [ ] [1. Strings em Java](https://www.youtube.com/watch?v=zRzU-FWsjNU&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=6) + - [ ] [2. Key Indexed Counting](https://www.youtube.com/watch?v=CtgKYmXs62w&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=5) (Contagem Indexada por Chaves) + - [ ] [3. Least Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=2pGVq_BwPKs&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=4) (Radix sort de string de Dígito-Menos-Significativo-Primeiro) + - [ ] [4. Most Significant Digit First String Radix Sort](https://www.youtube.com/watch?v=M3cYNY90R6c&index=3&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) (Radix sort de string de Dígito-Mais-Significativo-Primeiro) + - [ ] [5. 3 Way Radix Quicksort](https://www.youtube.com/watch?v=YVl58kfE6i8&index=2&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) (Quicksort Radix de 3 vias) + - [ ] [6. Suffix Arrays](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53&index=1) (Arrays de Sufixos) + - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) (Radix Sort) + - [ ] [Radix Sort (vídeo)](https://www.youtube.com/watch?v=xhr26ia4k38) + - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Radix Sort, Ordenação por Contagem (tempo linear dadas restrições)) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Aleatorização: Multiplicação de Matriz, Quicksort, Algoritmo de Freivalds - vídeo) + - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) (Ordenando em Tempo Linear - vídeo) + +Como um resumo, aqui está uma representação visual de [15 algoritmos de ordenação](https://www.youtube.com/watch?v=kPRA0W1kECg). +Se você precisa de mais detalhes sobre o assunto, veja a seção "Ordenação" em [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) ## Graphs @@ -1802,7 +1802,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo -- -## Additional Detail on Some Subjects +## Detalhes Adicionais Sobre Alguns Assuntos I added these to reinforce some ideas already presented above, but didn't want to include them above because it's just too much. It's easy to overdo it on a subject. From d8e8798ba35019dc8617cc38f3972ca5e934e12c Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Wed, 7 Jun 2017 02:47:30 -0300 Subject: [PATCH 179/236] updated translation, closes #13 --- translations/README-ptbr.md | 124 ++++++++++++++++++------------------ 1 file changed, 62 insertions(+), 62 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b012b80a4e..e048e0e6a0 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -65,11 +65,11 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - heapsort - quicksort - ordenação por mistura (merge sort) -- [Graphs](#graphs) +- [Grafos](#grafos) - directed - undirected - - adjacency matrix - - adjacency list + - matriz de adjacência + - lista de adjacência - traversals: BFS, DFS - [Even More Knowledge](#even-more-knowledge) - [Recursion](#recursion) @@ -150,7 +150,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est ## Por que usar? -Quando eu comecei esse projeto, eu não sabia diferenciar memória dinâmica de memória estática, não sabia notação Big-O, árvores, ou como percorrer um gráfico. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. +Quando eu comecei esse projeto, eu não sabia diferenciar memória dinâmica de memória estática, não sabia notação Big-O, árvores, ou como percorrer um grafo. Se eu tivesse que escrever um algoritmo de ordenação, eu posso te dizer que ele não seria muito bom. Todas as estruturas de dados que eu já usei eram construídas dentro da linguagem, e eu não sabia como elas funcionavam por debaixo dos panos. Eu nunca tive que gerenciar memória a não ser que um processo que eu estava rodando desse um erro de "memória insuficiente", nesse caso eu teria que dar um jeito. Eu já usei alguns arrays multidimensionais na minha vida e milhares de arrays associativos, mas eu nunca criei estruturas de dados do zero. É um longo plano. Você vai levar meses. Se você já é familiarizado com muitas dessas coisas, você vai precisar de muito menos tempo. @@ -296,7 +296,7 @@ Se você ler um desses, você deverá ter todo conhecimento de estrutura de dado Eu ainda não li esses dois, mas eles são muito bem avaliados e escritos por Sedgewick. Ele é ótimo. - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) (Algoritmos em C++, Partes 1-4: Fundamentos, Estrutura de Dados, Ordenação, Busca). -- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) (Algoritmos em C++ Parte 5: Algoritmos de Gráfico) +- [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) (Algoritmos em C++ Parte 5: Algoritmos de Grafo) Se você tiver uma recomendação melhor para C++, por favor me informe. Busco por recursos completos. @@ -807,63 +807,63 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input Como um resumo, aqui está uma representação visual de [15 algoritmos de ordenação](https://www.youtube.com/watch?v=kPRA0W1kECg). Se você precisa de mais detalhes sobre o assunto, veja a seção "Ordenação" em [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) -## Graphs - -Graphs can be used to represent many problems in computer science, so this section is long, like trees and sorting were. - -- Notes: - - There are 4 basic ways to represent a graph in memory: - - objects and pointers - - adjacency matrix - - adjacency list - - adjacency map - - Familiarize yourself with each representation and its pros & cons - - BFS and DFS - know their computational complexity, their tradeoffs, and how to implement them in real code - - When asked a question, look for a graph-based solution first, then move on if none. - -- [ ] Skiena Lectures - great intro: - - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) - - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) - - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) - - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - -- [ ] Graphs (review and more): - - - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Dijkstra (video)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.006 Bellman-Ford (video)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) - - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)]( https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) - - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) - -- Full Coursera Course: - - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) - -- I'll implement: - - [ ] DFS with adjacency list (recursive) - - [ ] DFS with adjacency list (iterative with stack) - - [ ] DFS with adjacency matrix (recursive) - - [ ] DFS with adjacency matrix (iterative with stack) - - [ ] BFS with adjacency list - - [ ] BFS with adjacency matrix - - [ ] single-source shortest path (Dijkstra) - - [ ] minimum spanning tree - - DFS-based algorithms (see Aduni videos above): - - [ ] check for cycle (needed for topological sort, since we'll check for cycle before starting) - - [ ] topological sort - - [ ] count connected components in a graph - - [ ] list strongly connected components - - [ ] check for bipartite graph - -Você ganhará mais prática com gráficos no livro do Skiena (veja a seção de livro abaixo) e os livros da entrevista +## Grafos + +Grafos podem ser usados para representar muitos problemas na Ciência da Computação, então essa seção é longa, assim como árvores e ordenação também foram. + +- Anotações: + - Há 4 maneiras básicas de representar um grafo na memória: + - objetos e apontadores + - matriz de adjacência + - lista de adjacência + - mapa de adjacência + - Famialirize-se com cada representação e seus prós e contras. + - Busca em Largura (BFS) e Busca em Profundidade (DFS) - saiba a complexidade computacional deles, suas compensações, e como implementar eles em código real. + - Quando for perguntado uma questão, busque por uma solução baseada em grafos primeiro, então se não houver, siga em frente. + +- [ ] Aulas do Skiena - ótima introdução: + - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) (CSE373 2012 - Aula 11 - Estrutura de Dados de Grafos - vídeo) + - [ ] [CSE373 2012 - Lecture 12 - Breadth-First Search (video)](https://www.youtube.com/watch?v=g5vF8jscteo&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=12) (CSE373 2012 - Aula 12 - Busca em Largura - vídeo) + - [ ] [CSE373 2012 - Lecture 13 - Graph Algorithms (video)](https://www.youtube.com/watch?v=S23W6eTcqdY&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=13) (CSE373 2012 - Aula 13 - Algoritmos de Grafos - vídeo) + - [ ] [CSE373 2012 - Lecture 14 - Graph Algorithms (con't) (video)](https://www.youtube.com/watch?v=WitPBKGV0HY&index=14&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) (CSE373 2012 - Aula 11 - Algoritmos de Grafos (parte 1) - vídeo) + - [ ] [CSE373 2012 - Lecture 15 - Graph Algorithms (con't 2) (video)](https://www.youtube.com/watch?v=ia1L30l7OIg&index=15&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) (CSE373 2012 - Aula 11 - Algoritmos de Grafos (parte 2) - vídeo) + - [ ] [CSE373 2012 - Lecture 16 - Graph Algorithms (con't 3) (video)](https://www.youtube.com/watch?v=jgDOQq6iWy8&index=16&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) (CSE373 2012 - Aula 11 - Algoritmos de Grafos (parte 3) - vídeo) + +- [ ] Grafos (revisão e mais): + + - [ ] [6.006 Single-Source Shortest Paths Problem (video)](https://www.youtube.com/watch?v=Aa2sqUhIn-E&index=15&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (6.006 Problema do Menor Caminho de Fonte-Única - vídeo) + - [ ] [6.006 Dijkstra (vídeo)](https://www.youtube.com/watch?v=2E7MmKv0Y24&index=16&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) + - [ ] [6.006 Bellman-Ford (vídeo)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) + - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) (6.006 acelerando Dijkstra - vídeo) + - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)](https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Aduni: Algoritmos de Grafos I - Ordenação Topológica, Árvores de Extensão Mínima, Algoritmo de Prim - Aula 6 - vídeo) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) (Aduni: Algoritmos de Grafos II - Busca em Profundidade (DFS), Busca em Largura (BFS), Algoritmo de Kruskal, Estrutura de Dados Union-Find - Aula 7 - vídeo) + - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) (Aduni: Algoritmos de Grafos III: Menor Caminhno - Aula 8 - vídeo) + - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) (Algoritmos de Grafos IV: Introdução à algoritmos geométricos - Aual 9 - vídeo) + - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) (CS 61B 2014 (começando em 58:09) - vídeo) + - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) (CS 61B 2014: Grafos Ponderados - vídeo) + - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Algoritmos Gulosos: Árvore de Extensão Mínima - vídeo) + - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) (Componentes Fortemente Conectados, Algoritmo de Kosaraju, Algoritmo de Grafo - vídeo) + +- Curso Completo do Coursera: + - [ ] [Algorithms on Graphs (video)](https://www.coursera.org/learn/algorithms-on-graphs/home/welcome) (Algoritmos em Grafos - vídeo) + +- Irei implementar: + - [ ] Busca em Profundidade (DFS) com lista de adjacência (recursivo) + - [ ] Busca em Profundidade (DFS) com lista de adjacência (iterativo com memória estática (stack)) + - [ ] Busca em Profundidade (DFS) com matriz de adjacência (recursivo) + - [ ] Busca em Profundidade (DFS) com matriz de adjacência (iterativo com memória estática (stack)) + - [ ] Busca em Largura (BFS) com lista de adjacência + - [ ] Busca em Largura (BFS) com matriz de adjacência + - [ ] menor caminho de fonte-única (Dijkstra) + - [ ] árvore de extensão mínima + - Algoritmos baseados em busca em profundidade (DFS) (ver vídeos da Aduni acima): + - [ ] checar por ciclos (necessário para ordenação topológica, já que nós iremos checar por ciclos antes de começar) + - [ ] ordenação topológica + - [ ] contar componentes conectados em um grafo + - [ ] listar componentes fortemente conectados + - [ ] checar por grafos bipartidos + +Você ganhará mais prática com grafos no livro do Skiena (veja a seção de livros abaixo) e os livros da entrevista ## Even More Knowledge From cc839baeab6b216230cce46675f1fc215ee9e7b0 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 15:37:37 -0300 Subject: [PATCH 180/236] updated translation, closes #14 --- translations/README-ptbr.md | 558 ++++++++++++++++++------------------ 1 file changed, 279 insertions(+), 279 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index e048e0e6a0..0de1d5d02e 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -19,7 +19,7 @@ Esse é o meu plano de estudo mensal para ir de desenvolvedor web (autodidata, s ![Programando no quadro branco - do Vale do Silício da HBO](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) Essa longa lista foi extraída e expandida a partir das **anotações de treinamento da Google**, então essas são as coisas que você precisa saber. -Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge’s e às vezes são expressados palavra-por-palavra nas anotações de treinamento da Google. +Eu adicionei alguns itens extras no final que podem aparecer na entrevista ou serem úteis para resolver um problema. Muitos itens são da obra “[Get that job at Google](http://steve-yegge.blogspot.com/2008/03/get-that-job-at-google.html)” (Consiga aquele trabalho na Google) de Steve Yegge's e às vezes são expressados palavra-por-palavra nas anotações de treinamento da Google. Isso é direcionado à **engenheiros de software novos** ou àqueles que estão migrando de desenvolvimento de software/web para engenharia de software (onde conhecimento de ciência da computação é necessário). Se você tem vários anos de experiência e está alegando muitos anos de experiência com engenharia de software, pode esperar por uma entrevista mais difícil. @@ -71,25 +71,25 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - matriz de adjacência - lista de adjacência - traversals: BFS, DFS -- [Even More Knowledge](#even-more-knowledge) - - [Recursion](#recursion) - - [Dynamic Programming](#dynamic-programming) - - [Object-Oriented Programming](#object-oriented-programming) - - [Design Patterns](#design-patterns) - - [Combinatorics (n choose k) & Probability](#combinatorics-n-choose-k--probability) - - [NP, NP-Complete and Approximation Algorithms](#np-np-complete-and-approximation-algorithms) +- [Mais Conhecimento Ainda](#mais-conhecimento-ainda) + - [Recursão](#recursão) + - [Programação Dinâmica](#programação-dinâmica) + - [Programação Orientada a Objetos](#programação-orientada-a-objetos) + - [Padrões de Design](#padrões-de-design) + - [Combinatórias (n escolhe k) e Probabilidade](#combinatórias-n-escolhe-k-e-probabilidade) + - [Algorirtmos de Aproximação, NP-Completo e NP](#algorirtmos-de-Aproximação-NP---Completo-e-NP) - [Caches](#caches) - - [Processes and Threads](#processes-and-threads) - - [Papers](#papers) - - [Testing](#testing) - - [Scheduling](#scheduling) - - [Implement system routines](#implement-system-routines) - - [String searching & manipulations](#string-searching--manipulations) - - [Tries](#tries) - - [Floating Point Numbers](#floating-point-numbers) + - [Processos e Threads](#processos-e-threads) + - [Artigos](#artigos) + - [Testes](#testes) + - [Agendamento](#agendamento) + - [Implementar rotinas de sistema](#implementar-rotinas-de-sistema) + - [Busca de string e manipulações](#busca-de-string-e-manipulações) + - [Tries (ou Árvore de Prefixos)](#tries--ou-Árvore-de-prefixos) + - [Números de Ponto Flutuantes ("Floating Point Numbers")](#números-de-ponto-flutuantes--Floating-Point-Numbers) - [Unicode](#unicode) - - [Endianness](#endianness) -- [Networking](#networking) + - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade--ordenação--ou-endianness-em-Inglês) +- [Redes](#redes) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) - [Final Review](#final-review) - [Coding Question Practice](#coding-question-practice) @@ -865,292 +865,292 @@ Grafos podem ser usados para representar muitos problemas na Ciência da Computa Você ganhará mais prática com grafos no livro do Skiena (veja a seção de livros abaixo) e os livros da entrevista -## Even More Knowledge - -- ### Recursion - - [ ] Stanford lectures on recursion & backtracking: - - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) - - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) - - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) - - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) - - when it is appropriate to use it - - how is tail recursion better than not? - - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) - - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) - -- ### Dynamic Programming - - This subject can be pretty difficult, as each DP soluble problem must be defined as a recursion relation, and coming up with it can be tricky. - - I suggest looking at many examples of DP problems until you have a solid understanding of the pattern involved. +## Mais Conhecimento Ainda + +- ### Recursão + - [ ] Aulas de Stanford sobre recursão e backtracking: + - [ ] [Lecture 8 | Programming Abstractions (video)](https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8) (Aula 8 | Abstrações de Programação - vídeo) + - [ ] [Lecture 9 | Programming Abstractions (video)](https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9) (Aula 9 | Abstrações de Programação - vídeo) + - [ ] [Lecture 10 | Programming Abstractions (video)](https://www.youtube.com/watch?v=NdF1QDTRkck&index=10&list=PLFE6E58F856038C69) (Aula 10 | Abstrações de Programação - vídeo) + - [ ] [Lecture 11 | Programming Abstractions (video)](https://www.youtube.com/watch?v=p-gpaIGRCQI&list=PLFE6E58F856038C69&index=11) (Aula 11 | Abstrações de Programação - vídeo) + - quando é apropriado usá-la + - como a recursão de cauda é melhor do que nada? + - [ ] [What Is Tail Recursion Why Is It So Bad?](https://www.quora.com/What-is-tail-recursion-Why-is-it-so-bad) (O Que É Recursão de Cauda E Por Que Ela É Tão Ruim?) + - [ ] [Tail Recursion (video)](https://www.youtube.com/watch?v=L1jjXGfxozc) (Recursão de Cauda - vídeo) + +- ### Programação Dinâmica + - Esse assunto pode ser bem difícil, já que cada problema solúvel de PD deve ser definido como uma relação de recursão, e isso pode ser complicado. + - Eu sugiro olhar vários exemplos de problemas de PD até que você tenha um bom entendimento do padrão envolvido. - [ ] vídeos: - - the Skiena videos can be hard to follow since he sometimes uses the whiteboard, which is too small to see - - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) - - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) - - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) - - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) - - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) - - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) - - [ ] List of individual DP problems (each is short): - [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) - - [ ] Yale Lecture notes: - - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) + - os vídeos do Skiena podem ser difíceis de acompanhar já que ele às vezes usa o quadro branco, o qual é pequeno para enxergar + - [ ] [Skiena: CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming (video)](https://youtu.be/Qc2ieXRgR0k?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1718) (Skiena: CSE373 2012 - Aula 19 - Introdução à Programação Dinâmica - vídeo) + - [ ] [Skiena: CSE373 2012 - Lecture 20 - Edit Distance (video)](https://youtu.be/IsmMhMdyeGY?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=2749) (Skiena: CSE373 2012 - Aula 20 - Editar Distância - vídeo) + - [ ] [Skiena: CSE373 2012 - Lecture 21 - Dynamic Programming Examples (video)](https://youtu.be/o0V9eYF4UI8?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=406) (Skiena: CSE373 2012 - Aula 21 - Exemplos de Programação Dinâmica - vídeo) + - [ ] [Skiena: CSE373 2012 - Lecture 22 - Applications of Dynamic Programming (video)](https://www.youtube.com/watch?v=dRbMC1Ltl3A&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=22) (Skiena: CSE373 2012 - Aula 22 - Aplicações de Programação Dinâmica - vídeo) + - [ ] [Simonson: Dynamic Programming 0 (starts at 59:18) (video)](https://youtu.be/J5aJEcOr6Eo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3558) (Simonson: Programação Dinâmica 0 (começa em 59:18) - vídeo) + - [ ] [Simonson: Dynamic Programming I - Lecture 11 (video)](https://www.youtube.com/watch?v=0EzHjQ_SOeU&index=11&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Simonson: Programação Dinâmica I - Aula 11 - vídeo) + - [ ] [Simonson: Dynamic programming II - Lecture 12 (video)](https://www.youtube.com/watch?v=v1qiRwuJU7g&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=12) (Simonson: Programação Dinâmica II - Aula 12 - vídeo) + - [ ] Lista de problemas individuais de PD (cada um é curto): + [Dynamic Programming (video)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) (Programação Dinâmica - vídeo) + - [ ] Anotações de Aulas da Yale + - [ ] [Dynamic Programming](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#dynamicProgramming) (Programação Dinâmica) - [ ] Coursera: - - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) - - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) - - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) - - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) - - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) - - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) - - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) - -- ### Object-Oriented Programming - - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) - - [ ] Object-Oriented Software Engineering: Software Dev Using UML and Java (21 videos): - - Can skip this if you have a great grasp of OO and OO design practices. - - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] SOLID OOP Principles: - - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) - - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) - - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) - - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) - - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) - - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) - - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) - - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clients should not be forced to implement interfaces they don't use - - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) - - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. - - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) - - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) - -- ### Design patterns - - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) - - [ ] Learn these patterns: - - [ ] strategy - - [ ] singleton - - [ ] adapter - - [ ] prototype - - [ ] decorator - - [ ] visitor - - [ ] factory, abstract factory - - [ ] facade - - [ ] observer + - [ ] [The RNA secondary structure problem (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem) (O problema da estrutura secundária de RNA - vídeo) + - [ ] [A dynamic programming algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/PSonq/a-dynamic-programming-algorithm) (Um algoritmo de programação dinâmica - vídeo) + - [ ] [Illustrating the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/oUEK2/illustrating-the-dp-algorithm) (Ilustrando o algorítmo de PD - vídeo) + - [ ] [Running time of the DP algorithm (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/nfK2r/running-time-of-the-dp-algorithm) (Tempo de execução do algoritmo de PD - vídeo) + - [ ] [DP vs. recursive implementation (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/M999a/dp-vs-recursive-implementation) (PD vs. implementação recursiva - vídeo) + - [ ] [Global pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment) (Alinhamento de sequência em pares global - vídeo) + - [ ] [Local pairwise sequence alignment (video)](https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment) (Alinhamento de sequência em pares local - vídeo) + +- ### Programação Orientada a Objetos + - [ ] [Optional: UML 2.0 Series (video)](https://www.youtube.com/watch?v=OkC7HKtiZC0&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc) (Opcional: Série UML 2.0 - vídeo) + - [ ] Engenharia de Software Orientada a Objetos: Desenvolvedor de Software Usando UML e Java - 21 vídeo): + - Pode pular isso se você tem uma boa compreensão de OO e práticas de design em OO. + - [OOSE: Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (Engenharia de Software Orientada a Objetos: Desenvolvedor de Software usando UML e Java) + - [ ] Princípios de SOLID de POO: + - [ ] [Bob Martin SOLID Principles of Object Oriented and Agile Design (video)](https://www.youtube.com/watch?v=TMuno5RZNeE) (Princípios de SOLID de Orientação a Objetos e Design Ágil por Bob Martin) + - [ ] [SOLID Design Patterns in C# (video)](https://www.youtube.com/playlist?list=PL8m4NUhTQU48oiGCSgCP1FiJEcg_xJzyQ) (Padrões de Design de SOLID em C# - vídeo) + - [ ] [SOLID Principles (video)](https://www.youtube.com/playlist?list=PL4CE9F710017EA77A) (Princípios de SOLID - vídeo) + - [ ] S - [Single Responsibility Principle](http://www.oodesign.com/single-responsibility-principle.html) | [Single responsibility to each Object](http://www.javacodegeeks.com/2011/11/solid-single-responsibility-principle.html) (S - Princípio da Responsabilidade Única) + - [more flavor](https://docs.google.com/open?id=0ByOwmqah_nuGNHEtcU5OekdDMkk) (mais informações) + - [ ] O - [Open/Closed Principal](http://www.oodesign.com/open-close-principle.html) | [On production level Objects are ready for extension for not for modification](https://en.wikipedia.org/wiki/Open/closed_principle) (O - Princípio Aberto/Fechado) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgN2M5MTkwM2EtNWFkZC00ZTI3LWFjZTUtNTFhZGZiYmUzODc1&hl=en) (mais informações) + - [ ] L - [Liskov Substitution Principal](http://www.oodesign.com/liskov-s-substitution-principle.html) | [Base Class and Derived class follow ‘IS A’ principal](http://stackoverflow.com/questions/56860/what-is-the-liskov-substitution-principle) (L - Princípio de Substituição de Liskov) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgNzAzZjA5ZmItNjU3NS00MzQ5LTkwYjMtMDJhNDU5ZTM0MTlh&hl=en) (mais informações) + - [ ] I - [Interface segregation principle](http://www.oodesign.com/interface-segregation-principle.html) | clientes não devem ser forçados a implementar interfaces que eles não usam (Princípio da segregação de Interface) + - [Interface Segregation Principle in 5 minutes (video)](https://www.youtube.com/watch?v=3CtAfl7aXAQ) (Princípio da Segregação de Interface em 5 minutos - vídeo) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgOTViYjJhYzMtMzYxMC00MzFjLWJjMzYtOGJiMDc5N2JkYmJi&hl=en) (mais informações) + - [ ] D -[Dependency Inversion principle](http://www.oodesign.com/dependency-inversion-principle.html) | Reduce the dependency In composition of objects. (D - Princípio da Inversão de Dependência) + - [Why Is The Dependency Inversion Principle And Why Is It Important](http://stackoverflow.com/questions/62539/what-is-the-dependency-inversion-principle-and-why-is-it-important) (O Que É O Princípio da Inversão de Dependência E Por Que Ele É Importante) + - [more flavor](http://docs.google.com/a/cleancoder.com/viewer?a=v&pid=explorer&chrome=true&srcid=0BwhCYaYDn8EgMjdlMWIzNGUtZTQ0NC00ZjQ5LTkwYzQtZjRhMDRlNTQ3ZGMz&hl=en) (mais informações) + +- ### Padrões de design + - [ ] [Quick UML review (video)](https://www.youtube.com/watch?v=3cmzqZzwNDM&list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc&index=3) (Revisão rápida de UML - vídeo) + - [ ] Aprenda esses padrões: + - [ ] estratégia + - [ ] singleton (único) + - [ ] adaptador + - [ ] protótipo + - [ ] decorador + - [ ] visitante + - [ ] fábrica, fábrica abstrata + - [ ] fachada + - [ ] observador - [ ] proxy - - [ ] delegate - - [ ] command - - [ ] state + - [ ] delegar + - [ ] comandar + - [ ] estado - [ ] memento - - [ ] iterator - - [ ] composite - - [ ] flyweight - - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) - - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) - - [ ] [Video series (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) - - I know the canonical book is "Design Patterns: Elements of Reusable Object-Oriented Software", but Head First is great for beginners to OO. - - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) - - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) - -- ### Combinatorics (n choose k) & Probability - - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) - - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) - - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) + - [ ] iterador + - [ ] composto + - [ ] flyweight (peso-mosca) + - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) (Capítulo 6 (Parte 1) - Padrões - vídeo) + - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (Capítulo 6 (Parte 2) - Abstração-Ocorrência, Hierarquia Geral, Função-Jogador, Singleton, Observador, Delegação - vídeo) + - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (Capítulo 6 (Parte 3) - Adaptador, Fachada, Imutável, Interface Somente Leitura, Proxy - vídeo ) + - [ ] [Video series (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) (Série de vídeos - 27 vídeos) + - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) (Padrões de Design "Head First" ou "cabeça primeiro" numa tradução literal) + - Eu sei que o livro canônico é "Design Patterns: Elements of Reusable Object-Oriented Software (Padrões de Design: Elementos de Software Orientado a Objetos reutilizável), mas "Head First" é ótimo para iniciantes em POO. + - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) (Referência Útil: 101 Dicas e Padrões de Design para Desenvolvedores) + - [ ] [Design patterns for humans](https://github.com/kamranahmedse/design-patterns-for-humans#structural-design-patterns) (Padrões de design para humanos) + +- ### Combinatórias (n escolhe k) e Probabilidade + - [ ] [Math Skills: How to find Factorial, Permutation and Combination (Choose) (video)](https://www.youtube.com/watch?v=8RRo6Ti9d0U) (Habilidades Matemáticas: Como encontrar Fatorial, Permutação e Combinação (Escolha) - vídeo) + - [ ] [Make School: Probability (video)](https://www.youtube.com/watch?v=sZkAAk9Wwa4) (Make School: Probabilidade - vídeo) + - [ ] [Make School: More Probability and Markov Chains (video)](https://www.youtube.com/watch?v=dNaJg-mLobQ) (Make School: Mais Probabilidade e Cadeias de Markov - vídeo) - [ ] Khan Academy: - - Course layout: - - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) - - Just the videos - 41 (each are simple and each are short): - - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - -- ### NP, NP-Complete and Approximation Algorithms - - Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem, - and be able to recognize them when an interviewer asks you them in disguise. - - Know what NP-complete means. - - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) + - Layout do curso + - [ ] [Basic Theoretical Probability](https://www.khanacademy.org/math/probability/probability-and-combinatorics-topic) (Probabilidade Teorética Básica) + - Apenas os vídeos - 41 (cada um é simples e curto): + - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) (Probabilidade Explicada - vídeo) + +- ### Algorirtmos de Aproximação, NP-Completo e NP + - Saiba sobre as classes mais famosas de problemas NP-completo, como o problema do vendedor viajante e o problema da mochila, + e seja capaz de reconhecê-los quando um entrevistador lhe perguntar disfarçado. + - Saiba o que NP-completo significa. + - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) (Complexidade Computacional - vídeo) - [ ] Simonson: - - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) - - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness III (video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) + - [ ] [Greedy Algs. II & Intro to NP Completeness (video)](https://youtu.be/qcGnJ47Smlo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=2939) (Algoritmos Gulosos II e Introdução à Completude NP - vídeo) + - [ ] [NP Completeness II & Reductions (video)](https://www.youtube.com/watch?v=e0tGC6ZQdQE&index=16&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Completude NP II e Reduções - vídeo) + - [ ] [NP Completeness III (video)](https://www.youtube.com/watch?v=fCX1BGT3wjE&index=17&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Completude NP III - vídeo) + - [ ] [NP Completeness IV (video)](https://www.youtube.com/watch?v=NKLDp3Rch3M&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=18) (Completude NP IV - vídeo) - [ ] Skiena: - - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) - - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) - - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) - - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - Peter Norvig discusses near-optimal solutions to traveling salesman problem: - - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) - - Pages 1048 - 1140 in CLRS if you have it. + - [ ] [CSE373 2012 - Lecture 23 - Introduction to NP-Completeness (video)](https://youtu.be/KiK5TVgXbFg?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1508) (CSE373 2012 - Aula 23 - Introdução à Completude-NP - vídeo) + - [ ] [CSE373 2012 - Lecture 24 - NP-Completeness Proofs (video)](https://www.youtube.com/watch?v=27Al52X3hd4&index=24&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) (CSE373 2012 - Aula 24 - Provas de Completude-NP - vídeo) + - [ ] [CSE373 2012 - Lecture 25 - NP-Completeness Challenge (video)](https://www.youtube.com/watch?v=xCPH4gwIIXM&index=25&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) (CSE373 2012 - Aula 25 - Desafio de Completude-NP - vídeo) + - [ ] [Complexity: P, NP, NP-completeness, Reductions (video)](https://www.youtube.com/watch?v=eHZifpgyH_4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=22) (Complexidade: P, NP, Completude-NP, Reduções - vídeo) + - [ ] [Complexity: Approximation Algorithms (video)](https://www.youtube.com/watch?v=MEz1J9wY2iM&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=24) (Complexidade: Algoritmos de Aproximação - vídeo) + - [ ] [Complexity: Fixed-Parameter Algorithms (video)](https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Complexidade: Algorítmos de Parâmetro-Fixado - vídeo) + - Peter Norvig debate soluções tão boas quanto possível para o problema do vendedor viajante: + - [Jupyter Notebook](http://nbviewer.jupyter.org/url/norvig.com/ipython/TSP.ipynb) (Caderno de Júpiter) + - Páginas 1048 - 1140 em CLRS (livro Introdução à Algoritmos) se você o tive.r - ### Caches - - [ ] LRU cache: - - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) - - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) - - [ ] [LeetCode - 146 LRU Cache (C++) (video)](https://www.youtube.com/watch?v=8-FZRAjR7qU) - - [ ] CPU cache: - - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) - - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) - -- ### Processes and Threads - - [ ] Computer Science 162 - Operating Systems (25 videos): - - for processes and threads see videos 1-11 - - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) - - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) - - Covers: - - Processes, Threads, Concurrency issues - - difference between processes and threads - - processes + - [ ] Cache LRU: + - [ ] [The Magic of LRU Cache (100 Days of Google Dev) (video)](https://www.youtube.com/watch?v=R5ON3iwx78M) (A Mágica do Cache LRU (100 dias de Google Dev) - vídeo) + - [ ] [Implementing LRU (video)](https://www.youtube.com/watch?v=bq6N7Ym81iI) (Implementando LRU - vídeo) + - [ ] [LeetCode - 146 Cache LRU (C++) (vídeo)](https://www.youtube.com/watch?v=8-FZRAjR7qU)) + - [ ] cache CPU: + - [ ] [MIT 6.004 L15: The Memory Hierarchy (video)](https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24) (MIT 6.004 L15: A Hierarquia de Memória - vídeo) + - [ ] [MIT 6.004 L16: Cache Issues (video)](https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) (MIT 6.004 L16: Problemas de Cache - vídeo) + +- ### Processos e Threads + - [ ] Ciência da Computação 162 - Sistemas Operacionais (25 vídeos): + - para processos e threads veja os vídeos 1-11 + - [Operating Systems and System Programming (video)](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c) (Sistemas Operacionais e Programação de Sistema - vídeo) + - [What Is The Difference Between A Process And A Thread?](https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread) (Qual É A Diferença Entre Um Processo E Uma Thread) + - Cobre: + - Processos, Threads, Problemas de Simultaneidade + - diferença entre processos e threads + - processos - threads - locks - mutexes - - semaphores - - monitors - - how they work + - semáforos + - monitores + - como eles funcionam - deadlock - livelock - - CPU activity, interrupts, context switching - - Modern concurrency constructs with multicore processors - - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) - - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) - - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) - - Process resource needs (memory: code, static storage, stack, heap, and also file descriptors, i/o) - - Thread resource needs (shares above (minus stack) with other threads in the same process but each has its own pc, stack counter, registers, and stack) - - Forking is really copy on write (read-only) until the new process writes to memory, then it does a full copy. - - Context switching - - How context switching is initiated by the operating system and underlying hardware - - [ ] [threads in C++ (series - 10 videos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) - - [ ] concurrency in Python (videos): - - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) - - [ ] [Python Threads](https://www.youtube.com/watch?v=Bs7vPNbB9JM) - - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) - - [reference](http://www.dabeaz.com/GIL) - - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) - - [ ] [Mutex in Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - -- ### Papers - - Reading all from end to end with full comprehension will likely take more time than you have. I recommend being selective on papers and their sections. - - [Love classic papers?](https://www.cs.cmu.edu/~crary/819-f09/) - - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) - - [implemented in Go](https://godoc.org/github.com/thomas11/csp) - - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) - - replaced by Colossus in 2012 - - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) - - mostly replaced by Cloud Dataflow? - - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) - - The Dynamo paper kicked off the NoSQL revolution - - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) - - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) - - [ ] [2012: Google's Colossus](https://www.wired.com/2012/07/google-colossus/) - - paper not available - - [ ] 2012: AddressSanitizer: A Fast Address Sanity Checker: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) - - [video](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) - - [ ] 2013: Spanner: Google’s Globally-Distributed Database: - - [paper](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) - - [video](https://www.usenix.org/node/170855) - - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) - - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) - - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) - - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) - - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) - - [ ] [2016: Borg, Omega, and Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) - -- ### Testing - - To cover: - - how unit testing works - - what are mock objects - - what is integration testing - - what is dependency injection - - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) - - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) - - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) + - atividade, interrupções e troca de contexto de CPU + - Construtos de simultaneidade modernos com processadores de múltiplos núcleos. + - [Paging, segmentation and virtual memory (video)](https://www.youtube.com/watch?v=LKe7xK0bF7o&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=2) (Paginação, segmentação e memória virtual - vídeo) + - [Interrupts (video)](https://www.youtube.com/watch?v=uFKi2-J-6II&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8&index=3) (Interruoções - vídeo) + - [Scheduling (video)](https://www.youtube.com/watch?v=-Gu5mYdKbu4&index=4&list=PLCiOXwirraUCBE9i_ukL8_Kfg6XNv7Se8) (Agendamento - vídeo) + - Necessidades de recurso de processos (memória: código, armazenamento estático, memória estática (stack), memória dinâmica (heap), e também descritores de arquivo, i/o + - Necessidades de recurso de threads (o mesmo que acima (menos stack) com outras threads no mesmo processo, mas cada um tem seu próprio pc, contador de stack, registros, e stack) + - Bifurcação nada mais é que COW (copy-on-write) (somente leitura) até que o novo processo escreva na memória, depois ela faz uma cópia completa. + - Troca de contexto + - Como a troca de contexto é iniciada pelo sistema operacional e componentes de hardware subjacentes + - [ ] [threads em C++ (série- 10 vídeos)](https://www.youtube.com/playlist?list=PL5jc9xFGsL8E12so1wlMS0r0hTQoJL74M) + - [ ] simultaneidade (ou concorrência) em Python (vídeos): + - [ ] [Short series on threads](https://www.youtube.com/playlist?list=PL1H1sBF1VAKVMONJWJkmUh6_p8g4F2oy1) (Pequena série sobre threads) + - [ ] [Threads em Python](https://www.youtube.com/watch?v=Bs7vPNbB9JM) + - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) (Entendendo o GIL de Python) + - [referência](http://www.dabeaz.com/GIL) + - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) (David Beazley - Simultaneidade (ou concorrência) Em Python Do Zero: AO VIVO!) + - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) (Keynote David Beazley - Tópicos de Interesse - Python Asyncio) + - [ ] [Mutex em Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) + +- ### Artigos + - Ler tudo de ponta a ponta com total compreensão irá provavelmente levar mais tempo do que você tem. Eu recomendo ser seletivo com os artigos e suas seções. + - [Adora artigos clássicos?](https://www.cs.cmu.edu/~crary/819-f09/) + - [ ] [1978: Communicating Sequential Processes](http://spinroot.com/courses/summer/Papers/hoare_1978.pdf) (1978: Comunicando Processos Sequenciais) + - [implementado em Go](https://godoc.org/github.com/thomas11/csp) + - [ ] [2003: The Google File System](http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf) (2003: O Sistema de Arquivos da Google) + - substituído por Colossus em 2012 + - [ ] [2004: MapReduce: Simplified Data Processing on Large Clusters]( http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf) (2004: MapReduce: Processamento de Dados Simplificado em Grandes Aglomerados) + - substituído, na sua maior parte, por Cloud Dataflow? + - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) (2006: Bigtable: Um Sistema de Armazenamento Distribuído para Data Estruturada) + - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) (Uma Olhada Por Dentro no BigQuery da Google) + - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) (2006: O Serviço de Lock Gordo para Sistemas Distribuídos Frouxamente Acoplados) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) (2007: Dynamo: Loja Chave-valor Altamente Disponível da Amazon) + - O artigo da Dynamo iniciou a revolução NoSQL + - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) (2007: O Que Todo Programador Deve Saber Sobre Memória - bem longo, e o autor encoraja pular algumas seções) + - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) (2010: Dapper, Uma Infraestrutura de Rastreamento de Sistemas Distribuídos de Grande Escala) + - [ ] [2010: Dremel: Interactive Analysis of Web-Scale Datasets](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36632.pdf) (2010: Dremel: Análise Interativa de Conjunto de Dados da Web) + - [ ] [2012: Colossus da Google](https://www.wired.com/2012/07/google-colossus/) + - artigo não disponível + - [ ] 2012: AddressSanitizer: Um Veloz Verificador de Sanidade de Endereço: + - [artigo](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf) + - [vídeo](https://www.usenix.org/conference/atc12/technical-sessions/presentation/serebryany) + - [ ] 2013: Spanner: Banco de Dados Globalmente Distribuído da Google + - [artigo](http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf) + - [vídeo](https://www.usenix.org/node/170855) + - [ ] [2014: Machine Learning: The High-Interest Credit Card of Technical Debt](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf) (2014: Aprendizado de Máquina: O Cartão de Crédito de Alta Taxa de Juros de Débito Técnico) + - [ ] [2015: Continuous Pipelines at Google](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf) (2015: Pipelines Contínuas na Google) + - [ ] [2015: High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf) (2015: Alta Disponibilidade em Escalas Massivas: Construindo a Infraestrutura de Dados da Google para Anúncios) + - [ ] [2015: TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems](http://download.tensorflow.org/paper/whitepaper2015.pdf ) (2015: TensorFlow: Aprendizado de Máquina de Grande Escala em Sistemas Distribuídos Heterogêneos) + - [ ] [2015: How Developers Search for Code: A Case Study](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf) (2015: Como Desenvolvedores Buscam por Código: Um Estudo de Caso) + - [ ] [2016: Borg, Omega, e Kubernetes](http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf) + +- ### Testes + - Cobrir: + - como teste de unidade funciona + - o que são objetos mock + - o que é teste de integração + - o que é injeção de dependência + - [ ] [Agile Software Testing with James Bach (video)](https://www.youtube.com/watch?v=SAhJf36_u5U) (Teste Ágil de Software com James Bach - vídeo) + - [ ] [Open Lecture by James Bach on Software Testing (video)](https://www.youtube.com/watch?v=ILkT_HV9DVU) (Aula Aberta por James Bach sobre Teste de Software - vídeo) + - [ ] [Steve Freeman - Test-Driven Development (that’s not what we meant) (video)](https://vimeo.com/83960706) (Steve Freeman - Desenvolvimento Guiado Por Testes (isso não é o que a gente quis dizer) - vídeo) - [slides](http://gotocon.com/dl/goto-berlin-2013/slides/SteveFreeman_TestDrivenDevelopmentThatsNotWhatWeMeant.pdf) - - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) - - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) - - [ ] [Video series (152 videos) - not all are needed (video)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) - - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) - - [ ] Dependency injection: - - [ ] [video](https://www.youtube.com/watch?v=IKD2-MAkXyQ) - - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) - - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) - -- ### Scheduling - - in an OS, how it works - - can be gleaned from Operating System videos - -- ### Implement system routines - - understand what lies beneath the programming APIs you use - - can you implement them? - -- ### String searching & manipulations - - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) - - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) - - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) + - [ ] [TDD is dead. Long live testing.](http://david.heinemeierhansson.com/2014/tdd-is-dead-long-live-testing.html) (Desenvolvimento Guiado Por Testes (ou a sigla TDD em Inglês, que significa Test-Driven Development) está morto. Longa vida aos testes. + - [ ] [Is TDD dead? (video)](https://www.youtube.com/watch?v=z9quxZsLcfo) (TDD está morto? - vídeo) + - [ ] [Série de Vídeos (152 vídeos) - nem todos são necessários (vídeo)](https://www.youtube.com/watch?v=nzJapzxH_rE&list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g) + - [ ] [Test-Driven Web Development with Python](http://www.obeythetestinggoat.com/pages/book.html#toc) (Desenvolvimento Web Guiado Por Testes com Python) + - [ ] Injeção de dependência: + - [ ] [vídeo](https://www.youtube.com/watch?v=IKD2-MAkXyQ) + - [ ] [Tao Of Testing](http://jasonpolites.github.io/tao-of-testing/ch3-1.1.html) (O Tao Dos Testes) + - [ ] [How to write tests](http://jasonpolites.github.io/tao-of-testing/ch4-1.1.html) (Como escrever testes) + +- ### Agendamento + - em um SO, como funciona + - pode ser adquirido a partir de vídeos de Sistemas Operacionais + +- ### Implementar rotinas de sistema + - entenda o que tem por baixo das APIs de programação que você usa + - você pode as implementar? + +- ### Busca de string e manipulações + - [ ] [Sedgewick - Suffix Arrays (video)](https://www.youtube.com/watch?v=HKPrVm5FWvg) (Sedgewick - Arrays de Sufixo - vídeo) + - [ ] [Sedgewick - Substring Search (videos)](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) (Sedgewick - Busca de Substring - vídeos) + - [ ] [1. Introduction to Substring Search](https://www.youtube.com/watch?v=2LvvVFCEIv8&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=5) (1. Introdução à Busca de Substring) + - [ ] [2. Brute-Force Substring Search](https://www.youtube.com/watch?v=CcDXwIGEXYU&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=4) (Busca de Substring por Força Bruta) - [ ] [3. Knuth-Morris Pratt](https://www.youtube.com/watch?v=n-7n-FDEWzc&index=3&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - [ ] [4. Boyer-Moore](https://www.youtube.com/watch?v=fI7Ch6pZXfM&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66&index=2) - [ ] [5. Rabin-Karp](https://www.youtube.com/watch?v=QzI0p6zDjK4&index=1&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) - - If you need more detail on this subject, see "String Matching" section in [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) - -- ### Tries - - Note there are different kinds of tries. Some have prefixes, some don't, and some use string instead of bits - to track the path. - - I read through code, but will not implement. - - [ ] [Sedgewick - Tries (3 videos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [1. R Way Tries](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) - - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) - - [ ] Short course videos: - - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) - - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) - - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) - - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) - - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) - - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) - - [ ] [MIT, Advanced Data Structures, Strings (can get pretty obscure about halfway through)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - -- ### Floating Point Numbers - - [ ] simple 8-bit: [Representation of Floating Point Numbers - 1 (video - there is an error in calculations - see video description)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) + - [ ] [Search pattern in text (video)](https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text) (Buscar padrão em um texto - vídeo) + + Se você precisa de mais detalhes sobre esse assunto, veja a seção "String Matching" em [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) + +- ### Tries (ou Árvore de Prefixos) + - Note que há tipos diferentes de tries. Alguns tem prefixos, alguns não, e alguns usam string ao invés de bits + para rastrear o caminho. + - Eu li todo o código, mas não irei implementar. + - [ ] [Sedgewick - Tries (3 vídeos)](https://www.youtube.com/playlist?list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [1. Tries R-Way](https://www.youtube.com/watch?v=buq2bn8x3Vo&index=3&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) + - [ ] [2. Ternary Search Tries](https://www.youtube.com/watch?v=LelV-kkYMIg&index=2&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) (Tries de Busca Ternária) + - [ ] [3. Character Based Operations](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ&index=1) (Operações Baseadas Em Caracteres) + - [ ] [Notes on Data Structures and Programming Techniques](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Tries) (Anotações sobre Estruturas de Dados e Técnicas de Programação) + - [ ] Vídeos de cursos curtos: + - [ ] [Introduction To Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/08Xyf/core-introduction-to-tries) (Introdução À Tries - vídeo) + - [ ] [Performance Of Tries (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/PvlZW/core-performance-of-tries) (Desempenho De Tries - vídeo) + - [ ] [Implementing A Trie (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/DFvd3/core-implementing-a-trie) (Implementando Uma Trie - vídeo) + - [ ] [The Trie: A Neglected Data Structure](https://www.toptal.com/java/the-trie-a-neglected-data-structure) (A Trie: Uma Estrutura de Dados Negligenciada) + - [ ] [TopCoder - Using Tries](https://www.topcoder.com/community/data-science/data-science-tutorials/using-tries/) (TopCoder - Usando Tries) + - [ ] [Stanford Lecture (real world use case) (video)](https://www.youtube.com/watch?v=TJ8SkcUSdbU) (Aula de Stanfort (caso de uso no mundo real) - vídeo) + - [ ] [MIT, Advanced Data Structures, Strings (pode ficar bem obscuro pela metade)](https://www.youtube.com/watch?v=NinWEPPrkDQ&index=16&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) (MIT, Estruturas De Dados Avançadas, Strings) + +- ### Números de Ponto Flutuantes ("Floating Point Numbers") + - [ ] simples 8-bit: [Representation of Floating Point Numbers - 1 (video - tem um erro nos cálculos - veja a descrição do vídeo)](https://www.youtube.com/watch?v=ji3SfClm8TU) (Representação de Número de Ponto Flutuantes - 1 - vídeo) + - [ ] 32 bit: [IEEE754 32-bit floating point binary (video)](https://www.youtube.com/watch?v=50ZYcZebIec) (IEEE754 Binário de Ponto Flutuante 32-bit - vídeo) - ### Unicode - - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) - - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) - -- ### Endianness - - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) - - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) - - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) - - Very technical talk for kernel devs. Don't worry if most is over your head. - - The first half is enough. - -- ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** - - otherwise, this is just good to know + - [ ] [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets]( http://www.joelonsoftware.com/articles/Unicode.html) (O Mínimo Absoluto Que Cada Desenvolvedor de Software Deve Absolutamente, Certamente Saber Sobre Unicode e Conjuntos de Caracteres) + - [ ] [What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text](http://kunststube.net/encoding/) (O Que Cada Programador Deve Absolutamente, Certamente Saber Sobre Codificações E Conjuntos de Caracteres Para Trabalhar Com Texto) + +- ### Extremidade (ordenação) (ou "endianness" em Inglês) + - [ ] [Big And Little Endian](https://www.cs.umd.edu/class/sum2003/cmsc311/Notes/Data/endian.html) (Grande E Pequeno Extremo) + - [ ] [Big Endian Vs Little Endian (video)](https://www.youtube.com/watch?v=JrNF0KRAlyo) (Grande Extremo Vs Pequeno Extremo - vídeo) + - [ ] [Big And Little Endian Inside/Out (video)](https://www.youtube.com/watch?v=oBSuXP-1Tc0) (Explicando Grande e Pequeno Extremos - vídeo) + - Palestra bem técnica para desenvolvedores de kernel. Não se preocupe se grande parte disso for demais para sua cabeça. + - A primeira metade é suficiente. + +- ### Redes + - **se você tem experiência com redes ou quer se tornar um engenheiro de sistemas, se prepare para questões desse gênero** + - caso contrário, isso é no mínimo bom de saber - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) - - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) - - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) + - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) (UDP e TCP: Comparação de Protocolos de Transporte) + - [ ] [TCP/IP and the OSI Model Explained!](https://www.youtube.com/watch?v=e5DEVa9eSN0) (TCP/IP e o Modelo OSI Explicado) + - [ ] [Packet Transmission across the Internet. Networking & TCP/IP tutorial.](https://www.youtube.com/watch?v=nomyRJehhnM) (Transmissão de Pacote pela Internet. Tutorial de Redes e TCP/IP.) - [ ] [HTTP](https://www.youtube.com/watch?v=WGJrLqtX7As) - - [ ] [SSL and HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) + - [ ] [SSL e HTTPS](https://www.youtube.com/watch?v=S2iBR2ZlZf0) - [ ] [SSL/TLS](https://www.youtube.com/watch?v=Rp3iZUvXWlM) - [ ] [HTTP 2.0](https://www.youtube.com/watch?v=E9FxNzv1Tr8) - - [ ] [Video Series (21 videos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) - - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) + - [ ] [Série de Vídeos (21 vídeos)](https://www.youtube.com/playlist?list=PLEbnTDJUr_IegfoqO4iPnPYQui46QqT0j) + - [ ] [Subnetting Demystified - Part 5 CIDR Notation](https://www.youtube.com/watch?v=t5xYI0jzOf4) (Desmistificando Subnetting (ou subdivisão de redes, ou ainda sub-endereçamento IP)) - [ ] Sockets: - - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) - - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) + - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) (Java - Sockets - Introdução - vídeo) + - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) (Programação de Socket - vídeo) ## System Design, Scalability, Data Handling - **You can expect system design questions if you have 4+ years of experience.** From dcaea2adba5ca3972a16bd95c52a62df75e2c292 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 15:40:20 -0300 Subject: [PATCH 181/236] updated translation --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 0de1d5d02e..6c193c95fc 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -71,7 +71,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - matriz de adjacência - lista de adjacência - traversals: BFS, DFS -- [Mais Conhecimento Ainda](#mais-conhecimento-ainda) +- [Ainda Mais Conhecimento](#ainda-mais-conhecimento) - [Recursão](#recursão) - [Programação Dinâmica](#programação-dinâmica) - [Programação Orientada a Objetos](#programação-orientada-a-objetos) @@ -865,7 +865,7 @@ Grafos podem ser usados para representar muitos problemas na Ciência da Computa Você ganhará mais prática com grafos no livro do Skiena (veja a seção de livros abaixo) e os livros da entrevista -## Mais Conhecimento Ainda +## Ainda Mais Conhecimento - ### Recursão - [ ] Aulas de Stanford sobre recursão e backtracking: From 12d17de83eae51b41121fc0e46060da152369fc6 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 15:49:37 -0300 Subject: [PATCH 182/236] fixed typos --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 6c193c95fc..0c06df98bb 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -77,7 +77,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Programação Orientada a Objetos](#programação-orientada-a-objetos) - [Padrões de Design](#padrões-de-design) - [Combinatórias (n escolhe k) e Probabilidade](#combinatórias-n-escolhe-k-e-probabilidade) - - [Algorirtmos de Aproximação, NP-Completo e NP](#algorirtmos-de-Aproximação-NP---Completo-e-NP) + - [Algoritmos de Aproximação, NP-Completo e NP](#algoritmos-de-Aproximação-NP---Completo-e-NP) - [Caches](#caches) - [Processos e Threads](#processos-e-threads) - [Artigos](#artigos) @@ -964,7 +964,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - Apenas os vídeos - 41 (cada um é simples e curto): - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) (Probabilidade Explicada - vídeo) -- ### Algorirtmos de Aproximação, NP-Completo e NP +- ### Algoritmos de Aproximação, NP-Completo e NP - Saiba sobre as classes mais famosas de problemas NP-completo, como o problema do vendedor viajante e o problema da mochila, e seja capaz de reconhecê-los quando um entrevistador lhe perguntar disfarçado. - Saiba o que NP-completo significa. From db3a492cff8e7fc3ad989759a67188f57eab03fe Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 16:06:04 -0300 Subject: [PATCH 183/236] fixed typos --- translations/README-ptbr.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 0c06df98bb..ed5b3a441d 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -46,13 +46,13 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Complexidade Algorítmica / Big-O / Análise assintótica](#complexidade-algorítmica--big-o--análise-assintótica) - [Estrutura de Dados](#estrutura-de-dados) - [Arrays](#arrays) - - [Linked Lists](#linked-lists) + - [Listas Ligadas](#listas-ligadas) - [Stack](#stack) - - [Queue](#queue) - - [Hash table](#hash-table) + - [Queue (Fila)](#queue--fila) + - [Tabela hash (no português: Tabela de dispersão](#tabela-hash--no-português--tabela-de-dispersão) - [Mais Conhecimento](#mais-conhecimento) - - [Binary search](#binary-search) - - [Bitwise operations](#bitwise-operations) + - [Busca binária](#busca-binária) + - [Lógica binária](#lógica-binária) - [Árvores](#Árvores) - [Árvores - Anotações e Fundamentos](#Árvores---anotações-e-fundamentos) - [Árvores binárias de busca: ABB](#Árvores-binárias-de-busca-abb) From 240ce1ed5e716f047ca08ca16941b392a08bc677 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 16:16:25 -0300 Subject: [PATCH 184/236] fixed typos --- translations/README-ptbr.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index ed5b3a441d..a18e4d3174 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -85,10 +85,10 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Agendamento](#agendamento) - [Implementar rotinas de sistema](#implementar-rotinas-de-sistema) - [Busca de string e manipulações](#busca-de-string-e-manipulações) - - [Tries (ou Árvore de Prefixos)](#tries--ou-Árvore-de-prefixos) - - [Números de Ponto Flutuantes ("Floating Point Numbers")](#números-de-ponto-flutuantes--Floating-Point-Numbers) + - [Tries (ou Árvore de Prefixos)](#tries-ou-Árvore-de-prefixos) + - [Números de Ponto Flutuantes ("Floating Point Numbers")](#números-de-ponto-flutuantes-floating-point-numbers) - [Unicode](#unicode) - - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade--ordenação--ou-endianness-em-Inglês) + - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade-ordenação--ou-endianness-em-inglês) - [Redes](#redes) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) - [Final Review](#final-review) From d1be98e816b5de09cc56d16914573c9f522dedcd Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Thu, 8 Jun 2017 16:26:21 -0300 Subject: [PATCH 185/236] fixed typos --- translations/README-ptbr.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index a18e4d3174..ced67fdcfc 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -48,8 +48,8 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Arrays](#arrays) - [Listas Ligadas](#listas-ligadas) - [Stack](#stack) - - [Queue (Fila)](#queue--fila) - - [Tabela hash (no português: Tabela de dispersão](#tabela-hash--no-português--tabela-de-dispersão) + - [Queue (Fila)](#queue-fila) + - [Tabela hash (no português: Tabela de dispersão)](#tabela-hash-no-português-tabela-de-dispersão) - [Mais Conhecimento](#mais-conhecimento) - [Busca binária](#busca-binária) - [Lógica binária](#lógica-binária) @@ -88,7 +88,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Tries (ou Árvore de Prefixos)](#tries-ou-Árvore-de-prefixos) - [Números de Ponto Flutuantes ("Floating Point Numbers")](#números-de-ponto-flutuantes-floating-point-numbers) - [Unicode](#unicode) - - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade-ordenação--ou-endianness-em-inglês) + - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade-ordenação-ou-endianness-em-inglês) - [Redes](#redes) - [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) - [Final Review](#final-review) From 7b3f8054baf406ddb189c3735313ea02b576fb1d Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 11:20:45 -0300 Subject: [PATCH 186/236] updated translation, closes #15 --- translations/README-ptbr.md | 260 ++++++++++++++++++------------------ 1 file changed, 130 insertions(+), 130 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index ced67fdcfc..79f6be949b 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -77,7 +77,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Programação Orientada a Objetos](#programação-orientada-a-objetos) - [Padrões de Design](#padrões-de-design) - [Combinatórias (n escolhe k) e Probabilidade](#combinatórias-n-escolhe-k-e-probabilidade) - - [Algoritmos de Aproximação, NP-Completo e NP](#algoritmos-de-Aproximação-NP---Completo-e-NP) + - [Algoritmos de Aproximação, NP-Completo e NP](#algoritmos-de-aproximação-NP-Completo-e-np) - [Caches](#caches) - [Processos e Threads](#processos-e-threads) - [Artigos](#artigos) @@ -90,7 +90,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Unicode](#unicode) - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade-ordenação-ou-endianness-em-inglês) - [Redes](#redes) -- [System Design, Scalability, Data Handling](#system-design-scalability-data-handling) (if you have 4+ years experience) +- [Design de Sistema, Escalabilidade, Tratamento de Dados](#design-de-sistema-escalabilidade-tratamento-de-dados) (se você tem mais de 4 anos de experiência) - [Final Review](#final-review) - [Coding Question Practice](#coding-question-practice) - [Coding exercises/challenges](#coding-exerciseschallenges) @@ -115,7 +115,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Computer Security](#computer-security) - [Garbage collection](#garbage-collection) - [Parallel Programming](#parallel-programming) - - [Messaging, Serialization, and Queueing Systems](#messaging-serialization-and-queueing-systems) + - [Envio de Mensagens, Serialização, e Sistemas de Enfileiramento](#envio-de-mensagens-serialização-e-sistemas-de-enfileiramento) - [A*](#a) - [Fast Fourier Transform](#fast-fourier-transform) - [Bloom Filter](#bloom-filter) @@ -143,7 +143,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) -- [Video Series](#video-series) +- [Séries de Vídeos](#séries-de-vídeos) - [Computer Science Courses](#computer-science-courses) --- @@ -194,7 +194,7 @@ Eu estou usando a sintaxe de markdown especial do Github, incluindo listas de ta Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, EdX, ou Lynda.com. Esses são chamados de MOOCs (Curso Online Aberto e Massivo). Às vezes as aulas não estão em sessão, nesse caso você terá que esperar alguns meses, portanto não terá acesso até lá. Os cursos da Lynda.com não são gratuitos. - Eu agradeceria a ajuda de vocês em adicionar fontes públicas gratuitas e sempre disponíveis, como vídeos do YouTube para acompanhar os vídeos de curso online. + Eu agradeceria a ajuda de vocês em adicionar recursos públicos gratuitos que sempre estejam disponíveis, como vídeos do YouTube para acompanhar os vídeos de curso online. Eu gosto de usar palestras de universidades; @@ -818,7 +818,7 @@ Grafos podem ser usados para representar muitos problemas na Ciência da Computa - lista de adjacência - mapa de adjacência - Famialirize-se com cada representação e seus prós e contras. - - Busca em Largura (BFS) e Busca em Profundidade (DFS) - saiba a complexidade computacional deles, suas compensações, e como implementar eles em código real. + - Busca em Largura (BFS) e Busca em Profundidade (DFS) - saiba a complexidade computacional deles, seus perde-e-ganhas (tradeoffs), e como implementar eles em código real. - Quando for perguntado uma questão, busque por uma solução baseada em grafos primeiro, então se não houver, siga em frente. - [ ] Aulas do Skiena - ótima introdução: @@ -948,7 +948,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [Chapter 6 (Part 1) - Patterns (video)](https://youtu.be/LAP2A80Ajrg?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO&t=3344) (Capítulo 6 (Parte 1) - Padrões - vídeo) - [ ] [Chapter 6 (Part 2) - Abstraction-Occurrence, General Hierarchy, Player-Role, Singleton, Observer, Delegation (video)](https://www.youtube.com/watch?v=U8-PGsjvZc4&index=12&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (Capítulo 6 (Parte 2) - Abstração-Ocorrência, Hierarquia Geral, Função-Jogador, Singleton, Observador, Delegação - vídeo) - [ ] [Chapter 6 (Part 3) - Adapter, Facade, Immutable, Read-Only Interface, Proxy (video)](https://www.youtube.com/watch?v=7sduBHuex4c&index=13&list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (Capítulo 6 (Parte 3) - Adaptador, Fachada, Imutável, Interface Somente Leitura, Proxy - vídeo ) - - [ ] [Video series (27 videos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) (Série de vídeos - 27 vídeos) + - [ ] [Série de vídeos (27 vídeos)](https://www.youtube.com/playlist?list=PLF206E906175C7E07) - [ ] [Head First Design Patterns](https://www.amazon.com/Head-First-Design-Patterns-Freeman/dp/0596007124) (Padrões de Design "Head First" ou "cabeça primeiro" numa tradução literal) - Eu sei que o livro canônico é "Design Patterns: Elements of Reusable Object-Oriented Software (Padrões de Design: Elementos de Software Orientado a Objetos reutilizável), mas "Head First" é ótimo para iniciantes em POO. - [ ] [Handy reference: 101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips) (Referência Útil: 101 Dicas e Padrões de Design para Desenvolvedores) @@ -1028,7 +1028,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [Understanding the Python GIL (2010)](https://www.youtube.com/watch?v=Obt-vMVdM8s) (Entendendo o GIL de Python) - [referência](http://www.dabeaz.com/GIL) - [ ] [David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015](https://www.youtube.com/watch?v=MCs5OvhV9S4) (David Beazley - Simultaneidade (ou concorrência) Em Python Do Zero: AO VIVO!) - - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) (Keynote David Beazley - Tópicos de Interesse - Python Asyncio) + - [ ] [Keynote David Beazley - Topics of Interest (Python Asyncio)](https://www.youtube.com/watch?v=ZzfHjytDceU) (Ideia Central de David Beazley - Tópicos de Interesse - Python Asyncio) - [ ] [Mutex em Python](https://www.youtube.com/watch?v=0zaPs8OtyKY) - ### Artigos @@ -1152,131 +1152,131 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [Java - Sockets - Introduction (video)](https://www.youtube.com/watch?v=6G_W54zuadg&t=6s) (Java - Sockets - Introdução - vídeo) - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) (Programação de Socket - vídeo) -## System Design, Scalability, Data Handling -- **You can expect system design questions if you have 4+ years of experience.** -- Scalability and System Design are very large topics with many topics and resources, since - there is a lot to consider when designing a software/hardware system that can scale. - Expect to spend quite a bit of time on this. -- Considerations: - - scalability - - Distill large data sets to single values - - Transform one data set to another - - Handling obscenely large amounts of data - - system design - - features sets +## Design de Sistema, Escalabilidade, Tratamento de Dados +- **Você pode esperar que façam perguntas à respeito de design de sistema se você tem mais de 4 anos de experiência.** +- Escalabilidade e Design de Sistema são temas bem grandes com muitos tópicos e recursos, já que + há muito a se considerar quando se projeta um sistema de software/hardware que pode escalar. + Se prepare para gastar um bom tempo nisso. +- Considerações: + - escalabilidade + - Refinar grandes conjuntos de dados para valores únicos + - Transformar um conjunto de dados em outro + - Tratar quantidades incrivelmente grande de dados + - design de sistema + - conjuntos de características - interfaces - - class hierarchies - - designing a system under certain constraints - - simplicity and robustness - - tradeoffs - - performance analysis and optimization -- [ ] **START HERE**: [The System Design Primer]https://github.com/donnemartin/system-design-primer) -- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) -- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) -- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) -- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) -- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) -- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below. -- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) -- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) -- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) -- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) -- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) -- [ ] Paxos Consensus algorithm: - - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM) - - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) - - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) -- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) -- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html) -- [ ] Scalability: - - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4) - - [ ] Short series: + - hierarquias de classes + - projetar um sistema sob certas restrições + - simplicidade e robustez + - perde-e-ganhas (tradeoffs) + - otimização e análise de desempenho +- [ ] **COMEÇE AQUI**: [The System Design Primer]https://github.com/donnemartin/system-design-primer) (A Base de Design de Sistema) +- [ ] [System Design from HiredInTech](http://www.hiredintech.com/system-design/) (Design de Sistema, por HiredInTech) +- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023) (Como Eu Me Preparo Para Responder Questõs De Design De Sistemas Em Uma Entrevista Técnica) +- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/) (8 Coisas Que Você Precisa Saber Antes De Uma Entrevista De Design De Sistema) +- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/) (Design de algoritmo) +- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM) (Normalização de Banco de Dados - 1NF, 2NF, 3NF e 4NF - vídeo) +- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) (Entrevista de Design de Sistema) - Tem vários recursos nesse aqui. Olhe os artigos e exemplos. Eu coloquei alguns deles abaixo. +- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/) (Como tirar de letra um entrevista de design de sistemas) +- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/) (Números Que Todos Devem Conhecer) +- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html) (Quanto tempo leva para fazer uma troca de contexto?) +- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk) (Transações Através de Datacenters - vídeo) +- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/) (Uma introdução à Teorema CAP em Inglês simples) +- [ ] Algoritmo de Consenso de Paxos: + - [vídeo curto](https://www.youtube.com/watch?v=s8JqcZtvnsM) + - [vídeo mais extenso com exemplos de uso e multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o) + - [artigo](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf) +- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html) (Hashing Consistente) +- [ ] [Padrões de NoSQL](http://horicky.blogspot.com/2009/11/nosql-patterns.html) +- [ ] Escalabilidade: + - [ ] [Ótima visão geral (vídeo)](https://www.youtube.com/watch?v=-W9F__D3oY4) + - [ ] Série curta: - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones) - - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) + - [Banco de Dados](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database) - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache) - - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) - - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) - - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) - - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) - - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) - - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) - - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) - - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) - - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) - - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) + - [Assincronismo](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism) + - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html) (Sistemas Distribuídos e Arquitetura Web Escaláveis) + - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf) (Falácias de Computação Distribuída Explicadas) + - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html) (Técnicas Pragmáticas de Programação) + - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html) (extra: Processador de Grafos Pregel da Google) + - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI) (Jeff Dean - Construindo Sistemas de Software Na Google e Lições Aprendidas - vídeo) + - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/) (Introdução à Arquitetando SIstemas para Escalar) + - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc) (Escalando jogos mobile para uma audiência global usando App Engine e Armazenamento de Dados na Nuvem - vídeo) + - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0) (Como a Google faz Engenharia de Escala-Global para Infraestrutura de Escala Global - vídeo) + - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/) (A Importância de Algoritmos) - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html) - - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) - - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) - - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) - - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) - - [video](https://www.youtube.com/watch?v=G-lGCC4KKok) - - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) - - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) - - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) - - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) - - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) - - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) - - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) - - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) + - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook) (Escalabilidade no Facebook - 2009) + - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU) (Escalabilidade no Facebook - 2012, "Construindo para Bilhões de Usuários" - vídeo) + - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4) (Engenharia à longo prazo - Ideia Central de Astrid Atkinson - vídeo) + - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html) (7 Anos de Lições de Escalabilidade do YouTube em 30 minutos) + - [vídeo](https://www.youtube.com/watch?v=G-lGCC4KKok) + - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html) (Como PayPal Escalou Para BIlhões De Transações Diárias Usando Apenas 8 Máquinas Virtuais) + - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/) (Como Remover Duplicatas em Grandes Conjuntos de Dados) + - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o) (Uma olhada por dentro da cultura de engenharia e escala da Etsy com Jon Cowie - vídeo) + - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/) (O Que Levou a Amazon à ter a Própria Arquitetura de Microserviços) + - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/) (Comprimir Ou Não Comprimir, Essa Era A Questão Para A Uber) + - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html) (Fila Asyncio Tarantool, Entre Na Fila) + - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html) (Quando Processamento de Consultas Aproximado Deve Ser Usado?) + - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html) (Transição da Google de um Único Datacenter, Para Um Failover (tolerância à falhas), Para Uma Arquitetura Nativa Multihomed (ou Multiconectada)) - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html) - - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) - - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) - - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) - - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) - - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) - - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) - - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) - - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) - - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) - - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) - - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) - - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) - - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html) - - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) - - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) - - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) - - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) - - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) - - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) - - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) - - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) - - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together + - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html) (Arquitetura Egnyte: Lições Aprendidas Ao Construir E Escalar Uma Sistema Distribuído de Múltiplos Petabytes) + - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html) (Programação Orientada por Aprendizado de Máquina: Uma Nova Programação Para Um Novo Mundo) + - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html) (A Tecnologia De Otimização De Imagem Que Atende Milhões de Solicitações Por Dia) + - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html) (Arquitetura Patreon Resumida) + - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html) (Tinder: Como Um Dos Maiores Motores de Recomendação Decide A Próxima Pessoa Que Você Vai Ver?) + - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html) (Design De Um Cache Moderno) + - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html) (Stream Ao Vivo Ao Nível De Escala Do Facebook) + - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html) (Uma Guia de Iniciante Para Escalar Para Mais De 11 Milhões De Usuários No AWS Da Amazon) + - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html) (Como O Uso de Docker Afeta Latência?) + - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html) (A AMP Contesta Uma Ameaça Existencial à Google?) + - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html) (Uma Visão Em 360 Graus De Todo O Stack Da Netflix) + - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it) (Latência Está Em Todo Lugar E Ela Te Custa Vendas - Como Acabar Com Ela) + - [ ] [Serverless (bem longo, precisa apenas da essência)](http://martinfowler.com/articles/serverless.html) (Sem Servidor) + - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances) (O Que Alimenta O Instagram: Centenas de Instâncias, Dezenas de Tecnologias) + - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html) (Arquitetura Cinchcast - Produzindo 1.500 Horas De Áudio Todo Dia) + - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html) (Arquitetura de Transmissão de Vídeo Ao Vivo da Justin.TV) + - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html) (Arquitetura de Gaming Social da Playfish - 50 Milhões De Usuários Mensais E Crescendo) + - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html) (Arquitetura do TripAdvisor - 40M visitantes, 200M Visualizações de Páginas Dinâmicas, 30TB de Dados) + - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture) (Arquitetura do PlentyOfFish) + - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html) (Arquitetura do Salesforce - Como Eles Lidam Com 1,3 Bilhões de Transações Por Dia) + - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html) (Arquitetura da ESPN em Escala - Operando a 100.000 Duh Nuh Nuhs Por Segundo) + - [ ] Veja a seção "Envio de Mensagens, Serialização, e Sistemas de Enfileiramento" bem abaixo para informações sobre algumas das tecnologias que podem "colar" serviços juntos - [ ] Twitter: - - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. -- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) - - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) - - flow: - 1. Understand the problem and scope: - - define the use cases, with interviewer's help - - suggest additional features - - remove items that interviewer deems out of scope - - assume high availability is required, add as a use case - 2. Think about constraints: - - ask how many requests per month - - ask how many requests per second (they may volunteer it or make you do the math) - - estimate reads vs. writes percentage - - keep 80/20 rule in mind when estimating - - how much data written per second - - total storage required over 5 years - - how much data read per second - 3. Abstract design: - - layers (service, data, caching) - - infrastructure: load balancing, messaging - - rough overview of any key algorithm that drives the service - - consider bottlenecks and determine solutions - - Exercises: - - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) - - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) - - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) - - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) - - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) - - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) - - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) - - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) + - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) (O'Reilly MySQL CE 2011: Jeremy Cole, "Dados Grandes e Pequenos no @Twitter" - vídeo) + - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) (Linhas de Tempo em Escala) + - Para ainda mais informações, veja a série de vídeos "Minerando Conjuntos de Dados Massivos" na seção de [Séries de Vídeos](#séries-de-vídeos). +- [ ] Praticando o processo de design de sistema: Aqui estão algumas ideias para tentar trabalhar no papel, cada uma com documentação sobre como ela foi tratada no mundo real: + - revisão: [The System Design Primer](https://github.com/donnemartin/system-design-primer) (A Base de Design de Sistema) + - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) (Design de Sistema, por HiredInTech) + - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf) (folha de consultas) + - fluxo: + 1. Compreenda o problema e seu escopo: + - defina os casos de uso, com a ajuda do entrevistador + - sugira funcionalidades adicionais + - remova itens que o entrevistador considera fora de escopo + - assuma que alta disponibilidade é requisitada, adicione como um caso de uso + 2. Pense sobre as restrições: + - pergunte quantas solicitações por mês + - pergunte quantas solicitações por segundo (eles podem se voluntariar para essa ou estimular você a fazer os cálculos) + - estime a percentagem de leituras vs. escritas + - tenha a regra 80/20 em mente quando estiver estimando + - quantos dados escritos por segundo + - armazenamento total necessário para 5 anos + - quantos dados lidos por segundo + 3. Design abstrato: + - camadas (serviço, dados, caching) + - infraestrutura: balanço de carga, envio de mensagens + - breve descrição de qualquer algoritmo chave que movimenta o serviço + - considere possíveis gargalos (bottleneck) e determine soluções + - Exercícios: + - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci) (Projete uma rede CDN: artigo antigo) + - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake) (Projete um sistema de geração IDs únicos aleatórios) + - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html) (Projete um jogo de cartas de multijogadores online) + - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis) (Projete um banco de dados de chave-valor) + - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html) (Projete um sistema de compartilhamento de fotos) + - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf) (Projete um sistema de recomendação) + - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/) (Projete um sistema de encurtador de URL: copiado de cima) + - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/) (Projete um sistema de cache) --- @@ -1582,7 +1582,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) -- ### Messaging, Serialization, and Queueing Systems +- ### Envio de Mensagens, Serialização, e Sistemas de Enfileiramento - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) @@ -1872,7 +1872,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) -## Video Series +## Séries de Vídeos Sit back and enjoy. "Netflix and skill" :P @@ -1932,7 +1932,7 @@ Sit back and enjoy. "Netflix and skill" :P - [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) -- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) +- [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) (Minerando Conjuntos de Dados Massivos - Universidade de Stanford - 94 vídeos) - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) From 9d3b005ccc08c3ca7d5810807ee1e14aaa515dbe Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 11:30:06 -0300 Subject: [PATCH 187/236] updated translation --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 79f6be949b..a2214e12fa 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1153,7 +1153,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [Socket Programming (video)](https://www.youtube.com/watch?v=G75vN2mnJeQ) (Programação de Socket - vídeo) ## Design de Sistema, Escalabilidade, Tratamento de Dados -- **Você pode esperar que façam perguntas à respeito de design de sistema se você tem mais de 4 anos de experiência.** +- **Você pode presumir que façam perguntas à respeito de design de sistema se você tem mais de 4 anos de experiência.** - Escalabilidade e Design de Sistema são temas bem grandes com muitos tópicos e recursos, já que há muito a se considerar quando se projeta um sistema de software/hardware que pode escalar. Se prepare para gastar um bom tempo nisso. From f4a5f66e938525c4ee3336da4a00681435efc083 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 11:34:08 -0300 Subject: [PATCH 188/236] added hyperlink to video series --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d2af6c0af2..32a9e6417b 100644 --- a/README.md +++ b/README.md @@ -1273,7 +1273,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - For even more, see "Mining Massive Datasets" video series in the Video Series section. + - For even more, see "Mining Massive Datasets" video series in the [Video Series](#video-series) section. - [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world: - review: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) From 55f8934c0d40dea28e94fe3214537c272510d6bc Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 15:01:23 -0300 Subject: [PATCH 189/236] updated translation, closes #16 --- translations/README-ptbr.md | 58 ++++++++++++++++++------------------- 1 file changed, 29 insertions(+), 29 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index a2214e12fa..cbb5a2a6ee 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -91,7 +91,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Extremidade (ordenação) (ou "endianness" em Inglês)](#extremidade-ordenação-ou-endianness-em-inglês) - [Redes](#redes) - [Design de Sistema, Escalabilidade, Tratamento de Dados](#design-de-sistema-escalabilidade-tratamento-de-dados) (se você tem mais de 4 anos de experiência) -- [Final Review](#final-review) +- [Revisão Final](#revisão-final) - [Coding Question Practice](#coding-question-practice) - [Coding exercises/challenges](#coding-exerciseschallenges) - [Once you're closer to the interview](#once-youre-closer-to-the-interview) @@ -1280,41 +1280,41 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li --- -## Final Review +## Revisão Final Essa seção terá vídeos mais curtos que você pode assistir rapidamente para revisar a maioria dos conceitos importantes. É legal se você quiser dar uma refrescada na memória. -- [ ] Series of 2-3 minutes short subject videos (23 videos) - - [Videos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) -- [ ] Series of 2-5 minutes short subject videos - Michael Sambol (18 videos): - - [Videos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) -- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) +- [ ] Séries de vídeos curtos (2 - 3 minutos) sobre o assunto (23 vídeos) + - [Vídeos](https://www.youtube.com/watch?v=r4r1DZcx1cM&list=PLmVb1OknmNJuC5POdcDv5oCS7_OUkDgpj&index=22) +- [ ] Séries de vídeos curtos (2 - 5 minutos) sobre o assunto - Michael Sambol (18 vídeos): + - [Vídeos](https://www.youtube.com/channel/UCzDJwLWoYCUQowF_nG3m5OQ) +- [ ] [Sedgewick Videos - Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=2&view=50&sort=dd) (Vídeos de Sedgewick - Algoritmos I) - [ ] [01. Union-Find](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) - - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) - - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) + - [ ] [02. Analysis of Algorithms](https://www.youtube.com/watch?v=ZN-nFW0mEpg&list=PLe-ggMe31CTf0_bkOhh7sa5uqeppp3Sr0) (Análises de Algoritmos) + - [ ] [03. Stacks and Queues](https://www.youtube.com/watch?v=TIC1gappbP8&list=PLe-ggMe31CTe-9jhnj3P_3mmrCh0A7iHh) (Memórias Estáticas e Filas) + - [ ] [04. Elementary Sorts](https://www.youtube.com/watch?v=CD2AL6VO0ak&list=PLe-ggMe31CTe_5WhGV0F--7CK8MoRUqBd) (Ordenações Elementares) - [ ] [05. Mergesort](https://www.youtube.com/watch?v=4nKwesx_c8E&list=PLe-ggMe31CTeunC6GZHFBmQx7EKtjbGf9) - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) - - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) - - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) - - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) -- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) - - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) - - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) - - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) - - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) - - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) - - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) - - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) - - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) - - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) - - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) - - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) - - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) - - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) + - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) (Filas Prioritárias) + - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) (Tabelas de Símbolos Elementares) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) (Árvores de Busca Balanceada) + - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) (Aplicações Geométricas de Árvores de Busca Balanceada) + - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) (Tabelas Hash) +- [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) (Vídeos de Sedgewick - Algoritmos II) + - [ ] [01. Undirected Graphs](https://www.youtube.com/watch?v=GmVhD-mmMBg&list=PLe-ggMe31CTc0zDzANxl4I2MhMoRVlbRM) (Grafos Não Direcionados) + - [ ] [02. Directed Graphs](https://www.youtube.com/watch?v=_z-JsVaUS40&list=PLe-ggMe31CTcEwaU8a1P1Gd95A77HV85K) (Grafos Direcionados) + - [ ] [03. Minimum Spanning Trees](https://www.youtube.com/watch?v=t8fNk9tfVYY&list=PLe-ggMe31CTceUZxDesGfHGLE7kcSafqj) (Árvores de Extensão Mínima) + - [ ] [04. Shortest Paths](https://www.youtube.com/watch?v=HoGSiB7tSeI&list=PLe-ggMe31CTePpG3jbeOTsnGUGZDKxgZD) (Menores Caminhos) + - [ ] [05. Maximum Flow](https://www.youtube.com/watch?v=rYIKlFstBqE&list=PLe-ggMe31CTduQ68XQ-sVj32wYJIspTma) (Fluxo Máximo) + - [ ] [06. Radix Sorts](https://www.youtube.com/watch?v=HKPrVm5FWvg&list=PLe-ggMe31CTcNvUX9E3tQeM6ntrdR8e53) (Ordenações Radix) + - [ ] [07. Tries](https://www.youtube.com/watch?v=00YaFPcC65g&list=PLe-ggMe31CTe9IyG9MB8vt5xUJeYgOYRQ) (Árvore de Prefixos) + - [ ] [08. Substring Search](https://www.youtube.com/watch?v=QzI0p6zDjK4&list=PLe-ggMe31CTdAdjXB3lIuf2maubzo9t66) (Busca de Substring) + - [ ] [09. Regular Expressions](https://www.youtube.com/watch?v=TQWNQsJSPnk&list=PLe-ggMe31CTetTlJWouM42fyttyKPgSDh) (Expressões Regulares) + - [ ] [10. Data Compression](https://www.youtube.com/watch?v=at9tjpxcBh8&list=PLe-ggMe31CTciifRRo6yY0Yt0mzgIXXVZ) (Compressão de Dados) + - [ ] [11. Reductions](https://www.youtube.com/watch?v=Ow5x-ooMGv8&list=PLe-ggMe31CTe_yliW5vc3yO-dj1LSSDyF) (Reduções) + - [ ] [12. Linear Programming](https://www.youtube.com/watch?v=rWhcLyiLZLA&list=PLe-ggMe31CTdy6dKzMgkWFuTTN1H8B-E1) (Programação Linear) + - [ ] [13. Intractability](https://www.youtube.com/watch?v=6qcaaDp4cdQ&list=PLe-ggMe31CTcZCjluBHw53e_ek2k9Kn-S) (Intratabilidade) --- From c485a1ac20dd1fa606191e514e8465e5da1320fe Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 15:33:54 -0300 Subject: [PATCH 190/236] updated translation, closes #17 --- translations/README-ptbr.md | 56 ++++++++++++++++++------------------- 1 file changed, 28 insertions(+), 28 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index cbb5a2a6ee..791362159c 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1318,45 +1318,45 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li --- -## Coding Question Practice +## Prática com Questões de Programação -Now that you know all the computer science topics above, it's time to practice answering coding problems. +Agora que você sabe todos os temas de Ciência da Computação acima, é hora de praticar respondendo problemas de programação. -**Coding question practice is not about memorizing answers to programming problems.** +**Prática com Questõs de Programação não é sobre memorizar respostas para problemas de programação.** -Why you need to practice doing programming problems: -- problem recognition, and where the right data structures and algorithms fit in -- gathering requirements for the problem -- talking your way through the problem like you will in the interview -- coding on a whiteboard or paper, not a computer -- coming up with time and space complexity for your solutions -- testing your solutions +Por que você precisa praticar com problemas de programação: +- reconhecimento de problemas, e onde as devidas estruturas de dados e algoritmos se encaixam +- coleta de requerimentos para o problema +- pensar alto (falar enquanto resolve o problema) assim como você irá fazer em uma entrevista +- escrever código em um quadro branco ou papel, não no computador +- encontrar complexidade de espaço e tempo para suas soluções +- testar suas soluções -There is a great intro for methodical, communicative problem solving in an interview. You'll get this from the programming -interview books, too, but I found this outstanding: -[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) +Tem uma introdução ótima para resolução de problema metódica e comunicativa em uma entrevista. Você vai adquirir isso dos livros de +entrevista de programação, também, mas eu acho isso aqui excelente: +[Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) (Quadro de design de algoritmo) -No whiteboard at home? That makes sense. I'm a weirdo and have a big whiteboard. Instead of a whiteboard, pick up a -large drawing pad from an art store. You can sit on the couch and practice. This is my "sofa whiteboard". -I added the pen in the photo for scale. If you use a pen, you'll wish you could erase. Gets messy quick. +Não tem quadro branco em casa? Faz sentido. Eu sou um estranho e tenho um grande quadro branco. Ao invés de um quadro branco, pegue um +grande caderno de desenho de uma loja de arte. Você pode sentar no sofá e praticar. Esse é o meu "sofá de quadrobranco". +Eu adicionei a caneta na foto para comparação de dimensões. Se você usar uma caneta, você vai desejar que você pudesse apagar. Fica uma bagunça bem rápido. -![my sofa whiteboard](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) + ![meu sofá de quadro branco](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) -Supplemental: +Suplementar: -- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) -- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) -- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) -- [Exercises for getting better at a given language](http://exercism.io/languages) +- [Mathematics for Topcoders](https://www.topcoder.com/community/data-science/data-science-tutorials/mathematics-for-topcoders/) (Matemática para Topcoders) +- [Dynamic Programming – From Novice to Advanced](https://www.topcoder.com/community/data-science/data-science-tutorials/dynamic-programming-from-novice-to-advanced/) (Programação Dinâmica - De Novato a Avançado) +- [MIT Interview Materials](https://web.archive.org/web/20160906124824/http://courses.csail.mit.edu/iap/interview/materials.php) (Materiais de Entrevista do MIT) +- [Exercises for getting better at a given language](http://exercism.io/languages) (Exercícios para ficar melhor em uma determinada linguagem) -**Read and Do Programming Problems (in this order):** +**Leia e Faça os Problemas de Programação (nessa ordem):** -- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - - answers in C, C++ and Java -- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - - answers in Java +- [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) (Entrevistas de Programação Expostas: Segredos para Conseguir Seu Próximo Emprego, 2ª Edição) + - respostas em C, C++ e Java +- [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) (Decifrando a Entrevista de Programação, 6ª Edição) + - respostas em Java -See [Book List above](#book-list) +Veja a [Lista de Livros acima](#lista-de-livros) ## Coding exercises/challenges From f5e140cab47bcc5fef9ceed7d0c23b613fd9afae Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 9 Jun 2017 15:36:26 -0300 Subject: [PATCH 191/236] updated translation --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 791362159c..ec92759601 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -92,7 +92,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Redes](#redes) - [Design de Sistema, Escalabilidade, Tratamento de Dados](#design-de-sistema-escalabilidade-tratamento-de-dados) (se você tem mais de 4 anos de experiência) - [Revisão Final](#revisão-final) -- [Coding Question Practice](#coding-question-practice) +- [Prática com Questões de Programação](#prática-com-questões-de-programação) - [Coding exercises/challenges](#coding-exerciseschallenges) - [Once you're closer to the interview](#once-youre-closer-to-the-interview) - [Your Resume](#your-resume) From 0a940f511e9cecd2138fdb629604acf9deeb38cf Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 10 Jun 2017 11:51:40 -0300 Subject: [PATCH 192/236] updated translation, closes #18 #19 #20 #21 #22 #23 --- translations/README-ptbr.md | 150 ++++++++++++++++++------------------ 1 file changed, 75 insertions(+), 75 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index ec92759601..f206a90364 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -93,16 +93,16 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Design de Sistema, Escalabilidade, Tratamento de Dados](#design-de-sistema-escalabilidade-tratamento-de-dados) (se você tem mais de 4 anos de experiência) - [Revisão Final](#revisão-final) - [Prática com Questões de Programação](#prática-com-questões-de-programação) -- [Coding exercises/challenges](#coding-exerciseschallenges) -- [Once you're closer to the interview](#once-youre-closer-to-the-interview) -- [Your Resume](#your-resume) -- [Be thinking of for when the interview comes](#be-thinking-of-for-when-the-interview-comes) -- [Have questions for the interviewer](#have-questions-for-the-interviewer) -- [Once You've Got The Job](#once-youve-got-the-job) +- [Exercícios/desafios de programação](#exercíciosdesafios-de-programação) +- [Quando a entrevista estiver se aproximando](#quando-a-entrevista-estiver-se-aproximando) +- [Seu Currículo](#seu-currículo) +- [Esteja pensando à respeito para quando a entrevista chegar](#esteja-pensando-à-respeito-para-quando-a-entrevista-chegar) +- [Tenha questões para o entrevistador](#tenha-questões-para-o-entrevistador) +- [Quando Você Conseguir O Trabalho](#quando-você-conseguir-o-trabalho) ---------------- Tudo abaixo é opcional ---------------- -- [Additional Books](#additional-books) +- [Livros Adicionais](#livros-adicionais) - [Additional Learning](#additional-learning) - [Compilers](#compilers) - [Emacs and vi(m)](#emacs-and-vim) @@ -1337,7 +1337,7 @@ entrevista de programação, também, mas eu acho isso aqui excelente: [Algorithm design canvas](http://www.hiredintech.com/algorithm-design/) (Quadro de design de algoritmo) Não tem quadro branco em casa? Faz sentido. Eu sou um estranho e tenho um grande quadro branco. Ao invés de um quadro branco, pegue um -grande caderno de desenho de uma loja de arte. Você pode sentar no sofá e praticar. Esse é o meu "sofá de quadrobranco". +grande caderno de desenho de uma loja de arte. Você pode sentar no sofá e praticar. Esse é o meu "sofá de quadro branco". Eu adicionei a caneta na foto para comparação de dimensões. Se você usar uma caneta, você vai desejar que você pudesse apagar. Fica uma bagunça bem rápido. ![meu sofá de quadro branco](https://dng5l3qzreal6.cloudfront.net/2016/Oct/art_board_sm_2-1476233630368.jpg) @@ -1358,22 +1358,22 @@ Suplementar: Veja a [Lista de Livros acima](#lista-de-livros) -## Coding exercises/challenges +## Exercícios/desafios de programação -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. +Depois que você enche o cérebro com novos aprendizados, é hora de botar ele para trabalhar. +Faça desafios de programação todo dia, o máximo que você puder. -- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) -- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) +- [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) (Como Encontrar Uma Solução) +- [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) (Como Dissecar Uma Declaração em um Problema do TopCoder) -Coding Interview Question Videos: -- [IDeserve (88 videos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) +Vídeos de Questões de Entrevista de Programação: +- [IDeserve (88 vídeos)](https://www.youtube.com/watch?v=NBcqBddFbZw&list=PLamzFoFxwoNjPfxzaWqs7cZGsPYy0x_gI) - [Tushar Roy (5 playlists)](https://www.youtube.com/user/tusharroy2525/playlists?shelf_id=2&view=50&sort=dd) -Challenge sites: +Websites de desafios: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) -- [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) +- [Project Euler (focado em matemática)](https://projecteuler.net/index.php?section=problems) - [Codewars](http://www.codewars.com) - [HackerEarth](https://www.hackerearth.com/) - [HackerRank](https://www.hackerrank.com/) @@ -1383,92 +1383,92 @@ Challenge sites: - [InterviewBit](https://www.interviewbit.com/invite/icjf) - [Sphere Online Judge (spoj)](http://www.spoj.com/) -Challenge repos: -- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) +Repositórios de desafios: +- [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) (Desafios Interativos de Entrevista de Programação em Python) -Mock Interviews: -- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) -- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) -- [Refdash: Mock interviews](https://refdash.com/) +Entrevistas Simuladas: +- [Gainlo.co: Entrevistas simuladas com entrevistadores de grandes empresas](http://www.gainlo.co/) +- [Pramp: Entrevistas simuladas com colegas](https://www.pramp.com/) +- [Refdash: Entrevistas simuladas](https://refdash.com/) -## Once you're closer to the interview +## Quando a entrevista estiver se aproximando -- [ ] Cracking The Coding Interview Set 2 (videos): - - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) +- [ ] Decifrando A Entrevista De Programação Série 2 (vídeos): + - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) (Decifrando A Entrevista De Programação) + - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) (Decifrando A Entrevista De Programação - Série Palestrantes Fullstack) -## Your Resume +## Seu Currículo -- See Resume prep items in Cracking The Coding Interview and back of Programming Interviews Exposed +- Veja itens sobre preparo de currículo em "Cracking The Coding Interview" (Decifrando A Entrevista De Programação) e atrás do livro "Programming Interviews Exposed" (Entrevistas de Programação Expostas) -## Be thinking of for when the interview comes +## Esteja pensando à respeito para quando a entrevista chegar -Think of about 20 interview questions you'll get, along with the lines of the items below. Have 2-3 answers for each. -Have a story, not just data, about something you accomplished. +Pense em 20 questões da entrevista que você vai ter, seguindo a linha de raciocínio dos itens abaixo. Tenha 2-3 respostas para cada. +Tenha uma história, não apenas dados, sobre algo que você realizou. -- Why do you want this job? -- What's a tough problem you've solved? -- Biggest challenges faced? -- Best/worst designs seen? -- Ideas for improving an existing product. -- How do you work best, as an individual and as part of a team? -- Which of your skills or experiences would be assets in the role and why? -- What did you most enjoy at [job x / project y]? -- What was the biggest challenge you faced at [job x / project y]? -- What was the hardest bug you faced at [job x / project y]? -- What did you learn at [job x / project y]? -- What would you have done better at [job x / project y]? +- Por que você quer esse trabalho? +- Qual um problema difícil que você tenha resolvido? +- Maiores desafios enfrentados? +- Melhores/piores designs que você já viu? +- Ideias para melhorar um produto existente. +- Como você trabalha melhor, como um indivíduo e como parte de uma equipe? +- Quais das suas habilidades ou experiências seriam recursos úteis na função e por quê? +- O que você mais gostou no [trabalho x / projeto y]? +- Qual foi o maior desafio que você enfrentou no [trabalho x / projeto y]? +- Qual foi o bug mais difícil que você enfrentou no [trabalho x / projeto y]? +- O que você aprendeu no [trabalho x / projeto y]? +- O que você teria feito melhor no [trabalho x / projeto y]? -## Have questions for the interviewer +## Tenha questões para o entrevistador - Some of mine (I already may know answer to but want their opinion or team perspective): + Algumas das minhas (eu posso já saber a resposta, mas o quero a opinião deles ou a perspectiva da equipe): -- How large is your team? -- What does your dev cycle look like? Do you do waterfall/sprints/agile? -- Are rushes to deadlines common? Or is there flexibility? -- How are decisions made in your team? -- How many meetings do you have per week? -- Do you feel your work environment helps you concentrate? -- What are you working on? -- What do you like about it? -- What is the work life like? +- Quão grande é sua equipe? +- Como é o seu ciclo de desenvolvimento? Você trabalha com modelo em cascata (waterfall)/sprints/método ágil (agile)? +- Correrias por causa de prazos são comuns? Ou tem flexibilidade? +- Como as decisões são tomadas na sua equipe? +- Quantas reuniões você tem por semana? +- Você sente que o seu ambiente de trabalho te ajuda a se concentrar? +- No que você está trabalhando? +- O que você gosta a respeito desse trabalho? +- Como é o balanço vida-trabalho? -## Once You've Got The Job +## Quando Você Conseguir O Trabalho -Congratulations! +Parabéns! -Keep learning. +Continue aprendendo. -You're never really done. +Você nunca para. --- ***************************************************************************************************** ***************************************************************************************************** - Everything below this point is optional. - By studying these, you'll get greater exposure to more CS concepts, and will be better prepared for - any software engineering job. You'll be a much more well-rounded software engineer. + Tudo abaixo deste ponto é opcional. + Ao estudar o que vem a seguir, você vai ter maior exposição a mais conceitos de Ciência da Computação, e está mais bem preparado para + qualquer trabalho de engenharia de software. Você será um engenheiro de software muito mais completo. ***************************************************************************************************** ***************************************************************************************************** --- -## Additional Books - -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) - - an oldie but a goodie -- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - - a modern option -- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) -- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) - - a gentle introduction to design patterns -- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) - - aka the "Gang Of Four" book, or GOF - - the canonical design patterns book -- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) +## Livros Adicionais + +- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) (O Ambiente De Programação Unix) + - velho, mas ótimo +- [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) (A Linha De Comando do Linux: Uma Introdução Completa) + - uma opção moderna +- [ ] [TCP/IP Illustrated Series](https://en.wikipedia.org/wiki/TCP/IP_Illustrated) (Série TCP/IP Ilustrado) +- [ ] [Head First Design Patterns](https://www.amazon.com/gp/product/0596007124/) (Padrões de Design "Head First") + - uma introdução gentil a padrões de design +- [ ] [Design Patterns: Elements of Reusable Object-Oriente​d Software](https://www.amazon.com/Design-Patterns-Elements-Reusable-Object-Oriented/dp/0201633612) (Padrões de Design: Elementos de Software Orientado a Objetos Reutilizável) + - também conhecido como o livro "Gang Of Four" (ou GOF, em Português Gangue Dos Quatro) + - o livro de padrões de design canônico +- [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) (Manual de Administração de Sistema do UNIX e Linux, 4ª Edição) ## Additional Learning From 2d7c307696518880fb093da54f17cbcbfff0d668 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 10 Jun 2017 12:03:16 -0300 Subject: [PATCH 193/236] updated translation --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index f206a90364..70926bf58c 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1440,7 +1440,7 @@ Parabéns! Continue aprendendo. -Você nunca para. +O aprendizado nunca para. --- From 3cc03c81a2c263ca5614d8ddc47a2e906b41a536 Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sat, 10 Jun 2017 21:34:06 +0100 Subject: [PATCH 194/236] Adds series-de-video link --- translations/README-es.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-es.md b/translations/README-es.md index 52e30efc60..a02cd37196 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -874,7 +874,7 @@ Los grafos pueden ser usados para representar muchos problemas en las Ciencias d - [ ] Lista de componentes fuertemente conectados - [ ] Verificación de grafo bipartito - + Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros debajo) y en los libros de entrevistas ## Más información adicional @@ -976,7 +976,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] [Probability Explained (video)](https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19) - ### NP, NP-Completo y Algoritmos de aproximación - - Conozca acerca de las clases más famosas de problemas de NP-completo, tales como el vendedor ambulante y el problema de la mochila y sea capaz de reconocerlos cuando un entrevistador se los pide disfrazados. + - Conozca acerca de las clases más famosas de problemas de NP-completo, tales como el vendedor ambulante y el problema de la mochila y sea capaz de reconocerlos cuando un entrevistador se los pide disfrazados. - Conozca que significa NP-completo. - [ ] [Computational Complexity (video)](https://www.youtube.com/watch?v=moPtwq_cVH8&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=23) - [ ] Simonson: @@ -1251,7 +1251,7 @@ Obtendrá más práctica de grafos en el libro de Skiena (vea Sección de libros - [ ] Twitter: - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI) - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability) - - Para aún más, vea la serie de videos "Mining Massive Datasets" en la sección de Series de video. + - Para aún más, vea la serie de videos "Mining Massive Datasets" en la sección de [Series de video](#series-de-videos). - [ ] Practicando el proceso de diseño del sistema: Aquí hay algunas ideas para tratar de trabajar en papel, cada una con cierta documentación sobre cómo se manejó en el mundo real: - Revisión: [The System Design Primer](https://github.com/donnemartin/system-design-primer) - [System Design from HiredInTech](http://www.hiredintech.com/system-design/) @@ -1575,7 +1575,7 @@ Es probable que estos temas no aparezcan en una entrevista, pero los añadí par - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) -- ### Programación en paralelo +- ### Programación en paralelo - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) From 6b03dcded3d60e400853afa40eb4d092a9ce4a7a Mon Sep 17 00:00:00 2001 From: Dan Ossorio Date: Sat, 10 Jun 2017 21:39:53 +0100 Subject: [PATCH 195/236] Removes a video that is no longer available --- translations/README-es.md | 1 - 1 file changed, 1 deletion(-) diff --git a/translations/README-es.md b/translations/README-es.md index a02cd37196..907843bd52 100644 --- a/translations/README-es.md +++ b/translations/README-es.md @@ -1397,7 +1397,6 @@ Bosquejos de entrevista: - [ ] Cracking The Coding Interview Set 2 (videos): - [Cracking The Code Interview](https://www.youtube.com/watch?v=4NIb9l3imAo) - [Cracking the Coding Interview - Fullstack Speaker Series](https://www.youtube.com/watch?v=Eg5-tdAwclo) - - [Ask Me Anything: Gayle Laakmann McDowell (author of Cracking the Coding Interview)](https://www.youtube.com/watch?v=1fqxMuPmGak) ## Su CV From ea9046a9f7863c6678521b29bc6f436fe38a044f Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sat, 10 Jun 2017 18:11:39 -0300 Subject: [PATCH 196/236] updated translation, progress on #25 --- translations/README-ptbr.md | 257 ++++++++++++++++++------------------ 1 file changed, 128 insertions(+), 129 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 70926bf58c..34e6d47e41 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -124,7 +124,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [van Emde Boas Trees](#van-emde-boas-trees) - [Augmented Data Structures](#augmented-data-structures) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Balanced search trees](#balanced-search-trees) + - [Árvores balanceadas de busca](#Árvores-balanceadas-de-busca) - AVL trees - Splay trees - Red/black trees @@ -532,7 +532,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) (Código em C - vídeo) - não o vídeo inteiro, apenas as partes sobre estrutura de nodes (nós) e alocação de memória. - [ ] Listas Ligadas vs Arrays: - - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamental: Listas Ligadas vs Arrays - vídeo) + - [Core Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/rjBs9/core-linked-lists-vs-arrays) (Fundamentos de Listas Ligadas vs Arrays - vídeo) - [In The Real World Linked Lists Vs Arrays (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/QUaUd/in-the-real-world-lists-vs-arrays) (No Mundo Real: Listas Ligadas vs Arrays - vídeo) - [ ] [why you should avoid linked lists (video)](https://www.youtube.com/watch?v=YQs6IC-vgmo) (por que você deve evitar listas ligadas - vídeo) - [ ] Peguei vocês: você precisa de conhecimento de ponteiro para ponteiro: @@ -598,7 +598,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Using Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Using-hash-tables/149042/177127-4.html) (Usando Tabelas Hash - vídeo) - [ ] [Supporting Hashing (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Supporting-hashing/149042/177128-4.html) (Hashing de Suporte - vídeo) - [ ] [Language Support Hash Tables (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Language-support-hash-tables/149042/177129-4.html) (Tabelas Hash de Suporte de Linguagem - vídeo) - - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) (Fundamental: Tabelas Hash - vídeo) + - [ ] [Core Hash Tables (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/m7UuP/core-hash-tables) (Fundamentos de Tabelas Hash - vídeo) - [ ] [Data Structures (video)](https://www.coursera.org/learn/data-structures/home/week/3) (Estruturas de Dados - vídeo) - [ ] [Phone Book Problem (video)](https://www.coursera.org/learn/data-structures/lecture/NYZZP/phone-book-problem) (Problema da Lista Telefônica (vídeo) ) - [ ] tabelas hash distribuídas: @@ -652,7 +652,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input ## Árvores - ### Árvores - Anotações e Fundamentos - - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) (Série: Árvores Fundamentais - vídeo) + - [ ] [Series: Core Trees (video)](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/ovovP/core-trees) (Série: Fundamentos de Árvores - vídeo) - [ ] [Series: Trees (video)](https://www.coursera.org/learn/data-structures/lecture/95qda/trees) (Série: Árvores - vídeo) - contrução básica de árvore - transversal @@ -1298,7 +1298,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) (Filas Prioritárias) - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) (Tabelas de Símbolos Elementares) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) (Árvores de Busca Balanceada) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) (Árvores Balanceadas de Busca) - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) (Aplicações Geométricas de Árvores de Busca Balanceada) - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) (Tabelas Hash) - [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) (Vídeos de Sedgewick - Algoritmos II) @@ -1470,40 +1470,39 @@ O aprendizado nunca para. - o livro de padrões de design canônico - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) (Manual de Administração de Sistema do UNIX e Linux, 4ª Edição) -## Additional Learning +## Aprendizado Adicional -These topics will likely not come up in an interview, but I added them to help you become a well-rounded -software engineer, and to be aware of certain technologies and algorithms, so you'll have a bigger toolbox. +Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicionei eles para ajudar você a se tornar um engenheiro de software mais completo, e para você ficar ciente de certas tecnologias e algoritmos, assim você terá mais ferramentas a disposição. -- ### Compilers - - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) - - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) - - [ ] [C++ (video)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) +- ### Compiladores + - [ ] [How a Compiler Works in ~1 minute (video)](https://www.youtube.com/watch?v=IhC7sdYe-Jg) (Como um Compilador Funciona em ~1 minuto - vídeo) + - [ ] [Harvard CS50 - Compilers (video)](https://www.youtube.com/watch?v=CSZLNYF4Klo) (Harvard CS50 - Compiladores - vídeo) + - [ ] [C++ (vídeo)](https://www.youtube.com/watch?v=twodd1KFfGk) + - [ ] [Understanding Compiler Optimization (C++) (video)](https://www.youtube.com/watch?v=FnGCDLhaxKU) (Entendendo Otimização de Compilador (C++) - vídeo) -- ### Emacs and vi(m) - - Familiarize yourself with a unix-based code editor +- ### Emacs e vi(m) + - Se familiarize com um editor de código baseado em unix - vi(m): - - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) - - [VIM Adventures](http://vim-adventures.com/) - - set of 4 videos: - - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) - - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) - - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) - - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) - - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) + - [Editing With vim 01 - Installation, Setup, and The Modes (video)](https://www.youtube.com/watch?v=5givLEMcINQ&index=1&list=PL13bz4SHGmRxlZVmWQ9DvXo1fEg4UdGkr) (Editando Com vim 01 - Instalação, Setup, e Os Modos - vídeo) + - [VIM Adventures](http://vim-adventures.com/) (Aventuras em VIM) + - conjunto de 4 vídeos: + - [The vi/vim editor - Lesson 1](https://www.youtube.com/watch?v=SI8TeVMX8pk) (O editor vi/vim - Lição 1) + - [The vi/vim editor - Lesson 2](https://www.youtube.com/watch?v=F3OO7ZIOaJE) (O editor vi/vim - Lição 2) + - [The vi/vim editor - Lesson 3](https://www.youtube.com/watch?v=ZYEccA_nMaI) (O editor vi/vim - Lição 3) + - [The vi/vim editor - Lesson 4](https://www.youtube.com/watch?v=1lYD5gwgZIA) (O editor vi/vim - Lição 4) + - [Using Vi Instead of Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Using_Vi_instead_of_Emacs) (Usando Vi Ao Invés de Emacs) - emacs: - - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) - - set of 3 (videos): - - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) - - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) - - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) - - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) - - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) - - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) - -- ### Unix command line tools - - I filled in the list below from good tools. + - [Basics Emacs Tutorial (video)](https://www.youtube.com/watch?v=hbmV1bnQ-i0) (Tutorial Básico de Emas - vídeo) + - conjunto de 3 (vídeos): + - [Emacs Tutorial (Beginners) -Part 1- File commands, cut/copy/paste, cursor commands](https://www.youtube.com/watch?v=ujODL7MD04Q) (Tutorial de Emacs (Iniciantes) - Parte 1 - Comandos de Arquivo, cortar/copiar/colar, comandos de cursor) + - [Emacs Tutorial (Beginners) -Part 2- Buffer management, search, M-x grep and rgrep modes](https://www.youtube.com/watch?v=XWpsRupJ4II) (Tutorial de Emacs (Iniciantes) - Parte 2 - Gerenciamento de buffer, pesquisa, modos M-x grep e rgrep) + - [Emacs Tutorial (Beginners) -Part 3- Expressions, Statements, ~/.emacs file and packages](https://www.youtube.com/watch?v=paSgzPso-yc) (Tutorial de Emacs (Iniciantes) - Parte 3 - Expressões, Declarações, arquivo ~/. emacs e pacotes) + - [Evil Mode: Or, How I Learned to Stop Worrying and Love Emacs (video)](https://www.youtube.com/watch?v=JWD1Fpdd4Pc) (Modo Evil: Ou, Como Eu Aprendi A Parar De Me Preocupar E Amar O Emacs - vídeo) + - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) (Escrevendo Programas Em C Com Emacs) + - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) ((talvez) Análise Profunda do Modo Org: Gerenciando Estrutura - vídeo) + +- ### Ferramentas da linha de comando do Unix + - Eu preenchi a lista abaixo com boas ferramentas. - [ ] bash - [ ] cat - [ ] grep @@ -1516,130 +1515,130 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [strace](https://en.wikipedia.org/wiki/Strace) - [ ] [tcpdump](https://danielmiessler.com/study/tcpdump/) -- ### Information theory (videos) +- ### Teoria da informação (vídeos) - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/informationtheory) - - [ ] more about Markov processes: - - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) - - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) - - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) - - See more in MIT 6.050J Information and Entropy series below. - -- ### Parity & Hamming Code (videos) - - [ ] [Intro](https://www.youtube.com/watch?v=q-3BctoUpHE) - - [ ] [Parity](https://www.youtube.com/watch?v=DdMcAUlxh1M) - - [ ] Hamming Code: - - [Error detection](https://www.youtube.com/watch?v=1A_NcXxdoCc) - - [Error correction](https://www.youtube.com/watch?v=JAMLuxdHH8o) - - [ ] [Error Checking](https://www.youtube.com/watch?v=wbH2VxzmoZk) - -- ### Entropy - - also see videos below - - make sure to watch information theory videos first - - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) - -- ### Cryptography - - also see videos below - - make sure to watch information theory videos first - - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) - - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) - - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - -- ### Compression - - make sure to watch information theory videos first - - [ ] Computerphile (videos): - - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) - - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) - - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) - - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) - - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) - - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) - - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) - - [ ] [(optional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) - -- ### Computer Security - - [MIT (23 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) - - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) - - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) - - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) - -- ### Garbage collection - - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) - - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) - - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) - - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) - - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) - -- ### Parallel Programming + - [ ] mais sobre os processos de Markov: + - [ ] [Core Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation) (Fundamentos da Geração de Texto Markov) + - [ ] [Core Implementing Markov Text Generation](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation) (Fundamentos da Implementação de Geração de Texto Markov) + - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) (Projeto = Passo a Passo de Geração de Texto Markov) + - Veja mais em MIT 6.050J Série: Informação e Entropia abaixo. + +- ### Paridade e Código de Hamming + - [ ] [Introdução](https://www.youtube.com/watch?v=q-3BctoUpHE) + - [ ] [Paridade](https://www.youtube.com/watch?v=DdMcAUlxh1M) + - [ ] Código de Hamming: + - [Detecção de Erro](https://www.youtube.com/watch?v=1A_NcXxdoCc) + - [Correção de Erro](https://www.youtube.com/watch?v=JAMLuxdHH8o) + - [ ] [Verificação de Erro](https://www.youtube.com/watch?v=wbH2VxzmoZk) + +- ### Entropia + - veja também os vídeos abaixo + - certifique-se de assistir os vídeos de teoria da informação primeiro + - [ ] [Information Theory, Claude Shannon, Entropy, Redundancy, Data Compression & Bits (video)](https://youtu.be/JnJq3Py0dyM?t=176) (Teoria da Informação, Claude Shannon, Entropia, Redundância, Compressão de Dados e Bits - vídeo) + +- ### Criptografia + - veja também os vídeos abaixo + - certifique-se de assistir os vídeos de teoria da informação primeiro + - [ ] [Khan Academy Series](https://www.khanacademy.org/computing/computer-science/cryptography) (Série da Khan Academy) + - [ ] [Cryptography: Hash Functions](https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30) (Criptografia: Funções Hash) + - [ ] [Cryptography: Encryption](https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Criptografia: Encriptação) + +- ### Compressão + - certifique-se de assistir os vídeos de teoria da informação primeiro + - [ ] Computerphile (vídeos): + - [ ] [Compression](https://www.youtube.com/watch?v=Lto-ajuqW3w) (Compressão) + - [ ] [Entropy in Compression](https://www.youtube.com/watch?v=M5c_RFKVkko) (Entropia em Compressão) + - [ ] [Upside Down Trees (Huffman Trees)](https://www.youtube.com/watch?v=umTbivyJoiI) (Árvores de Cabeça para Baixo - Árvores Huffman) + - [ ] [EXTRA BITS/TRITS - Huffman Trees](https://www.youtube.com/watch?v=DV8efuB3h2g) (BITS/TRITS - Árvores Huffman) + - [ ] [Elegant Compression in Text (The LZ 77 Method)](https://www.youtube.com/watch?v=goOa3DGezUA) (Compressão Elegante em Texto - O Método LZ 77) + - [ ] [Text Compression Meets Probabilities](https://www.youtube.com/watch?v=cCDCfoHTsaU) (Compressão de Texto e Probabilidades) + - [ ] [Compressor Head videos](https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H) (Vídeos da Série Compressor Head) + - [ ] [(opcional) Google Developers Live: GZIP is not enough!](https://www.youtube.com/watch?v=whGwm0Lky2s) (Google Developers Ao Vivo: GZIP não é suficiente) + +- ### Segurança de Computador + - [MIT (23 vídeos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) + - [ ] [Introduction, Threat Models](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Introdução, Modelos de Risco) + - [ ] [Control Hijacking Attacks](https://www.youtube.com/watch?v=6bwzNg5qQ0o&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=2) (Ataques que Conseguem Tomar Controle + - [ ] [Buffer Overflow Exploits and Defenses](https://www.youtube.com/watch?v=drQyrzRoRiA&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=3) (Defesas e Exploits de Buffer Overflow) + - [ ] [Privilege Separation](https://www.youtube.com/watch?v=6SIJmoE9L9g&index=4&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Separação de Privilégio) + - [ ] [Capabilities](https://www.youtube.com/watch?v=8VqTSY-11F4&index=5&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Capacidades) + - [ ] [Sandboxing Native Code](https://www.youtube.com/watch?v=VEV74hwASeU&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh&index=6) (Isolando Código Nativo) + - [ ] [Web Security Model](https://www.youtube.com/watch?v=chkFBigodIw&index=7&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Modelo de Segurança Web) + - [ ] [Securing Web Applications](https://www.youtube.com/watch?v=EBQIGy1ROLY&index=8&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Protegendo Aplicações Web) + - [ ] [Symbolic Execution](https://www.youtube.com/watch?v=yRVZPvHYHzw&index=9&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Execução Simbólica) + - [ ] [Network Security](https://www.youtube.com/watch?v=SIEVvk3NVuk&index=11&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Segurança de Rede) + - [ ] [Network Protocols](https://www.youtube.com/watch?v=QOtA76ga_fY&index=12&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Protocolos de Rede) + - [ ] [Side-Channel Attacks](https://www.youtube.com/watch?v=PuVMkSEcPiI&index=15&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (Ataques Side-Channel) + +- ### Coleta de lixo + - [ ] [Garbage collection (Java); Augmenting data str (video)](https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25) (Coleta de lixo - Java) + - [ ] [Compilers (video)](https://www.youtube.com/playlist?list=PLO9y7hOkmmSGTy5z6HZ-W4k2y8WXF7Bff) (Compiladores - vídeo) + - [ ] [GC in Python (video)](https://www.youtube.com/watch?v=iHVs_HkjdmI) (Coleta de lixo em Python - vídeo) + - [ ] [Deep Dive Java: Garbage Collection is Good!](https://www.infoq.com/presentations/garbage-collection-benefits) (Mergulhando Fundo em Java: Coleta de Lixo é Bom) + - [ ] [Deep Dive Python: Garbage Collection in CPython (video)](https://www.youtube.com/watch?v=P-8Z0-MhdQs&list=PLdzf4Clw0VbOEWOS_sLhT_9zaiQDrS5AR&index=3) (Mergulhando Fundo em Python: Coleta de Lixo em CPython - vídeo) + +- ### Programação Paralela - [ ] [Coursera (Scala)](https://www.coursera.org/learn/parprog1/home/week/1) - - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) + - [ ] [Efficient Python for High Performance Parallel Computing (video)](https://www.youtube.com/watch?v=uY85GkaYzBk) (Python Eficiente para Computação Paralela de Alto Desempenho - vídeo) - ### Envio de Mensagens, Serialização, e Sistemas de Enfileiramento - [ ] [Thrift](https://thrift.apache.org/) - [Tutorial](http://thrift-tutorial.readthedocs.io/en/latest/intro.html) - - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) - - [Tutorials](https://developers.google.com/protocol-buffers/docs/tutorials) + - [ ] [Protocol Buffers](https://developers.google.com/protocol-buffers/) (Buffers de Protocolo) + - [Tutoriais](https://developers.google.com/protocol-buffers/docs/tutorials) - [ ] [gRPC](http://www.grpc.io/) - [gRPC 101 for Java Developers (video)](https://www.youtube.com/watch?v=5tmPvSe7xXQ&list=PLcTqM9n_dieN0k1nSeN36Z_ppKnvMJoly&index=1) - [ ] [Redis](http://redis.io/) - [Tutorial](http://try.redis.io/) - - [ ] [Amazon SQS (queue)](https://aws.amazon.com/sqs/) + - [ ] [Amazon SQS (fila)](https://aws.amazon.com/sqs/) - [ ] [Amazon SNS (pub-sub)](https://aws.amazon.com/sns/) - [ ] [RabbitMQ](https://www.rabbitmq.com/) - - [Get Started](https://www.rabbitmq.com/getstarted.html) + - [Get Started](https://www.rabbitmq.com/getstarted.html) (Introdução) - [ ] [Celery](http://www.celeryproject.org/) - - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) + - [First Steps With Celery](http://docs.celeryproject.org/en/latest/getting-started/first-steps-with-celery.html) (Primeiros Passos Com Celery) - [ ] [ZeroMQ](http://zeromq.org/) - - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) + - [Intro - Read The Manual](http://zeromq.org/intro:read-the-manual) (Introdução - Leia O Manual) - [ ] [ActiveMQ](http://activemq.apache.org/) - [ ] [Kafka](http://kafka.apache.org/documentation.html#introduction) - [ ] [MessagePack](http://msgpack.org/index.html) - [ ] [Avro](https://avro.apache.org/) - ### A* - - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) - - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) - - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) - -- ### Fast Fourier Transform - - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) - - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) - - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) - - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) - - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) - -- ### Bloom Filter - - Given a Bloom filter with m bits and k hashing functions, both insertion and membership testing are O(k) - - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) - - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) + - [ ] [A Search Algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) (Um Algoritmo de Busca) + - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) (Tutorial de Busca de Caminho com A* - vídeo) + - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) (Busca de Caminho com A* (E01 - explicação do algoritmo) - vídeo) + +- ### Transformar de Fourier Rápida + - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) (Uma Guia Interativa Para A Transformada de Fourier) + - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) (O que é a Transformada de Fourier? Para o quê ela é usada?) + - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) (O que é a Transformada de Fourier? - vídeo) + - [ ] [Divide & Conquer: FFT (video)](https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4) (Dividir e Conquistar: FFT (Transformada de Fourier Rápida) - vídeo) + - [ ] [Understanding The FFT](http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/) (Entendendo a Transformada de Fourier Rápida) + +- ### Filtro de Bloom + - Dado um filtro de Bloom com m bits e k funções de hash, tanto inserção quanto teste de associação são O(k) + - [Bloom Filters](https://www.youtube.com/watch?v=-SuTGoFYjZs) (Filtros de Bloom) + - [Bloom Filters | Mining of Massive Datasets | Stanford University](https://www.youtube.com/watch?v=qBTdukbzc78) (Filtros de Bloom | Mineração de Conjuntos de Dados Massivos | Universidade de Stanford) - [Tutorial](http://billmill.org/bloomfilter-tutorial/) - - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) + - [How To Write A Bloom Filter App](http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/) (Como Escrever Um Aplicativo De Filtro De Bloom) - ### HyperLogLog - - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) + - [How To Count A Billion Distinct Objects Using Only 1.5KB Of Memory](http://highscalability.com/blog/2012/4/5/big-data-counting-how-to-count-a-billion-distinct-objects-us.html) (Como Contar Um Bilhão De Objetos Distintos Usando Apenas 1,5KB De Memória) - ### Locality-Sensitive Hashing - - used to determine the similarity of documents - - the opposite of MD5 or SHA which are used to determine if 2 documents/strings are exactly the same. - - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) + - usado para determinar a similaridade de documentos + - o oposto de MD5 ou SHA, os quais são usados para determinar se 2 documentos/strings são exatamente o mesmo. + - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) (Simhashing (supostamente) simplificado) - ### van Emde Boas Trees - - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) - - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) + - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) (Dividir e Conquistar: Árvores van Emde Boas - vídeo) + - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) (Anotações de Aula do MIT) -- ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) +- ### Estruturas de Dados Incrementadas + - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) (CS 61B Aula 39: Incrementando Estruturas de Dados) -- ### Balanced search trees - - Know least one type of balanced binary tree (and know how it's implemented): +- ### Árvores balanceadas de busca + - Saiba pelo menos um tipo de árvore binária balanceada (e saiba como ela é implementada): - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. A particularly interesting self-organizing data structure is the splay tree, which uses rotations to move any accessed key to the root." - Skiena From 93d8d13a6db3055c22dd02c033faa1a90cbace7d Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 13:45:17 -0300 Subject: [PATCH 197/236] fixed technical term --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 32a9e6417b..4810195df7 100644 --- a/README.md +++ b/README.md @@ -1715,7 +1715,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo hashcodes, a Red-Black tree is used. - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) + - [ ] [Red-Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - [ ] **2-3 search trees** From 3fb9f6b98f34ba77d6a142ef56a1c3cbc397417d Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 14:26:28 -0300 Subject: [PATCH 198/236] updated translation, progress on #25 --- translations/README-ptbr.md | 194 ++++++++++++++++++------------------ 1 file changed, 97 insertions(+), 97 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 34e6d47e41..1b418c11b0 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -124,7 +124,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [van Emde Boas Trees](#van-emde-boas-trees) - [Augmented Data Structures](#augmented-data-structures) - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - - [Árvores balanceadas de busca](#Árvores-balanceadas-de-busca) + - [Árvores de busca balanceadas](#Árvores-de-busca-balanceadas) - AVL trees - Splay trees - Red/black trees @@ -1298,7 +1298,7 @@ Você ganhará mais prática com grafos no livro do Skiena (veja a seção de li - [ ] [06. Quicksort](https://www.youtube.com/watch?v=5M5A7qPWk84&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] [07. Priority Queues](https://www.youtube.com/watch?v=G9TMe0KC0w0&list=PLe-ggMe31CTducy9LDiGVkdSv0NfiRwn5) (Filas Prioritárias) - [ ] [08. Elementary Symbol Tables](https://www.youtube.com/watch?v=up_nlilw3ac&list=PLe-ggMe31CTc3a8nKRDxFZZrWrBvkc9SG) (Tabelas de Símbolos Elementares) - - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) (Árvores Balanceadas de Busca) + - [ ] [09. Balanced Search Trees](https://www.youtube.com/watch?v=qC1BLLPK_5w&list=PLe-ggMe31CTf7jHH_mFT50kayjCEA6Rhu) (Árvores de Busca Balanceadas) - [ ] [10. Geometric Applications of BST](https://www.youtube.com/watch?v=Wl30aGAp6TY&list=PLe-ggMe31CTdBsRIw0hXln0hilRs-DqAx) (Aplicações Geométricas de Árvores de Busca Balanceada) - [ ] [11. Hash Tables](https://www.youtube.com/watch?v=QA8fJGO-i9o&list=PLe-ggMe31CTcKxIRGqqThMts2eHtSrf11) (Tabelas Hash) - [ ] [Sedgewick Videos - Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?flow=list&shelf_id=3&view=50) (Vídeos de Sedgewick - Algoritmos II) @@ -1637,102 +1637,102 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - ### Estruturas de Dados Incrementadas - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) (CS 61B Aula 39: Incrementando Estruturas de Dados) -- ### Árvores balanceadas de busca +- ### Árvores de busca balanceadas - Saiba pelo menos um tipo de árvore binária balanceada (e saiba como ela é implementada): - - "Among balanced search trees, AVL and 2/3 trees are now passé, and red-black trees seem to be more popular. - A particularly interesting self-organizing data structure is the splay tree, which uses rotations - to move any accessed key to the root." - Skiena - - Of these, I chose to implement a splay tree. From what I've read, you won't implement a - balanced search tree in your interview. But I wanted exposure to coding one up - and let's face it, splay trees are the bee's knees. I did read a lot of red-black tree code. - - splay tree: insert, search, delete functions - If you end up implementing red/black tree try just these: - - search and insertion functions, skipping delete - - I want to learn more about B-Tree since it's used so widely with very large data sets. - - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) - - - [ ] **AVL trees** - - In practice: - From what I can tell, these aren't used much in practice, but I could see where they would be: - The AVL tree is another structure supporting O(log n) search, insertion, and removal. It is more rigidly - balanced than red–black trees, leading to slower insertion and removal but faster retrieval. This makes it - attractive for data structures that may be built once and loaded without reconstruction, such as language - dictionaries (or program dictionaries, such as the opcodes of an assembler or interpreter). - - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) - - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) - - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) - - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) - - - [ ] **Splay trees** - - In practice: - Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, - data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, - networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) - - [ ] MIT Lecture: Splay Trees: - - Gets very mathy, but watch the last 10 minutes for sure. - - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) - - - [ ] **Red/black trees** - - these are a translation of a 2-3 tree (see below) - - In practice: - Red–black trees offer worst-case guarantees for insertion time, deletion time, and search time. - Not only does this make them valuable in time-sensitive applications such as real-time applications, - but it makes them valuable building blocks in other data structures which provide worst-case guarantees; - for example, many data structures used in computational geometry can be based on red–black trees, and - the Completely Fair Scheduler used in current Linux kernels uses red–black trees. In the version 8 of Java, - the Collection HashMap has been modified such that instead of using a LinkedList to store identical elements with poor - hashcodes, a Red-Black tree is used. - - [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) - - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) - - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) - - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) - - - [ ] **2-3 search trees** - - In practice: - 2-3 trees have faster inserts at the expense of slower searches (since height is more compared to AVL trees). - - You would use 2-3 tree very rarely because its implementation involves different types of nodes. Instead, people use Red Black trees. - - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) - - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - - [ ] **2-3-4 Trees (aka 2-4 trees)** - - In practice: - For every 2-4 tree, there are corresponding red–black trees with data elements in the same order. The insertion and deletion - operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an - important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce - 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) - - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) - - - [ ] **N-ary (K-ary, M-ary) trees** - - note: the N or K is the branching factor (max branches) - - binary trees are a 2-ary tree, with branching factor = 2 - - 2-3 trees are 3-ary - - [ ] [K-Ary Tree](https://en.wikipedia.org/wiki/K-ary_tree) - - - [ ] **B-Trees** - - fun fact: it's a mystery, but the B could stand for Boeing, Balanced, or Bayer (co-inventor) - - In Practice: - B-Trees are widely used in databases. Most modern filesystems use B-trees (or Variants). In addition to - its use in databases, the B-tree is also used in filesystems to allow quick random access to an arbitrary - block in a particular file. The basic problem is turning the file block i address into a disk block - (or perhaps to a cylinder-head-sector) address. - - [ ] [B-Tree](https://en.wikipedia.org/wiki/B-tree) - - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) - - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) - - covers cache-oblivious B-Trees, very interesting data structures - - the first 37 minutes are very technical, may be skipped (B is block size, cache line size) - - -- ### k-D Trees - - great for finding number of points in a rectangle or higher dimension object - - a good fit for k-nearest neighbors - - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) - - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) + - "Entre as Árvores de Busca Balanceadas, AVL e árvore 2/3 agora são passado, e árvores red-black (rubro-negras) parecem mais populares. + Uma estrutura de dados auto-organizada particularmente interessante é a árvore splay, a qual usa rotações + para mover qualquer chave acessada para a raiz." + - Dessas, eu escolhi implementar a árvore splay. Com base no que eu li, você não vai implementar uma + árvore de busca balanceada na sua entrevista. Mas eu queria uma certa exposição à programação de uma dessas árvoes + e convenhamos, árvores splay são muito legais. Eu li muito código de árvores rubro-negras. + - árvore splay: funções de inserir, buscar e deletar + Se você acabar implementando uma árvore rubro-negra, tente apenas essas: + - funções de busca e inserção, pulando a função de deletar + - Eu quero aprender mais sobre a Árvore B, já que ela é amplamente usada com enormes conjuntos de dados. + - [ ] [Self-balancing binary search tree](https://en.wikipedia.org/wiki/Self-balancing_binary_search_tree) (Árvore binária de busca auto-balanceada) + + - [ ] **Árvores AVL** + - Ná prática: + Pelo que eu vejo, essas não são muito usadas na prática, mas eu consigo ver onde elas seriam usadas: + Á arvore AVL é outra estrutura que dá suporte a remoção, inserção e busca O(log n). Ela é mais rigidamente + balanceada que as árvores rubro-negras, levando à inserções e remoções mais lentas, mas uma recuperação mais rápida. Isso faz dela + um atrativo para estruturas de dados que podem ser construídas uma vez e carregadas sem reconstrução, assim como os dicionários de + linguagem (ou dicionários de programas, como os opcodes de um montador (assembler) ou interpretador). + - [ ] [MIT AVL Trees / AVL Sort (video)](https://www.youtube.com/watch?v=FNeL18KsWPc&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=6) (Árvores AVL / Ordenação AVL, pelo MIT - vídeo) + - [ ] [AVL Trees (video)](https://www.coursera.org/learn/data-structures/lecture/Qq5E0/avl-trees) (Árvores AVl - vídeo) + - [ ] [AVL Tree Implementation (video)](https://www.coursera.org/learn/data-structures/lecture/PKEBC/avl-tree-implementation) (Implementação de Árvores AVL - vídeo) + - [ ] [Split And Merge](https://www.coursera.org/learn/data-structures/lecture/22BgE/split-and-merge) (Dividir e Fundir) + + - [ ] **Árvores Splay** + - Ná prática: + Árvores splay são normalmente usadas na implementação de caches, alocadores de memória, roteadores, coletores de lixo, + compressão de dados, cordas (ou "ropes" no Inglês, que é uma estrutura de dados) (substituição de string usada para longas strings de texto), no Windows NT (em código de memória virtual, + rede e sistema de arquivos) etc. + - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) (CS 61B: Árvores Splay - vídeo) + - [ ] Aula do MIT: Árvores Splay: + - Fica bem intenso matematicamente, mas com certeza assista aos 10 últimos minutos. + - [Vídeo](https://www.youtube.com/watch?v=QnPl_Y6EqMo) + + - [ ] **Árvores Rubro-Negras** + - essas são uma tradução de uma árvore 2-3 (veja abaixo) + - Ná prática: + Árvores rubro-negras oferecem garantias de pior-caso para tempo de inserção, tempo de exclusão e tempo de busca. + Isso não só faz elas serem úteis em aplicações que sejam sensíveis ao tempo como aplicações que funcionam em tempo real, + mas isso faz elas serem úteis também em construir blocos para outras estruturas de dados, o que proporciona garantias de pior-caso; + por exemplo, muitas estruturas de dados usadas em geometria computacional podem ser baseadas em árvores rubro-negras, e + o Agendador Completamente Justo (Completely Fair Scheduler - CFS) usado em kernels de Linux atuais, usa as árvores rubro-negras.. Na versão 8 do Java,, + a Coleção HashMap foi modificada para usar uma árvore rubro-negra ao invés de usar uma ListaLigada para + armazenar elementos idênticos com hashcodes fracos. + - [ ] [Aduni - Algorithms - Lecture 4 (o link pula para o ponto de início) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871) (Aduni - Algoritmos - Aula 4 - vídeo) + - [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5) (Aduni - Algoritmos - Aula 5 - vídeo) + - [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree) (Árvore Rubro-Negra) + - [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/) (Uma Introdução a Busca Binária E Árvore Rubro-Negra) + + - [ ] **Árvores de busca 2-3** + - Ná prática: + árvores 2-3 tem inserções mais rápidas ao custo de buscas mais lentas (já que a altura é mais comparado às árvores AVL). + - Você raramente usaria árvore 2-3 porque a sua implementação envolve diferentes tipos de nós (nodes). Ao invés da árvore 2-3, as pessoas usam as árvores rubro-negras. + - [ ] [23-Tree Intuition and Definition (video)](https://www.youtube.com/watch?v=C3SsdUqasD4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=2) (Definição e Intuição da Árvore 2-3 - vídeo) + - [ ] [Binary View of 23-Tree](https://www.youtube.com/watch?v=iYvBtGKsqSg&index=3&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Vista Binária da Árvore 2-3) + - [ ] [2-3 Trees (student recitation) (video)](https://www.youtube.com/watch?v=TOb1tuEZ2X4&index=5&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Árvores 2-3 (recitação de estudante) - vídeo) + + - [ ] **Árvores 2-3-4 (também conhecidas como árvores 2-4)** + - Ná prática: + Para cada árvores 2-4, existem árvores rubro-negras correspondentes com elementos de dados na mesma ordem. As operações de inserção e + exclusão nas árvores 2-4 são também equivalentes ao color-flipping (numa tradução livre, troca-de-cor) e às rotações nas árvores rubro-negras. Isso torna as árvores 2-4 uma + ferramenta importante para compreender a lógica por trás das árvores rubro-negras, e é por isso que muitos textos de introdução a algoritmos introduzem + árvores 2-4 logo antes das árvores rubro-negras, mesmo que as **árvores 2-4 não são usadas frequentemente na prática**. + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) (CS 61B Aula 26: Árvores de Busca Balanceada) - vídeo + - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Árvores 2-3-4 Descendentes - vídeo) + - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) (Árvores 2-3-4 Ascendentes) - vídeo + + - [ ] **Árvores N-ary (K-ary, M-ary)** + - nota: o N ou K é o fator ramificador (máximo de ramificações) + - árvores binárias são uma árvore 2-ary, com um fator de ramificação = 2 + - árvores 2-3 são 3-ary + - [ ] [Árvore K-Ary](https://en.wikipedia.org/wiki/K-ary_tree) + + - [ ] **Árvores B** + - curuiosidade: é um mistério, mas o B pode se referir a Boeing, Balanceado ou Bayber (co-inventor) + - Ná prática: + Árvores B são amplamente usadas em bancos de dados. A maioria dos sistemas de arquivos modernos usam árvores B (ou variantes). Além do + seu uso em bancos de dados, ás arvores B são também usadas em sistemas de arquivos para permitir acesso aleatório rápido para um bloco + arbitrário em um arquivo particular. O problema básico é tornar o endereço de bloco de arquivo em um endereço de bloco de disco + (ou talvez em um cilindro-cabeça-setor, do Inglês Cylinder-Head-Sector - CHS). + - [ ] [Árvore B](https://en.wikipedia.org/wiki/B-tree) + - [ ] [Introduction to B-Trees (video)](https://www.youtube.com/watch?v=I22wEC1tTGo&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=6) (Introdução a Árvore B - vídeo) + - [ ] [B-Tree Definition and Insertion (video)](https://www.youtube.com/watch?v=s3bCdZGrgpA&index=7&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Definição e Inserção de Árvore B - vídeo) + - [ ] [B-Tree Deletion (video)](https://www.youtube.com/watch?v=svfnVhJOfMc&index=8&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) (Exclusão de Árvore B - vídeo) + - [ ] [MIT 6.851 - Memory Hierarchy Models (video)](https://www.youtube.com/watch?v=V3omVLzI0WE&index=7&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf) (MIT 6.851 - Modelos de Hierarquia de Memória - vídeo) + - cobre Árvores B de cache-alheio (do Inglês, cache-oblivious), estruturas de dados muito interessantes + - os primeiros 37 minutos são bem técnicos, pode ser pulado (B é tamanho de bloco, tamanho de linha de cache) + + +- ### Árvores k-D + - ótimo para encontrar número de pontos em um retângulo ou objeto de maior dimensão + - um bom encaixe para vizinhos mais próximos de k + - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) (Árvores k-D - vídeo) + - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) (Algoritmo de árvore kNN K-d - vídeo) - ### Skip lists - "These are somewhat of a cult data structure" - Skiena From 95aa2a152e201d0300a18595a71294130b3ebd95 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 17:30:10 -0300 Subject: [PATCH 199/236] Changed duplicate resource --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 32a9e6417b..7bfae26e6d 100644 --- a/README.md +++ b/README.md @@ -1770,7 +1770,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) - ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) + - [ ] [Ford-Fulkerson in 5 minutes — Step by step example (video)](https://www.youtube.com/watch?v=Tl90tNtKvxs) - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) From 09c8002c885d01a52a40102e43ef857cb5797790 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 18:22:23 -0300 Subject: [PATCH 200/236] updated translation, closes #25 --- translations/README-ptbr.md | 118 ++++++++++++++++++------------------ 1 file changed, 59 insertions(+), 59 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 1b418c11b0..b861b05d8e 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -801,7 +801,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Radix Sort](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#radixSort) (Radix Sort) - [ ] [Radix Sort (vídeo)](https://www.youtube.com/watch?v=xhr26ia4k38) - [ ] [Radix Sort, Counting Sort (linear time given constraints) (video)](https://www.youtube.com/watch?v=Nz1KZXbghj8&index=7&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Radix Sort, Ordenação por Contagem (tempo linear dadas restrições)) - - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Aleatorização: Multiplicação de Matriz, Quicksort, Algoritmo de Freivalds - vídeo) + - [ ] [Randomization: Matrix Multiply, Quicksort, Freivalds' algorithm (video)](https://www.youtube.com/watch?v=cNB2lADK3_s&index=8&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Randomização: Multiplicação de Matriz, Quicksort, Algoritmo de Freivalds - vídeo) - [ ] [Sorting in Linear Time (video)](https://www.youtube.com/watch?v=pOKy3RZbSws&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=14) (Ordenando em Tempo Linear - vídeo) Como um resumo, aqui está uma representação visual de [15 algoritmos de ordenação](https://www.youtube.com/watch?v=kPRA0W1kECg). @@ -836,7 +836,7 @@ Grafos podem ser usados para representar muitos problemas na Ciência da Computa - [ ] [6.006 Bellman-Ford (vídeo)](https://www.youtube.com/watch?v=ozsuci5pIso&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=17) - [ ] [6.006 Speeding Up Dijkstra (video)](https://www.youtube.com/watch?v=CHvQ3q_gJ7E&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=18) (6.006 acelerando Dijkstra - vídeo) - [ ] [Aduni: Graph Algorithms I - Topological Sorting, Minimum Spanning Trees, Prim's Algorithm - Lecture 6 (video)](https://www.youtube.com/watch?v=i_AQT_XfvD8&index=6&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Aduni: Algoritmos de Grafos I - Ordenação Topológica, Árvores de Extensão Mínima, Algoritmo de Prim - Aula 6 - vídeo) - - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) (Aduni: Algoritmos de Grafos II - Busca em Profundidade (DFS), Busca em Largura (BFS), Algoritmo de Kruskal, Estrutura de Dados Union-Find - Aula 7 - vídeo) + - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union-find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) (Aduni: Algoritmos de Grafos II - Busca em Profundidade (DFS), Busca em Largura (BFS), Algoritmo de Kruskal, Estrutura de Dados Union-Find - Aula 7 - vídeo) - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) (Aduni: Algoritmos de Grafos III: Menor Caminhno - Aula 8 - vídeo) - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) (Algoritmos de Grafos IV: Introdução à algoritmos geométricos - Aual 9 - vídeo) - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) (CS 61B 2014 (começando em 58:09) - vídeo) @@ -1734,69 +1734,69 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - [ ] [Kd Trees (video)](https://www.youtube.com/watch?v=W94M9D_yXKk) (Árvores k-D - vídeo) - [ ] [kNN K-d tree algorithm (video)](https://www.youtube.com/watch?v=Y4ZgLlDfKDg) (Algoritmo de árvore kNN K-d - vídeo) -- ### Skip lists - - "These are somewhat of a cult data structure" - Skiena - - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list) +- ### Skiplists + - "Essas são meio que estruturas de dados de um culto" - Skiena + - [ ] [Randomization: Skip Lists (video)](https://www.youtube.com/watch?v=2g9OSRKJuzM&index=10&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (Randomização: Skiplists - vídeo) + - [ ] [Para animações e um pouco mais de detalhes](https://en.wikipedia.org/wiki/Skip_list) -- ### Network Flows - - [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) - - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) +- ### Fluxos de Rede + - [ ] [Ford-Fulkerson in 5 minutes — Step by step example (vídeo)](https://www.youtube.com/watch?v=Tl90tNtKvxs) (Ford-Fulkerson em 5 minutos - Exemplo com passo a passo - vídeo) + - [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0) (Algoritmo de Ford-Fulkerson) + - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) (Fluxos de Rede - vídeo) -- ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) - - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) +- ### Conjuntos Disjuntos e Union-find + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) (UCB 61B - Conjuntos Disjuntos; Ordenação e seleção - vídeo) + - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) (Algoritmos de Sedgewick - Union-find - 6 vídeos) -- ### Math for Fast Processing - - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) +- ### Matemática para Processamento Rápido + - [ ] [Integer Arithmetic, Karatsuba Multiplication (video)](https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Aritmética de Números Inteiros, Multiplicação de Karatsuba - vídeo) + - [ ] [The Chinese Remainder Theorem (used in cryptography) (video)](https://www.youtube.com/watch?v=ru7mWZJlRQg) (O Teorema Chinês do Resto) - ### Treap - - Combination of a binary search tree and a heap + - Combinação de árvore binária de busca e um heap (memória dinâmica) - [ ] [Treap](https://en.wikipedia.org/wiki/Treap) - - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) - - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) - -- ### Linear Programming (videos) - - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) - - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) - - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) - - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) - -- ### Geometry, Convex hull (videos) - - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) - - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) - - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) - -- ### Discrete math - - see videos below - -- ### Machine Learning - - [ ] Why ML? - - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) - - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) - - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) - - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) - - [ ] [Tensorflow (video)](https://www.youtube.com/watch?v=oZikw5k_2FM) - - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) - - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) - - Courses: - - [Great starter course: Machine Learning](https://www.coursera.org/learn/machine-learning) - - [videos only](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) - - see videos 12-18 for a review of linear algebra (14 and 15 are duplicates) - - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) - - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) - - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) - - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) - - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) - - Resources: - - Books: - - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) - - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) - - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) - - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) + - [ ] [Data Structures: Treaps explained (video)](https://www.youtube.com/watch?v=6podLUYinH8) (Estruturas de Dados: Treaps explicadas - vídeo) + - [ ] [Applications in set operations](https://www.cs.cmu.edu/~scandal/papers/treaps-spaa98.pdf) (Aplicações em Operações de Conjunto) + +- ### Programação Linear (vídeos) + - [ ] [Linear Programming](https://www.youtube.com/watch?v=M4K6HYLHREQ) (Programação Linear) + - [ ] [Finding minimum cost](https://www.youtube.com/watch?v=2ACJ9ewUC6U) (Encontrando custo mínimo) + - [ ] [Finding maximum value](https://www.youtube.com/watch?v=8AA_81xI3ik) (Encontrando valor máximo) + - [ ] [Solve Linear Equations with Python - Simplex Algorithm](https://www.youtube.com/watch?v=44pAWI7v5Zk) (Resolva Equações Lineares com Python - Algoritmo Simplex) + +- ### Geometria, Envoltória convexa (vídeos) + - [ ] [Graph Alg. IV: Intro to geometric algorithms - Lecture 9](https://youtu.be/XIAQRlNkJAw?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3164) (Algoritmos de Gráfico IV: Introdução a algoritmos geométricos - Aula 9) + - [ ] [Geometric Algorithms: Graham & Jarvis - Lecture 10](https://www.youtube.com/watch?v=J5aJEcOr6Eo&index=10&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm) (Algoritmos Geométricos: Graham e Jarvis - Aula 10) + - [ ] [Divide & Conquer: Convex Hull, Median Finding](https://www.youtube.com/watch?v=EzeYI7p9MjU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=2) (Dividir e Conquistar: Envoltória Convexa, Busca de Ponto Médio) + +- ### Matemática discreta + - veja os vídeos abaixo + +- ### Aprendizado de Máquina + - [ ] Por que AM? + - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) (Como A Google Está Se Refazendo Como Uma Empresa Pioneira Em Aprendizado de Máquina) + - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) (Aprendizagem Profunda de Grande Escala para Sistemas de Computador Inteligentes - vídeo) + - [ ] [Deep Learning and Understandability versus Software Engineering and Verification by Peter Norvig](https://www.youtube.com/watch?v=X769cyzBNVw) (Aprendizagem Profunda e Compreensibilidade versus Engenharia de Software e Verificação, por Peter Norvig) + - [ ] [Google's Cloud Machine learning tools (video)](https://www.youtube.com/watch?v=Ja2hxBAwG_0) (Ferramentas de aprendizado de máquina na nuvem da Google - vídeo) + - [ ] [Google Developers' Machine Learning Recipes (Scikit Learn & Tensorflow) (video)](https://www.youtube.com/playlist?list=PLOU2XLYxmsIIuiBfYad6rFYQU_jL2ryal) (Receitas de Aprendizado de Máquina do Google Developers (Scikit Learn e Tensorflow) - vídeo) + - [ ] [Tensorflow (vídeo)](https://www.youtube.com/watch?v=oZikw5k_2FM) + - [ ] [Tensorflow Tutorials](https://www.tensorflow.org/versions/r0.11/tutorials/index.html) (Tutoriais de Tensorflow) + - [ ] [Practical Guide to implementing Neural Networks in Python (using Theano)](http://www.analyticsvidhya.com/blog/2016/04/neural-networks-python-theano/) (Guia Prática para implementar Redeus Neurais em Python - usando Theano) + - Cursos: + - [Ótimo curso iniciante: Aprendizado de Máquina](https://www.coursera.org/learn/machine-learning) + - [somente vídeos](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW) + - veja os vídeos 12-18 para uma revisão de algebra linear (14 e 15 são duplicados) + - [Neural Networks for Machine Learning](https://www.coursera.org/learn/neural-networks) (Redes Neurais para Aprendizado de Máquina) + - [Google's Deep Learning Nanodegree](https://www.udacity.com/course/deep-learning--ud730) (Nanodegree de Aprendizagem Profunda da Google) + - [Google/Kaggle Machine Learning Engineer Nanodegree](https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009) (Nanodegree de Engenheiro de Aprendizado de Máquina da Google/Kaggle) + - [Self-Driving Car Engineer Nanodegree](https://www.udacity.com/drive) (Nanodegree de Engenheiro de Carro Autônomo) + - [Metis Online Course ($99 for 2 months)](http://www.thisismetis.com/explore-data-science) (Curso Online do Metis - US$99 por 2 meses) + - Recursos: + - Livros: + - [Python Machine Learning](https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/) (Aprendizado de Máquina em Python) + - [Data Science from Scratch: First Principles with Python](https://www.amazon.com/Data-Science-Scratch-Principles-Python/dp/149190142X) (Ciência de Dados do Zero: Primeiros Princípios com Python) + - [Introduction to Machine Learning with Python](https://www.amazon.com/Introduction-Machine-Learning-Python-Scientists/dp/1449369413/) (Introdução a Aprendizado de Máquina com Python) + - [Machine Learning for Software Engineers](https://github.com/ZuzooVn/machine-learning-for-software-engineers) (Aprendizado de Máquina para Engenheiros de Software) - Data School: http://www.dataschool.io/ -- From 45d70e59870d3e9b8329a7811b16347ff3f1e582 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 18:43:05 -0300 Subject: [PATCH 201/236] Fixed broken anchors and removed duplicate in index --- README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 32a9e6417b..3894cc3455 100644 --- a/README.md +++ b/README.md @@ -129,8 +129,8 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Compilers](#compilers) - [Emacs and vi(m)](#emacs-and-vim) - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) + - [Information theory](#information-theory-videos) + - [Parity & Hamming Code](#parity--hamming-code-videos) - [Entropy](#entropy) - [Cryptography](#cryptography) - [Compression](#compression) @@ -145,7 +145,6 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - [van Emde Boas Trees](#van-emde-boas-trees) - [Augmented Data Structures](#augmented-data-structures) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) - [Balanced search trees](#balanced-search-trees) - AVL trees - Splay trees @@ -160,8 +159,8 @@ If you want to be a reliability engineer or systems engineer, study more from th - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - [Math for Fast Processing](#math-for-fast-processing) - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) + - [Linear Programming](#linear-programming-videos) + - [Geometry, Convex hull](#geometry-convex-hull-videos) - [Discrete math](#discrete-math) - [Machine Learning](#machine-learning) - [Additional Detail on Some Subjects](#additional-detail-on-some-subjects) From 78b745541989ac39c84b57f104adf1279515a8a2 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 18:59:52 -0300 Subject: [PATCH 202/236] updated translation --- translations/README-ptbr.md | 73 ++++++++++++++++++------------------- 1 file changed, 36 insertions(+), 37 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b861b05d8e..7a264df177 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -103,45 +103,44 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est ---------------- Tudo abaixo é opcional ---------------- - [Livros Adicionais](#livros-adicionais) -- [Additional Learning](#additional-learning) - - [Compilers](#compilers) - - [Emacs and vi(m)](#emacs-and-vim) - - [Unix command line tools](#unix-command-line-tools) - - [Information theory](#information-theory) - - [Parity & Hamming Code](#parity--hamming-code) - - [Entropy](#entropy) - - [Cryptography](#cryptography) - - [Compression](#compression) - - [Computer Security](#computer-security) - - [Garbage collection](#garbage-collection) - - [Parallel Programming](#parallel-programming) +- [Aprendizagem Adicional](#aprendizagem-adicional) + - [Compiladores](#compiladores) + - [Emacs e vi(m)](#emacs-e-vim) + - [Ferramentas de linha de comando do Unix](#ferramentas-de-linha-de-comando-do-unix) + - [Teoria da informação](#teoria-da-informação-vídeos) + - [Paridade e Código de Hamming](#paridade-e-código-de-hamming-vídeos) + - [Entropia](#entropia) + - [Criptografia](#criptografia) + - [Compressão](#compressão) + - [Segurança de Computador](#segurança-de-computador) + - [Coleta de lixo](#coleta-de-lixo) + - [Programação Paralela](#programação-paralela) - [Envio de Mensagens, Serialização, e Sistemas de Enfileiramento](#envio-de-mensagens-serialização-e-sistemas-de-enfileiramento) - [A*](#a) - - [Fast Fourier Transform](#fast-fourier-transform) - - [Bloom Filter](#bloom-filter) + - [Transformada de Fourier Rápida](#transformada-de-fourier-rápida) + - [Filtro de Bloom](#filtro-de-bloom) - [HyperLogLog](#hyperloglog) - [Locality-Sensitive Hashing](#locality-sensitive-hashing) - - [van Emde Boas Trees](#van-emde-boas-trees) - - [Augmented Data Structures](#augmented-data-structures) - - [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees) + - [Árvores de van Emde Boas](#Árvores-de-van-emde-boas) + - [Estruturas de Dados Incrementadas](#estruturas-de-dados-incrementadas) - [Árvores de busca balanceadas](#Árvores-de-busca-balanceadas) - - AVL trees - - Splay trees - - Red/black trees - - 2-3 search trees - - 2-3-4 Trees (aka 2-4 trees) - - N-ary (K-ary, M-ary) trees - - B-Trees - - [k-D Trees](#k-d-trees) - - [Skip lists](#skip-lists) - - [Network Flows](#network-flows) - - [Disjoint Sets & Union Find](#disjoint-sets--union-find) - - [Math for Fast Processing](#math-for-fast-processing) + - Árvores AVL + - Árvores Splay + - Árvores rubro-negras + - Árvores de busca 2-3 + - Árvores 2-3-4 (também conhecidas como árvores 2-4) + - Árvores N-ary (K-ary, M-ary) + - Árvores B + - [Árvores k-D](#Árvores-k-d) + - [Skiplists](#skiplists) + - [Fluxos de Rede](#fluxos-de-rede) + - [Conjuntos Disjuntos e Union-find](#conjuntos-disjuntos-e-union-find) + - [Matemática para Processamento Rápido](#matemática-para-processamento-rápido) - [Treap](#treap) - - [Linear Programming](#linear-programming) - - [Geometry, Convex hull](#geometry-convex-hull) - - [Discrete math](#discrete-math) - - [Machine Learning](#machine-learning) + - [Programação Linear](#programação-linear-vídeos) + - [Geometria, Envoltória convexa](#geometria-envoltória-convexa-vídeos) + - [Matemática discreta](#matemática-discreta) + - [Aprendizado de Máquina](#aprendizado-de-máquina) - [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) - [Séries de Vídeos](#séries-de-vídeos) - [Computer Science Courses](#computer-science-courses) @@ -1470,7 +1469,7 @@ O aprendizado nunca para. - o livro de padrões de design canônico - [ ] [UNIX and Linux System Administration Handbook, 4th Edition](https://www.amazon.com/UNIX-Linux-System-Administration-Handbook/dp/0131480057/) (Manual de Administração de Sistema do UNIX e Linux, 4ª Edição) -## Aprendizado Adicional +## Aprendizagem Adicional Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicionei eles para ajudar você a se tornar um engenheiro de software mais completo, e para você ficar ciente de certas tecnologias e algoritmos, assim você terá mais ferramentas a disposição. @@ -1501,7 +1500,7 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - [Writing C Programs With Emacs](http://www.cs.yale.edu/homes/aspnes/classes/223/notes.html#Writing_C_programs_with_Emacs) (Escrevendo Programas Em C Com Emacs) - [(maybe) Org Mode In Depth: Managing Structure (video)](https://www.youtube.com/watch?v=nsGYet02bEk) ((talvez) Análise Profunda do Modo Org: Gerenciando Estrutura - vídeo) -- ### Ferramentas da linha de comando do Unix +- ### Ferramentas de linha de comando do Unix - Eu preenchi a lista abaixo com boas ferramentas. - [ ] bash - [ ] cat @@ -1608,7 +1607,7 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - [ ] [A* Pathfinding Tutorial (video)](https://www.youtube.com/watch?v=KNXfSOx4eEE) (Tutorial de Busca de Caminho com A* - vídeo) - [ ] [A* Pathfinding (E01: algorithm explanation) (video)](https://www.youtube.com/watch?v=-L-WgKMFuhE) (Busca de Caminho com A* (E01 - explicação do algoritmo) - vídeo) -- ### Transformar de Fourier Rápida +- ### Transformada de Fourier Rápida - [ ] [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/) (Uma Guia Interativa Para A Transformada de Fourier) - [ ] [What is a Fourier transform? What is it used for?](http://www.askamathematician.com/2012/09/q-what-is-a-fourier-transform-what-is-it-used-for/) (O que é a Transformada de Fourier? Para o quê ela é usada?) - [ ] [What is the Fourier Transform? (video)](https://www.youtube.com/watch?v=Xxut2PN-V8Q) (O que é a Transformada de Fourier? - vídeo) @@ -1630,7 +1629,7 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - o oposto de MD5 ou SHA, os quais são usados para determinar se 2 documentos/strings são exatamente o mesmo. - [Simhashing (hopefully) made simple](http://ferd.ca/simhashing-hopefully-made-simple.html) (Simhashing (supostamente) simplificado) -- ### van Emde Boas Trees +- ### Árvores de van Emde Boas - [ ] [Divide & Conquer: van Emde Boas Trees (video)](https://www.youtube.com/watch?v=hmReJCupbNU&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=6) (Dividir e Conquistar: Árvores van Emde Boas - vídeo) - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) (Anotações de Aula do MIT) From ca0ef81a6d935cb246af7ca5e6001f748a0a5ec1 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Sun, 11 Jun 2017 19:01:48 -0300 Subject: [PATCH 203/236] updated translation --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7a264df177..253ca281a8 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1522,7 +1522,7 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione - [ ] [Project = Markov Text Generation Walk Through](https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through) (Projeto = Passo a Passo de Geração de Texto Markov) - Veja mais em MIT 6.050J Série: Informação e Entropia abaixo. -- ### Paridade e Código de Hamming +- ### Paridade e Código de Hamming (vídeos) - [ ] [Introdução](https://www.youtube.com/watch?v=q-3BctoUpHE) - [ ] [Paridade](https://www.youtube.com/watch?v=DdMcAUlxh1M) - [ ] Código de Hamming: From 79187e4e0e5009634ff83c21a7500bbf189a894a Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 12 Jun 2017 14:45:06 -0300 Subject: [PATCH 204/236] updated translation, closes #26 --- translations/README-ptbr.md | 124 ++++++++++++++++++------------------ 1 file changed, 62 insertions(+), 62 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 253ca281a8..9f8ba963dc 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1802,73 +1802,73 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione ## Detalhes Adicionais Sobre Alguns Assuntos - I added these to reinforce some ideas already presented above, but didn't want to include them - above because it's just too much. It's easy to overdo it on a subject. - You want to get hired in this century, right? + Eu adicionei esses detalhes para reforçar algumas ideias já apresentadas acima, mas não quis incluir elas + acima porque aí é simplesmente demais. É fácil exagerar em um tema. + Você quer ser contratado nesse século, certo? - [ ] **Union-Find** - - [ ] [Overview](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) - - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) - - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) + - [ ] [Visão Geral](https://www.coursera.org/learn/data-structures/lecture/JssSY/overview) + - [ ] [Naive Implementation](https://www.coursera.org/learn/data-structures/lecture/EM5D0/naive-implementations) (Implementação Ingênua) + - [ ] [Trees](https://www.coursera.org/learn/data-structures/lecture/Mxu0w/trees) (Árvores) - [ ] [Union By Rank](https://www.coursera.org/learn/data-structures/lecture/qb4c2/union-by-rank) - - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) - - [ ] [Analysis Options](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) - -- [ ] **More Dynamic Programming** (videos) - - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) - - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) - - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) - - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) - - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) - -- [ ] **Advanced Graph Processing** (videos) - - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) - - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) - -- [ ] MIT **Probability** (mathy, and go slowly, which is good for mathy things) (videos): - - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) - - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) - - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) - -- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) - -- [ ] **String Matching** - - [ ] Rabin-Karp (videos): - - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) - - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) - - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) - - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) - - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) + - [ ] [Path Compression](https://www.coursera.org/learn/data-structures/lecture/Q9CVI/path-compression) (Compressão de Caminho) + - [ ] [Analysis Optional](https://www.coursera.org/learn/data-structures/lecture/GQQLN/analysis-optional) (Análise - Opcional) + +- [ ] **Mais Programação Dinâmica** (vídeos) + - [ ] [6.006: Dynamic Programming I: Fibonacci, Shortest Paths](https://www.youtube.com/watch?v=OQ5jsbhAv_M&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=19) (6.006: Programação Dinâmica I: Fibonacci, Menores Caminhos) + - [ ] [6.006: Dynamic Programming II: Text Justification, Blackjack](https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20) (6.006: Programação Dinâmica II: Justificação de Texto, Blackjack) + - [ ] [6.006: DP III: Parenthesization, Edit Distance, Knapsack](https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21) (6.006: PD III: Parêntesisação, Editar Distância, Mochila) + - [ ] [6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.](https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (6.006: PD IV: Dedilhado de Guitarra, Tetris, Super Mario Bros.) + - [ ] [6.046: Dynamic Programming & Advanced DP](https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (6.046: Programação Dinâmica e PD Avançada) + - [ ] [6.046: Dynamic Programming: All-Pairs Shortest Paths](https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15) (6.046: Programação Dinâmica: Menores Caminhos Entre Todos Os Pares) + - [ ] [6.046: Dynamic Programming (student recitation)](https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12) (6.046: Programação Dinâmica - recitação de estudante) + +- [ ] **Processamento de Gráfos Avançado** (vídeos) + - [ ] [Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27) (Algoritmos Distribuídos Síncronos: Quebra de Simetria. Árvores de Extensão De Menores Caminhos) + - [ ] [Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees](https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28) (Algoritmos Distribuídos Assíncronos: Árvores de Extensão De Menores Caminhos) + +- [ ] MIT **Probabilidade** (bem matemático, e bem lento, o que é bom para coisas bem matemáticas) (vídeos): + - [ ] [MIT 6.042J - Probability Introduction](https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B) (MIT 6.042J - Introdução a Probabilidade) + - [ ] [MIT 6.042J - Conditional Probability](https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B) (MIT 6.042J - Probabilidade Condicional) + - [ ] [MIT 6.042J - Independence](https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B) (MIT 6.042J - Independência) + - [ ] [MIT 6.042J - Random Variables](https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21) (MIT 6.042J - Variáveis Aleatórias) + - [ ] [MIT 6.042J - Expectation I](https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B) (MIT 6.042J - Expectativa I) + - [ ] [MIT 6.042J - Expectation II](https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B) (MIT 6.042J - Expectativa II) + - [ ] [MIT 6.042J - Large Deviations](https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B) (MIT 6.042J - Grades Desvios) + - [ ] [MIT 6.042J - Random Walks](https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25) (MIT 6.042J - Percursos Aleatórios) + +- [ ] [Simonson: Approximation Algorithms (video)](https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19) (Simonson: Algoritmos de Aproximação - vídeo) + +- [ ] **Correspondência de String** + - [ ] Rabin-Karp (vídeos): + - [Rabin Karps Algorithm](https://www.coursera.org/learn/data-structures/lecture/c0Qkw/rabin-karps-algorithm) (Algoritmos de Rabin Karps) + - [Precomputing](https://www.coursera.org/learn/data-structures/lecture/nYrc8/optimization-precomputation) (Precomputação) + - [Optimization: Implementation and Analysis](https://www.coursera.org/learn/data-structures/lecture/h4ZLc/optimization-implementation-and-analysis) (Otimização: Implementação e Análise) + - [Table Doubling, Karp-Rabin](https://www.youtube.com/watch?v=BRO7mVIFt08&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=9) (Duplicação de Tabela, Karp-Rabin) + - [Rolling Hashes, Amortized Analysis](https://www.youtube.com/watch?v=w6nuXg0BISo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=32) (Hashing Recursivo, Análise Amortizada) - [ ] Knuth-Morris-Pratt (KMP): - - [TThe Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) - - [ ] Boyer–Moore string search algorithm - - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) - - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) - - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) - - starts off great, but by the time it gets past KMP it gets more complicated than it needs to be - - nice explanation of tries - - can be skipped - -- [ ] **Sorting** - - - [ ] Stanford lectures on sorting: - - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) - - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) + - [The Knuth-Morris-Pratt (KMP) String Matching Algorithm](https://www.youtube.com/watch?v=5i7oKodCRJo) (O Algoritmo de Correspondência de String de Knuth-Morris-Pratt - KMP) + - [ ] Algoritmo de busca de string de Boyer-Moore + - [Boyer-Moore String Search Algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string_search_algorithm) (Algoritmo de Busca de String de Boyer-Moore) + - [Advanced String Searching Boyer-Moore-Horspool Algorithms (video)](https://www.youtube.com/watch?v=QDZpzctPf10) (Algoritmos Avançados de Busca de String de Boyer-Moore-Horspool - vídeo) + - [ ] [Coursera: Algorithms on Strings](https://www.coursera.org/learn/algorithms-on-strings/home/week/1) (Coursera: Algoritmos em Strings) + - começa bem, mas depois que passa por KMP fica mais complicado do que precisa ser + - boa explicação de tries + - pode ser pulado + +- [ ] **Ordenação** + + - [ ] Aulas de Stanford sobre ordenação: + - [ ] [Lecture 15 | Programming Abstractions (video)](https://www.youtube.com/watch?v=ENp00xylP7c&index=15&list=PLFE6E58F856038C69) (Aula 15 | Abstrações de Programação - vídeo) + - [ ] [Lecture 16 | Programming Abstractions (video)](https://www.youtube.com/watch?v=y4M9IVgrVKo&index=16&list=PLFE6E58F856038C69) (Aula 16 | Abstrações de Programação - vídeo) - [ ] Shai Simonson, [Aduni.org](http://www.aduni.org/): - - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) - - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) - - [ ] Steven Skiena lectures on sorting: - - [ ] [lecture begins at 26:46 (video)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) - - [ ] [lecture begins at 27:40 (video)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 35:00 (video)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [ ] [lecture begins at 23:50 (video)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) + - [ ] [Algorithms - Sorting - Lecture 2 (video)](https://www.youtube.com/watch?v=odNJmw5TOEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=2) (Algoritmos - Ordenação - Aula 2 - vídeo) + - [ ] [Algorithms - Sorting II - Lecture 3 (video)](https://www.youtube.com/watch?v=hj8YKFTFKEE&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=3) (Algoritmos - Ordenação II - Aula 3 - vídeo) + - [ ] Aulas de Steven Skiena sobre ordenação: + - [ ] [aula começa aos 26:46 (vídeo)](https://youtu.be/ute-pmMkyuk?list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&t=1600) + - [ ] [aula começa aos 27:40 (vídeo)](https://www.youtube.com/watch?v=yLvp-pB8mak&index=8&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [aula começa aos 35:00 (vídeo)](https://www.youtube.com/watch?v=q7K9otnzlfE&index=9&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) + - [ ] [aula começa aos 23:50 (vídeo)](https://www.youtube.com/watch?v=TvqIGu9Iupw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=10) ## Séries de Vídeos From 02aa62579a6254a811956a2e4708257aa880911c Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 12 Jun 2017 15:10:09 -0300 Subject: [PATCH 205/236] updated translation, closes #27 --- translations/README-ptbr.md | 68 ++++++++++++++++++------------------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 9f8ba963dc..1a811a2037 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -1872,69 +1872,69 @@ Esses tópicos provavelmente não aparecerão em uma entrevista, mas eu adicione ## Séries de Vídeos -Sit back and enjoy. "Netflix and skill" :P +Sente-se e aproveite. "Netflix e habilidade" :P -- [ ] [List of individual Dynamic Programming problems (each is short)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) +- [ ] [Lista de problemas individuais de Programação Dinâmica (cada um é curto)](https://www.youtube.com/playlist?list=PLrmLmBdmIlpsHaNTPP_jHHDx_os9ItYXr) -- [ ] [x86 Architecture, Assembly, Applications (11 videos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) +- [ ] [Arquitetura x86, Assemply, Aplicativos (11 vídeos)](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0) -- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) +- [ ] [MIT 18.06 Linear Algebra, Spring 2005 (35 videos)](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) (MIT 18.06 Álgebra Linear, Primavera de 2005 - 35 vídeos) -- [ ] [Excellent - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) +- [ ] [Excelente - MIT Calculus Revisited: Single Variable Calculus](https://www.youtube.com/playlist?list=PL3B08AE665AB9002A) (Cálculo de MIT Revisto: Cálculo de Variável Única) -- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) +- [ ] [Computer Science 70, 001 - Spring 2015 - Discrete Mathematics and Probability Theory](https://www.youtube.com/playlist?list=PL-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy) (Ciência da Computação 70, 001 - Primavera de 2005 - Matemática Discreta e Teoria de Probabilidade) -- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) +- [ ] [Discrete Mathematics by Shai Simonson (19 videos)](https://www.youtube.com/playlist?list=PL3o9D4Dl2FJ9q0_gtFXPh_H4POI5dK0yG) (Matemática Discreta por Shai Simonson - 19 vídeos) -- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) +- [ ] [Discrete Mathematics Part 1 by Sarada Herke (5 videos)](https://www.youtube.com/playlist?list=PLGxuz-nmYlQPOc4w1Kp2MZrdqOOm4Jxeo) (Matemática Discreta Parte 1 por Sarada Herke - 5 vídeos) -- [ ] CSE373 - Analysis of Algorithms (25 videos) - - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) +- [ ] CSE373 - Análise de Algoritmos (25 vídeos) + - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) (Aulas de Skiena do Manual de Design de Algoritmo) -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) (Universidade da Califórnia em Berkeley 61B (Primavera de 2014): Estrutura de Dados - 25 vídeos) -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) (Universidade da Califórnia em Berkeley 61B (Outono de 2006): Estrutura de Dados - 39 vídeos) -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) (Universidade da Califórnia em Berkeley 61C: Estruturas de Máquina - 26 vídeos) -- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) +- [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) (OOSE (Engenharia de Software Orientada a Objetos): Desenvolvimento de Software Usando UML e Java - 21 vídeos) -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) +- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) (Universidade da Califórnia em Berkeley CS 152: Arquitetura e Engenharia de Computador - 20 vídeos) -- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) +- [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) (MIT 6.004: Estruturas de Computação - 49 vídeos) -- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) +- [ ] [Carnegie Mellon - Computer Architecture Lectures (39 videos)](https://www.youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq) (Carnegie Mellon - Aulas de Arquitetura de Computador - 39 vídeos) -- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) +- [ ] [MIT 6.006: Intro to Algorithms (47 videos)](https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&nohtml5=False) (MIT 6.006: Introdução a Algoritmos - 47 vídeos) -- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) +- [ ] [MIT 6.033: Computer System Engineering (22 videos)](https://www.youtube.com/watch?v=zm2VP0kHl1M&list=PL6535748F59DCA484) (MIT 6.033: Engenharia de Sistema de Computador - 22 vídeos) -- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) +- [ ] [MIT 6.034 Artificial Intelligence, Fall 2010 (30 videos)](https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-kVBiQHYe_4hSi) (MIT 6.034 Inteligência Artificial, Outono de 2010 - 30 vídeos) -- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) +- [ ] [MIT 6.042J: Mathematics for Computer Science, Fall 2010 (25 videos)](https://www.youtube.com/watch?v=L3LMbpZIKhQ&list=PLB7540DEDD482705B) (MIT 6.042J: Matemática para Ciência da Computação, Outono de 2010 - 25 vídeos) -- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) +- [ ] [MIT 6.046: Design and Analysis of Algorithms (34 videos)](https://www.youtube.com/watch?v=2P-yW7LQr08&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) (MIT 6.046: Design e Análise de Algoritmos - 34 vídeos) -- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) +- [ ] [MIT 6.050J: Information and Entropy, Spring 2008 (19 videos)](https://www.youtube.com/watch?v=phxsQrZQupo&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7) (MIT 6.050J: Informação e Entropia, Primavera de 2008 - 19 vídeos) -- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) +- [ ] [MIT 6.851: Advanced Data Structures (22 videos)](https://www.youtube.com/watch?v=T0yzrZL1py0&list=PLUl4u3cNGP61hsJNdULdudlRL493b-XZf&index=1) (MIT 6.851: Estrutura de Dados Avançadas - 22 vídeos) -- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) +- [ ] [MIT 6.854: Advanced Algorithms, Spring 2016 (24 videos)](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) (MIT 6.854: Algoritmos Avançados, Primavera de 2016 - 24 vídeos) -- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) +- [ ] [Harvard COMPSCI 224: Advanced Algorithms (25 videos)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf) (Harvard COMPSCI 224: Algoritmos Avançados - 25 vídeos) -- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) +- [ ] [MIT 6.858 Computer Systems Security, Fall 2014](https://www.youtube.com/watch?v=GqmQg-cszw4&index=1&list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh) (MIT 6.858 Segurança de Sistemas de Computador, Outono de 2014) -- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) +- [ ] [Stanford: Programming Paradigms (27 videos)](https://www.youtube.com/view_play_list?p=9D558D49CA734A02) (Stanford: Paradigmas de Programação - 27 vídeos) -- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) - - [Course Website along with Slides and Problem Sets](http://www.crypto-textbook.com/) +- [ ] [Introduction to Cryptography by Christof Paar](https://www.youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVhLv1tVcfy) (Introdução a Criptografia por Christof Paar) + - [Website de Curso junto com Slides e Conjuntos de Problemas](http://www.crypto-textbook.com/) - [ ] [Mining Massive Datasets - Stanford University (94 videos)](https://www.youtube.com/playlist?list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV) (Minerando Conjuntos de Dados Massivos - Universidade de Stanford - 94 vídeos) -- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) +- [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) (Teoria de Grafos por Sarada Herke - 67 vídeos) -## Computer Science Courses +## Cursos de Ciência da Computação -- [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) -- [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses) \ No newline at end of file +- [Diretório de Cursos Online de Ciência da Computação](https://github.com/open-source-society/computer-science) +- [Diretório de Cursos Online de Ciência da Computação (muitos com aulas online)](https://github.com/prakhar1989/awesome-courses) \ No newline at end of file From 8f391aeafd759fcf213ae4cfabe69e5847535cdc Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 12 Jun 2017 15:18:18 -0300 Subject: [PATCH 206/236] updated translation --- translations/README-ptbr.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 1a811a2037..36a5b40f23 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -49,7 +49,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Listas Ligadas](#listas-ligadas) - [Stack](#stack) - [Queue (Fila)](#queue-fila) - - [Tabela hash (no português: Tabela de dispersão)](#tabela-hash-no-português-tabela-de-dispersão) + - [Tabela hash](#tabela-hash) - [Mais Conhecimento](#mais-conhecimento) - [Busca binária](#busca-binária) - [Lógica binária](#lógica-binária) @@ -77,7 +77,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Programação Orientada a Objetos](#programação-orientada-a-objetos) - [Padrões de Design](#padrões-de-design) - [Combinatórias (n escolhe k) e Probabilidade](#combinatórias-n-escolhe-k-e-probabilidade) - - [Algoritmos de Aproximação, NP-Completo e NP](#algoritmos-de-aproximação-NP-Completo-e-np) + - [Algoritmos de Aproximação, NP-Completo e NP](#algoritmos-de-aproximação-np-completo-e-np) - [Caches](#caches) - [Processos e Threads](#processos-e-threads) - [Artigos](#artigos) @@ -143,7 +143,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Aprendizado de Máquina](#aprendizado-de-máquina) - [Detalhes Adicionais Sobre Alguns Assuntos](#detalhes-adicionais-sobre-alguns-assuntos) - [Séries de Vídeos](#séries-de-vídeos) -- [Computer Science Courses](#computer-science-courses) +- [Cursos de Ciência da Computação](#cursos-de-ciência-da-computação) --- @@ -583,7 +583,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - dequeue: O(1) (lista ligada e array) - empty (vazio): O(1) (lista ligada e array) -- ### Tabela hash (no português: Tabela de dispersão) +- ### Tabela hash - [ ] vídeos: - [ ] [Hashing with Chaining (video)](https://www.youtube.com/watch?v=0M_kIqhwbFo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=8) (Hashing com Encadeamento - vídeo) - [ ] [Table Doubling, Karp-Rabin (video)](https://www.youtube.com/watch?v=BRO7mVIFt08&index=9&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) (Duplicação de Tabela, Karp-Rabin - vídeo) From 504f1c0cdf8158e1a40e59b52057094c29cbf54d Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 12 Jun 2017 15:38:15 -0300 Subject: [PATCH 207/236] updated translation, closes #29 --- translations/README-ptbr.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 36a5b40f23..e3ec35a170 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -267,14 +267,14 @@ Se estiver com pouco tempo: - O autor inventou HLA (High-level Assembly ou, no português, Assembly de alto nível), então considere as menções e exemplos em HLA com cautela. Não é usado amplamente, mas contém exemplos decentes de como o assembly funciona. - Esses capítulos valem a pena serem lidos para lhe dar uma boa base: - Chapter 2 - Numeric Representation (Capítulo 2 - Representação Numérica) - - Chapter 3 - Binary Arithmetic and Bit Operations - - Chapter 4 - Floating-Point Representation - - Chapter 5 - Character Representation - - Chapter 6 - Memory Organization and Access - - Chapter 7 - Composite Data Types and Memory Objects - - Chapter 9 - CPU Architecture - - Chapter 10 - Instruction Set Architecture - - Chapter 11 - Memory Architecture and Organization + - Chapter 3 - Binary Arithmetic and Bit Operations (Capítulo 3 - Aritmética Binária e Operações Bit) + - Chapter 4 - Floating-Point Representation (Representação em Ponto Flutuante) + - Chapter 5 - Character Representation (Representação de Caractere) + - Chapter 6 - Memory Organization and Access (Organização e Acesso de Memória) + - Chapter 7 - Composite Data Types and Memory Objects (Tipos de Dados Compostos e Objetos de Memória) + - Chapter 9 - CPU Architecture (Arquitetura de CPU) + - Chapter 10 - Instruction Set Architecture (Arquitetura de Conjunto de Instruções) + - Chapter 11 - Memory Architecture and Organization (Arquitetura de Memória e Organização) Se você tem mais tempo (eu quero esse livro): @@ -317,7 +317,7 @@ OU: - [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) (Estrutura de Dados e Algoritmos em Python) - por Goodrich, Tamassia, Goldwasser - - Eu adorei esse livro. Ele cobriu tudo e mais. + - Eu adorei esse livro. Ele cobriu tudo e muito mais. - Código pythonico. - meu brilhante resumo: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ From 3c0604769ef3b95e12387411e4a276c9081ea56a Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 12 Jun 2017 15:53:40 -0300 Subject: [PATCH 208/236] updated translation, closes #28 --- translations/README-ptbr.md | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index e3ec35a170..b5fb978b35 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -200,20 +200,20 @@ Alguns vídeos estão disponíveis somente ao ingressar em um curso no Coursera, ## Processo de Entrevista e Preparação Geral para a Entrevista - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) -- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) -- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) -- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) -- [ ] Cracking The Coding Interview Set 1: - - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) - - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) -- [ ] How to Get a Job at the Big 4: - - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) - -- [ ] Prep Courses: - - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. +- [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) (Usando O Quadro Branco) +- [ ] [Effective Whiteboarding during Programming Interviews](http://www.coderust.com/blog/2014/04/10/effective-whiteboarding-during-programming-interviews/) (Usando o Quadro Branco Efetivamente durante Entrevistas de Programação) +- [ ] [Demystifying Tech Recruiting](https://www.youtube.com/watch?v=N233T0epWTs) (Desmistificando Recrutamento Técnico) +- [ ] Decifrando A Entrevista de Programação Série 1: + - [ ] [Gayle L McDowell - Cracking The Coding Interview (video)](https://www.youtube.com/watch?v=rEJzOhC5ZtQ) (Gayle L McDowell - Decifrando A Entrevista de Programação - vídeo) + - [ ] [Cracking the Coding Interview with Author Gayle Laakmann McDowell (video)](https://www.youtube.com/watch?v=aClxtDcdpsQ) (Decifrando a Entrevista de Programação com o Autor Gayle Laakmann McDowell - vídeo) +- [ ] Como Conseguir um Emprego em uma das 4 Gigantes: + - [ ] [How to Get a Job at the Big 4 - Amazon, Facebook, Google & Microsoft (video)](https://www.youtube.com/watch?v=YJZCUhxNCv8) (Como Conseguir um Emprego em uma das 4 Gigantes - Amazon, Facebook, Google e Microsoft - vídeo) + +- [ ] Cursos de Preparação: + - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed) (Entrevista de Engenheiro de Software Unleashed - curso pago): + - Aprenda com um ex-entrevistador da Google como se preparar para entrevistas de engenheiro de software. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): (Python para Estrutura de Dados, Algoritmos e Entrevistas! - curso pago) + - Um curso de preparação para entrevistas focado em Python, que cobre estrutura de dados, algoritmos, entrevistas simuladas e muito mais. ## Escolha Uma Linguagem para a Entrevista @@ -274,7 +274,7 @@ Se estiver com pouco tempo: - Chapter 7 - Composite Data Types and Memory Objects (Tipos de Dados Compostos e Objetos de Memória) - Chapter 9 - CPU Architecture (Arquitetura de CPU) - Chapter 10 - Instruction Set Architecture (Arquitetura de Conjunto de Instruções) - - Chapter 11 - Memory Architecture and Organization (Arquitetura de Memória e Organização) + - Chapter 11 - Memory Architecture and Organization (Arquitetura e Organização de Memória) Se você tem mais tempo (eu quero esse livro): From a7f7c7b84b8a759ac889947a79bf6f89da61f819 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 18 Jun 2017 11:11:29 -0700 Subject: [PATCH 209/236] Added details on mock interviews. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 8cb08045b6..218e5a7d56 100644 --- a/README.md +++ b/README.md @@ -1415,9 +1415,9 @@ Challenge repos: - [Interactive Coding Interview Challenges in Python](https://github.com/donnemartin/interactive-coding-challenges) Mock Interviews: -- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) -- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) -- [Refdash: Mock interviews](https://refdash.com/) +- [Gainlo.co: Mock interviewers from big companies](http://www.gainlo.co/) - I used this and it helped me relax for the phone screen and on-site interview. +- [Pramp: Mock interviews from/with peers](https://www.pramp.com/) - peer-to-peer model of practice interviews +- [Refdash: Mock interviews and expedited interviews](https://refdash.com/) - also help candidates fast track by skipping multiple interviews with tech companies. ## Once you're closer to the interview From 1594b3f2fd3cfc6ef9a51dfef654687fedd5214f Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:06:07 -0300 Subject: [PATCH 210/236] updated translation, closes #6 --- translations/README-ptbr.md | 38 ++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index b5fb978b35..beef39d3fc 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -41,7 +41,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est - [Lista de Livros](#lista-de-livros) - [Antes de começar](#antes-de-começar) - [O que você não verá](#o-que-você-não-verá) -- [The Daily Plan](#the-daily-plan) +- [O Plano Diário](#o-plano-diário) - [Conhecimento Prévio](#conhecimento-prévio) - [Complexidade Algorítmica / Big-O / Análise assintótica](#complexidade-algorítmica--big-o--análise-assintótica) - [Estrutura de Dados](#estrutura-de-dados) @@ -417,35 +417,35 @@ Essas são tecnologias predominantes, mas não são partes desse plano de estudo - Javascript - HTML, CSS, e outras tecnologias de front-end -## The Daily Plan +## O Plano Diário -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. +Alguns temas levam um dia, e alguns vão levar vários dias. Alguns são apenas aprendizado sem nada para implementar. -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: -- C - using structs and functions that take a struct * and something else as args. -- C++ - without using built-in types -- C++ - using built-in types, like STL's std::list for a linked list -- Python - using built-in types (to keep practicing Python) -- and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. +A cada dia eu pego um tema da lista abaixo, assisto vídeos sobre aquele tema, e escrevo uma implementação em: +- C - usando structs e funções que usam struct * e alguma outra coisa como argumentos. +- C++ - sem usar types internos. +- C++ - usando types internos, como std::list da STL para uma lista ligada +- Python - usando types internos (para continuar praticando Python) +- e escrevo testes para garantir que estou fazendo certo, às vezes uso apenas declarações simples de asser() +- Você pode fazer com Java também ou alguma outra linguagem, eu apenas prefiro essas cima. -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). +Você não precisa de todas essas linguagens. Você precisa de apenas [uma linguagem para a entrevista](#escolha-uma-linguagem-para-a-entrevista). -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) -- Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) -- Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) +Por que programar em todas essas linguagens? +- Prática, prática, prática, até eu enjoar e poder implementar sem problemas (algumas tem muitos casos com valores de entrada extremos, ou seja, muito pequenos ou muito grandes, e também têm muitos detalhes de escrituração para lembrar) +- Trabalhar dentro das restrições básicas (alocar/liberar memória sem ajuda de um coletor de lixo (com exceção de Python)) +- Fazer uso de types internos para que eu possa ter experiência em usar ferramentas internas para problemas do mundo real (não vou escrever minha própria implementação de lista ligada durante a etapa de produção) -I may not have time to do all of these for every subject, but I'll try. +Talvez eu não tenha tempo para fazer tudo isso para cada tema, mas eu vou tentar. -You can see my code here: +Você pode ver meu código aqui: - [C] (https://github.com/jwasham/practice-c) - [C++] (https://github.com/jwasham/practice-cpp) - [Python] (https://github.com/jwasham/practice-python) -You don't need to memorize the guts of every algorithm. +Você não precisa memorizar os detalhes intrínsecos de cada algoritmo. -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. +Escreva código em um quadro branco ou papel, não em um computador. Teste com umas amostras de valores de entrada (input). Depois teste em um computador. ## Conhecimento Prévio From e51a7068a65d834ce241abb62ff1bbfa7792eca8 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:15:35 -0300 Subject: [PATCH 211/236] updated translation --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index beef39d3fc..2726a52207 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -548,7 +548,7 @@ Escreva código em um quadro branco ou papel, não em um computador. Teste com u - [ ] pop_back() - remove um item do final e retorna seu valor - [ ] front() - obtém valor do item que está no início da lista - [ ] back() - obtém valor do item que está no final da lista - - [ ] insert(índice, valor) - insere "valor" no "índice", e então o item atual naquele índice é apontado pelo novo item no "índice" + - [ ] insert(índice, valor) - insere "valor" no "índice", e depois o item atual naquele índice é apontado pelo novo item no "índice" - [ ] erase(índice) - remove o node (nó) no índice fornecido - [ ] value_n_from_end(n) - retorna o valor do node (nó) na posição n a partir do final da lista - [ ] reverse() - reverte a lista @@ -818,7 +818,7 @@ Grafos podem ser usados para representar muitos problemas na Ciência da Computa - mapa de adjacência - Famialirize-se com cada representação e seus prós e contras. - Busca em Largura (BFS) e Busca em Profundidade (DFS) - saiba a complexidade computacional deles, seus perde-e-ganhas (tradeoffs), e como implementar eles em código real. - - Quando for perguntado uma questão, busque por uma solução baseada em grafos primeiro, então se não houver, siga em frente. + - Quando for perguntado uma questão, busque por uma solução baseada em grafos primeiro, depois se não houver nenhuma, siga em frente. - [ ] Aulas do Skiena - ótima introdução: - [ ] [CSE373 2012 - Lecture 11 - Graph Data Structures (video)](https://www.youtube.com/watch?v=OiXxhDrFruw&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=11) (CSE373 2012 - Aula 11 - Estrutura de Dados de Grafos - vídeo) From 4fde650f4344d701b3510273da03d3e6fae5d275 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:39:04 -0300 Subject: [PATCH 212/236] added credits and updated files' hyperlinks to translations --- README.md | 2 +- translations/README-ptbr.md | 28 +++++++++++++++++++++++++++- 2 files changed, 28 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8cb08045b6..93e1427847 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,7 @@ Translations: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - [Español](translations/README-es.md) +- [Português Brasileiro](translations/README-ptbr.md) Translations in progress: - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) @@ -24,7 +25,6 @@ Translations in progress: - [French](https://github.com/jwasham/coding-interview-university/issues/89) - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) -- [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) - [Korean](https://github.com/jwasham/coding-interview-university/issues/118) - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 2726a52207..a9d41f1a44 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -10,7 +10,33 @@ > > *Boa sorte para todos vocês!* -Original: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) +**Original**: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) + +**Tradutores**: [Marlon Aviz](https://github.com/avizmarlon) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=avizmarlon)), [marceloogeda](https://github.com/marceloogeda) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=marceloogeda)), [laris151](https://github.com/laris151) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=laris151)) + +Traduções: +- [中文版本](translations/README-cn.md) +- [Tiếng Việt - Vietnamese](translations/README-vi.md) +- [Español](translations/README-es.md) +- [Português Brasileiro](translations/README-ptbr.md) + +Traduções em progresso: +- [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) +- [עברית](https://github.com/jwasham/coding-interview-university/issues/82) +- [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) +- [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) +- [Turkish](https://github.com/jwasham/coding-interview-university/issues/90) +- [French](https://github.com/jwasham/coding-interview-university/issues/89) +- [Russian](https://github.com/jwasham/coding-interview-university/issues/87) +- [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) +- [Korean](https://github.com/jwasham/coding-interview-university/issues/118) +- [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) +- [Polish](https://github.com/jwasham/coding-interview-university/issues/122) +- [German](https://github.com/jwasham/coding-interview-university/issues/135) +- [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) +- [Thai](https://github.com/jwasham/coding-interview-university/issues/156) +- [Greek](https://github.com/jwasham/coding-interview-university/issues/166) +- [Italian](https://github.com/jwasham/coding-interview-university/issues/170) ## O que é isso? From b374ca83c8faeac72f46814c814469e71f256f27 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:40:33 -0300 Subject: [PATCH 213/236] updated translation --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index a9d41f1a44..a3a44e5b27 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -55,7 +55,7 @@ Se você quer ser um engenheiro de confiabilidade ou engenheiro de sistemas, est --- -## Table of Contents +## Índice - [O que é isso?](#o-que-é-isso) - [Por que usar?](#por-que-usar) From fdb64e6db0542a311919e29ba16fafd470d3f569 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:52:14 -0300 Subject: [PATCH 214/236] added link to view progress history of translation --- translations/README-ptbr.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index a3a44e5b27..2f8f3ef263 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -12,6 +12,8 @@ **Original**: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) +[Acompanhe o progresso da tradução aqui!](https://github.com/jwasham/coding-interview-university/pull/115) + **Tradutores**: [Marlon Aviz](https://github.com/avizmarlon) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=avizmarlon)), [marceloogeda](https://github.com/marceloogeda) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=marceloogeda)), [laris151](https://github.com/laris151) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=laris151)) Traduções: From 2e0b3cb6b20fd9ab53cf92bf5a7b04a93ed4e4b1 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Mon, 19 Jun 2017 20:54:37 -0300 Subject: [PATCH 215/236] minor formatting adjustement --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 2f8f3ef263..51eae1089f 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -12,7 +12,7 @@ **Original**: [Inglês](https://github.com/jwasham/coding-interview-university/blob/master/README.md) -[Acompanhe o progresso da tradução aqui!](https://github.com/jwasham/coding-interview-university/pull/115) +- [Acompanhe o progresso da tradução aqui!](https://github.com/jwasham/coding-interview-university/pull/115) **Tradutores**: [Marlon Aviz](https://github.com/avizmarlon) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=avizmarlon)), [marceloogeda](https://github.com/marceloogeda) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=marceloogeda)), [laris151](https://github.com/laris151) ([Contribuições](https://github.com/avizmarlon/google-interview-university/commits/ptbr-translation/translations/README-ptbr.md?author=laris151)) From db68e36817b69c41b305b3ed95f35f008ca37291 Mon Sep 17 00:00:00 2001 From: Fernando Kakimoto Date: Thu, 29 Jun 2017 13:11:57 -0300 Subject: [PATCH 216/236] Fix dynamo paper link. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 218e5a7d56..17f2f649be 100644 --- a/README.md +++ b/README.md @@ -1071,7 +1071,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - [ ] [2006: Bigtable: A Distributed Storage System for Structured Data](https://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf) - [An Inside Look at Google BigQuery](https://cloud.google.com/files/BigQueryTechnicalWP.pdf) - [ ] [2006: The Chubby Lock Service for Loosely-Coupled Distributed Systems](https://research.google.com/archive/chubby-osdi06.pdf) - - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](https://www.akkadia.org/drepper/cpumemory.pdf) + - [ ] [2007: Dynamo: Amazon’s Highly Available Key-value Store](http://s3.amazonaws.com/AllThingsDistributed/sosp/amazon-dynamo-sosp2007.pdf) - The Dynamo paper kicked off the NoSQL revolution - [ ] [2007: What Every Programmer Should Know About Memory (very long, and the author encourages skipping of some sections)](https://www.akkadia.org/drepper/cpumemory.pdf) - [ ] [2010: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure](https://research.google.com/pubs/archive/36356.pdf) From 39886f220eaeac3e574807f28c6cbf0629ffe400 Mon Sep 17 00:00:00 2001 From: Atul Krishna Date: Wed, 12 Jul 2017 09:51:30 +0530 Subject: [PATCH 217/236] Fixed broken links for few videos --- README.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index 17f2f649be..aa3d690070 100644 --- a/README.md +++ b/README.md @@ -238,8 +238,8 @@ Sometimes the classes are not in session so you have to wait a couple of months, - [ ] Prep Course: - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. - - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): - - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. + - [ ] [Python for Data Structures, Algorithms, and Interviews! (paid course)](https://www.udemy.com/python-for-data-structures-algorithms-and-interviews/): + - A Python centric interview prep course which covers data structures, algorithms, mock interviews and much more. ## Pick One Language for the Interview @@ -500,8 +500,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) - [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) - [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98) -- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc) +- [ ] ~~[UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98)~~ +- [ ] ~~[UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc)~~ - [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) - [ ] TopCoder (includes recurrence relations and master theorem): @@ -790,10 +790,10 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [4. System Sorts](https://www.youtube.com/watch?v=rejpZ2htBjE&index=4&list=PLe-ggMe31CTeE3x2-nF1-toca1QpuXwE1) - [ ] UC Berkeley: - - [ ] [CS 61B Lecture 29: Sorting I (video)](https://www.youtube.com/watch?v=EiUvYS2DT6I&list=PL4BBB74C7D2A1049C&index=29) - - [ ] [CS 61B Lecture 30: Sorting II (video)](https://www.youtube.com/watch?v=2hTY3t80Qsk&list=PL4BBB74C7D2A1049C&index=30) - - [ ] [CS 61B Lecture 32: Sorting III (video)](https://www.youtube.com/watch?v=Y6LOLpxg6Dc&index=32&list=PL4BBB74C7D2A1049C) - - [ ] [CS 61B Lecture 33: Sorting V (video)](https://www.youtube.com/watch?v=qNMQ4ly43p4&index=33&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 29: Sorting I (video)](https://archive.org/details/ucberkeley_webcast_EiUvYS2DT6I) + - [ ] [CS 61B Lecture 30: Sorting II (video)](https://archive.org/details/ucberkeley_webcast_2hTY3t80Qsk) + - [ ] [CS 61B Lecture 32: Sorting III (video)](https://archive.org/details/ucberkeley_webcast_Y6LOLpxg6Dc) + - [ ] [CS 61B Lecture 33: Sorting V (video)](https://archive.org/details/ucberkeley_webcast_qNMQ4ly43p4) - [ ] [Bubble Sort (video)](https://www.youtube.com/watch?v=P00xJgWzz2c&index=1&list=PL89B61F78B552C1AB) - [ ] [Analyzing Bubble Sort (video)](https://www.youtube.com/watch?v=ni_zk257Nqo&index=7&list=PL89B61F78B552C1AB) @@ -1921,15 +1921,15 @@ Sit back and enjoy. "Netflix and skill" :P - [ ] CSE373 - Analysis of Algorithms (25 videos) - [Skiena lectures from Algorithm Design Manual](https://www.youtube.com/watch?v=ZFjhkohHdAA&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=1) -- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://www.youtube.com/watch?v=mFPmKGIrQs4&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) +- [ ] [UC Berkeley 61B (Spring 2014): Data Structures (25 videos)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) -- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) +- [ ] [UC Berkeley 61B (Fall 2006): Data Structures (39 videos)](https://archive.org/details/ucberkeley-webcast-PL4BBB74C7D2A1049C) -- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://www.youtube.com/watch?v=gJJeUFyuvvg&list=PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) +- [ ] [UC Berkeley 61C: Machine Structures (26 videos)](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA_iCl2-D-FS5mk0jFF6cYSJs_) - [ ] [OOSE: Software Dev Using UML and Java (21 videos)](https://www.youtube.com/playlist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO) -- [ ] [UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr) +- [ ] ~~[UC Berkeley CS 152: Computer Architecture and Engineering (20 videos)](https://www.youtube.com/watch?v=UH0QYvtP7Rk&index=20&list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr)~~ - [ ] [MIT 6.004: Computation Structures (49 videos)](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-) From 2cf9c678bbd7091a3bf18492b29aa6d7cd5ecf7b Mon Sep 17 00:00:00 2001 From: Atul Krishna Date: Wed, 12 Jul 2017 10:09:47 +0530 Subject: [PATCH 218/236] Fixed broken links of UCB --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index aa3d690070..96a68c4f62 100644 --- a/README.md +++ b/README.md @@ -519,7 +519,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - Implement an automatically resizing vector. - [ ] Description: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - [UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s) + - ~~[UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s)~~ - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) @@ -555,8 +555,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - ### Linked Lists - [ ] Description: - [ ] [Singly Linked Lists (video)](https://www.coursera.org/learn/data-structures/lecture/kHhgK/singly-linked-lists) - - [ ] [CS 61B - Linked Lists 1 (video)](https://www.youtube.com/watch?v=htzJdKoEmO0&list=PL4BBB74C7D2A1049C&index=7) - - [ ] [CS 61B - Linked Lists 2 (video)](https://www.youtube.com/watch?v=-c4I3gFYe3w&index=8&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B - Linked Lists 1 (video)](https://archive.org/details/ucberkeley_webcast_htzJdKoEmO0) + - [ ] [CS 61B - Linked Lists 2 (video)](https://archive.org/details/ucberkeley_webcast_-c4I3gFYe3w) - [ ] [C Code (video)](https://www.youtube.com/watch?v=QN6FPiD0Gzo) - not the whole video, just portions about Node struct and memory allocation. - [ ] Linked List vs Arrays: @@ -745,7 +745,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [Heap Sort (video)](https://www.coursera.org/learn/data-structures/lecture/hSzMO/heap-sort) - [ ] [Building a heap (video)](https://www.coursera.org/learn/data-structures/lecture/dwrOS/building-a-heap) - [ ] [MIT: Heaps and Heap Sort (video)](https://www.youtube.com/watch?v=B7hVxCmfPtM&index=4&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb) - - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://www.youtube.com/watch?v=yIUFT6AKBGE&index=24&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 24: Priority Queues (video)](https://archive.org/details/ucberkeley_webcast_yIUFT6AKBGE) - [ ] [Linear Time BuildHeap (max-heap)](https://www.youtube.com/watch?v=MiyLo8adrWw) - [ ] Implement a max-heap: - [ ] insert @@ -867,8 +867,8 @@ Graphs can be used to represent many problems in computer science, so this secti - [ ] [Aduni: Graph Algorithms II - DFS, BFS, Kruskal's Algorithm, Union Find Data Structure - Lecture 7 (video)]( https://www.youtube.com/watch?v=ufj5_bppBsA&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=7) - [ ] [Aduni: Graph Algorithms III: Shortest Path - Lecture 8 (video)](https://www.youtube.com/watch?v=DiedsPsMKXc&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=8) - [ ] [Aduni: Graph Alg. IV: Intro to geometric algorithms - Lecture 9 (video)](https://www.youtube.com/watch?v=XIAQRlNkJAw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=9) - - [ ] [CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489) - - [ ] [CS 61B 2014: Weighted graphs (video)](https://www.youtube.com/watch?v=aJjlQCFwylA&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=19) + - [ ] ~~[CS 61B 2014 (starting at 58:09) (video)](https://youtu.be/dgjX4HdMI-Q?list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&t=3489)~~ + - [ ] [CS 61B 2014: Weighted graphs (video)](https://archive.org/details/ucberkeley_webcast_zFbq8vOZ_0k) - [ ] [Greedy Algorithms: Minimum Spanning Tree (video)](https://www.youtube.com/watch?v=tKwnms5iRBU&index=16&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp) - [ ] [Strongly Connected Components Kosaraju's Algorithm Graph Algorithm (video)](https://www.youtube.com/watch?v=RpgcYiky7uw) @@ -1664,7 +1664,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [MIT Lecture Notes](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2012/lecture-notes/MIT6_046JS12_lec15.pdf) - ### Augmented Data Structures - - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://youtu.be/zksIj9O8_jc?list=PL4BBB74C7D2A1049C&t=950) + - [ ] [CS 61B Lecture 39: Augmenting Data Structures](https://archive.org/details/ucberkeley_webcast_zksIj9O8_jc) - ### Balanced search trees - Know least one type of balanced binary tree (and know how it's implemented): @@ -1697,7 +1697,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo Splay trees are typically used in the implementation of caches, memory allocators, routers, garbage collectors, data compression, ropes (replacement of string used for long text strings), in Windows NT (in the virtual memory, networking and file system code) etc. - - [ ] [CS 61B: Splay Trees (video)](https://www.youtube.com/watch?v=Najzh1rYQTo&index=23&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd) + - [ ] [CS 61B: Splay Trees (video)](https://archive.org/details/ucberkeley_webcast_G5QIXywcJlY) - [ ] MIT Lecture: Splay Trees: - Gets very mathy, but watch the last 10 minutes for sure. - [Video](https://www.youtube.com/watch?v=QnPl_Y6EqMo) @@ -1731,7 +1731,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo operations on 2-4 trees are also equivalent to color-flipping and rotations in red–black trees. This makes 2-4 trees an important tool for understanding the logic behind red–black trees, and this is why many introductory algorithm texts introduce 2-4 trees just before red–black trees, even though **2-4 trees are not often used in practice**. - - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://www.youtube.com/watch?v=zqrqYXkth6Q&index=26&list=PL4BBB74C7D2A1049C) + - [ ] [CS 61B Lecture 26: Balanced Search Trees (video)](https://archive.org/details/ucberkeley_webcast_zqrqYXkth6Q) - [ ] [Bottom Up 234-Trees (video)](https://www.youtube.com/watch?v=DQdMYevEyE4&index=4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6) - [ ] [Top Down 234-Trees (video)](https://www.youtube.com/watch?v=2679VQ26Fp4&list=PLA5Lqm4uh9Bbq-E0ZnqTIa8LRaL77ica6&index=5) @@ -1774,7 +1774,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI) - ### Disjoint Sets & Union Find - - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://www.youtube.com/watch?v=MAEGXTwmUsI&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=21) + - [ ] [UCB 61B - Disjoint Sets; Sorting & selection (video)](https://archive.org/details/ucberkeley_webcast_MAEGXTwmUsI) - [ ] [Sedgewick Algorithms - Union-Find (6 videos)](https://www.youtube.com/watch?v=8mYfZeHtdNc&list=PLe-ggMe31CTexoNYnMhbHaWhQ0dvcy43t) - ### Math for Fast Processing From d39348eb7a7bf1e40223e6ffc195db6478544b3c Mon Sep 17 00:00:00 2001 From: Sandeep Pandey Date: Sun, 16 Jul 2017 17:19:21 +0530 Subject: [PATCH 219/236] Replace broken links of UC Berkeley videos with working ones from archive.org --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 96a68c4f62..00378fa858 100644 --- a/README.md +++ b/README.md @@ -500,8 +500,8 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) - [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59) - [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61) -- [ ] ~~[UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98)~~ -- [ ] ~~[UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc)~~ +- [ ] [UC Berkeley Big O (video)](https://archive.org/details/ucberkeley_webcast_VIS4YDpuP98) +- [ ] [UC Berkeley Big Omega (video)](https://archive.org/details/ucberkeley_webcast_ca3e7UVmeUc) - [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63) - [ ] TopCoder (includes recurrence relations and master theorem): @@ -519,7 +519,7 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input - Implement an automatically resizing vector. - [ ] Description: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - - ~~[UCBerkley CS61B - Linear and Multi-Dim Arrays (video)](https://youtu.be/Wp8oiO_CZZE?t=15m32s)~~ + - [UC Berkeley CS61B - Linear and Multi-Dim Arrays (video)](https://archive.org/details/ucberkeley_webcast_Wp8oiO_CZZE) (Start watching from 15m 32s) - [Basic Arrays (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - [Multi-dim (video)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - [Dynamic Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) From 5c15cced81330f84617470af0f4b97f66a0a7665 Mon Sep 17 00:00:00 2001 From: Karl Kwon Date: Fri, 21 Jul 2017 14:22:17 -0400 Subject: [PATCH 220/236] =?UTF-8?q?add=20=ED=95=9C=EA=B5=AD=EC=96=B4=20for?= =?UTF-8?q?=20Korean=20to=20easy=20to=20spot?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 00378fa858..e5e1415ee6 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ Translations in progress: - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) -- [Korean](https://github.com/jwasham/coding-interview-university/issues/118) +- [Korean(한국어)](https://github.com/jwasham/coding-interview-university/issues/118) - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) - [German](https://github.com/jwasham/coding-interview-university/issues/135) From 9042fe8ddffed55cddc30005d73a6395cee7abf5 Mon Sep 17 00:00:00 2001 From: Sourabh Mhaisekar Date: Tue, 1 Aug 2017 22:11:05 +0530 Subject: [PATCH 221/236] Update README-hi.md --- README-hi.md | 247 ++++++++++++++++++++++++++++++++++++++------------- 1 file changed, 186 insertions(+), 61 deletions(-) diff --git a/README-hi.md b/README-hi.md index fb986aa3c2..c8b917108e 100644 --- a/README-hi.md +++ b/README-hi.md @@ -1,16 +1,21 @@ -# Google Interview University +# कोडिंग साक्षात्कार विश्वविद्यालय +>मैं मूल रूप से इसे एक सॉफ़्टवेयर इंजीनियर बनने के लिए अध्ययन विषयों की एक छोटी-छोटी सूची के रूप में बनाया था, लेकिन यह आज की बड़ी सूची में बढ़ी है। इस अध्ययन योजना के माध्यम से जाने के बाद, [मुझे अमेज़ॅन पर सॉफ़्टवेयर डेवलपमेंट इंजीनियर के रूप में काम पर रखा गया है !](https://startupnextdoor.com/ive-been-acquired-by->amazon/?src=ciu) आपको संभवतः जितना मैंने किया उतना ही पढ़ना नहीं होगा। वैसे भी, आपको जो भी चाहिए वह यहां है +> +>यहां सूचीबद्ध आइटम आपको किसी साफ्टवेयर कंपनी के बारे में साक्षात्कार में अच्छी तरह से तैयार करेंगे, जिनमें दिग्गज, अमेज़ॅन, फेसबुक, गूगल या माइक्रोसॉफ्ट शामिल हैं। +> +>आपको शुभकामनाएं! ## यह क्या है? - -यह मेरी एक वेब डेवलपर ( खुद से सीखा हुआ , बिना किसी कंप्यूटर साइंस डिग्री के ) से एक बड़ी कंपनी के लिए सॉफ्टवेयर इंजीनियर बनने की कई महीनो की योजना है । +यह एक बड़ी कंपनी के लिए सॉफ्टवेयर इंजीनियर को वेब डेवलपर (स्वयं सिखाया, कोई सीएस डिग्री नहीं) से जाने के लिए मेरी बहु-महीने की अध्ययन योजना है ![Coding at the whiteboard - from HBO's Silicon Valley](https://dng5l3qzreal6.cloudfront.net/2016/Aug/coding_board_small-1470866369118.jpg) -यह सामुग्री नये सॉफ्टवेयर इंजिनियर या जो सॉफ्टवेयर/वेब डेवलपमेंट से सॉफ्टवेर इंजीनियरिंग (जहा कंप्यूटर साइंस का ज्ञान जरुरी हे) में प्रवेश करना चाहते हे उनके लिए हे. अगर आपके पास अनेक वर्षो का अनुभव हैं तो आपका इंटरव्यू कठिन हो सकता हैं. +यह नए सॉफ़्टवेयर इंजीनियरों या सॉफ़्टवेयर / वेब विकास से सॉफ़्टवेयर इंजीनियरिंग (जहां कंप्यूटर साइंस ज्ञान आवश्यक है) से स्विच करने के लिए है। यदि आपके पास कई वर्षों का अनुभव है और कई वर्षों के सॉफ्टवेयर इंजीनियरिंग अनुभव का दावा कर रहे हैं, तो एक कठिन साक्षात्कार की अपेक्षा करें। + +यदि आपके पास सॉफ्टवेयर / वेब विकास के कई सालों का अनुभव है, तो ध्यान दें कि सॉफ्टवेयर, वेब डेवलपमेंट से भिन्न Google, अमेज़ॅन, फेसबुक और माइक्रोसॉफ्ट दृश्य सॉफ्टवेयर इंजीनियरिंग जैसी बड़ी सॉफ्टवेयर कंपनियों और उन्हें कंप्यूटर साइंस ज्ञान की आवश्यकता होती है। -अगर आपके पास कई सालो का सॉफ्टवेर/वेब डेवलपमेंट का अनुभव हैं तो ध्यान दे की बड़ी कंपनिया जैसे गूगल, Amzaon, फेसबुक और माइक्रोसॉफ्ट सॉफ्टवेर इंजीनियरिंग सॉफ्टवेर/वेब डेवलपमेंट से अलग समज़ती हैं, और आपको कंप्यूटर साइंस का ज्ञान होना जरुरी हैं +यदि आप एक विश्वसनीयता इंजीनियर या सिस्टम इंजीनियर बनना चाहते हैं, तो वैकल्पिक सूची (नेटवर्किंग, सुरक्षा) से अधिक जानें। -अगर आपको रिलायबिलिटी इंजिनियर या सिस्टम इंजिनियर बनना हैं तो वैकल्पिक सूचि से ज्यादा अद्धयन करे. --- ## अनुक्रमणिका @@ -123,13 +128,13 @@ memory" का एरर न दे, और तब मुजे कोई वै ## कभी भी आप चालाक नहीं हो ऐसा ना सोचो -- गोगल के अभियंता चालाक होते हें, पर बहुत लोगो असुरक्षा होती है की वो चालाक नहीं हैं, जबकि वो गूगल में काम करते हैं! +- सफल सॉफ्टवेयर इंजीनियर चालाक होते हें, पर बहुत लोगो असुरक्षा होती है की वो चालाक नहीं हैं ! - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) ## विडियो संसाधनों के बारे में कुछ विडियो सिर्फ Coursera, EdX, or Lynda.com के वर्ग में दाखिला लेने का बाद ही उपलब्ध हैं. उन्हें MOOC कहा जाता हैं. -It is free to do so, but sometimes the classes are not in session so you have to wait a couple of months, so you have no access. +कभी-कभी कक्षाएं सत्र में नहीं होती हैं इसलिए आपको कुछ महीने इंतजार करना पड़ता है, इसलिए आपके पास पहुंच नहीं है। Lynda.com पाठ्यक्रम मुफ्त नहीं हैं I'd appreciate your help converting the MOOC video links to public sources to replace the online course विडियो over time. I like using university lectures. @@ -158,18 +163,135 @@ It is free to do so, but sometimes the classes are not in session so you have to - JavaScript - Ruby -आप भाषा में बहुत सहज हो, और उसकी जानकार होने की जरूरत है. +आपको भाषा में बहुत सहज होना चाहिए और जानकार होना चाहिए। विकल्पों के बारे में अधिक पढ़ें: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ -- https://www.quora.com/What-is-the-best-language-to-program-in-for-an-in-person-Google-interview [भाषा संसाधनोंको यहाँ देखें](programming-language-resources.md) क्युकी में मैं पढ़ रहा हूँ, आपको कुछ C, C++, और Python शामिल दिखेगा. वहाँ कुछ शामिल किताबें, नीचे आखिर में देख ले. +## पुस्तक सूची +यह मैंने जो इस्तेमाल किया था उससे छोटी सूची है यह आपको समय बचाने के लिए संक्षिप्त है + +### इंटरव्यू प्रेप +- [ ] प्रोग्रामिंग साक्षात्कार का खुलासा: आपकी अगली नौकरी, दूसरी संस्करण को लैंडिंग करने के लिए रहस्य + - सी ++ और जावा में जवाब + - यह कोडिंग साक्षात्कार के लिए क्रैकिंग के लिए एक अच्छा वार्म-अप है + - बहुत मुश्किल नहीं है, सबसे अधिक समस्याएं आपको साक्षात्कार में जो दिखाई दे रही हैं उससे अधिक आसान हो सकती हैं (मैंने जो पढ़ा है) +- [ ] कोडिंग साक्षात्कार, 6 वें संस्करण + - जावा में जवाब + +यदि आपके पास बहुत अधिक समय है: + +- [ ] [प्रोग्रामिंग साक्षात्कार के तत्व (सी ++ संस्करण)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) +- [ ] प्रोग्रामिंग साक्षात्कार के तत्व (जावा संस्करण) + - [किताब](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) + - [कम्पेनियन प्रोजेक्ट - पुस्तक में हर समस्या के लिए विधि स्टब और टेस्ट](https://github.com/gardncl/elements-of-programming-interviews) + +### कंप्यूटर आर्किटेक्चर + +यदि कम समय पर: + +- [ ] [ग्रेट कोड लिखें: वॉल्यूम 1: मशीन को समझना](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) + - यह पुस्तक 2004 में प्रकाशित हुई थी, और कुछ समय पुरानी है, लेकिन संक्षिप्त में एक कम्प्यूटर को समझने के लिए यह एक बढ़िया संसाधन है। + - लेखक ने एचएलए का आविष्कार किया, इसलिए नमक के एक अनाज के साथ एचएलए में उल्लेख और उदाहरण ले लीजिए। व्यापक रूप से उपयोग नहीं किया जाता है, लेकिन सभ्य उदाहरण कौन सी की तरह लग रहा है। + - ये अध्याय आपको एक अच्छी नींव देने के लिए पढ़ने योग्य हैं: + - अध्याय 2 - संख्यात्मक प्रतिनिधित्व + - अध्याय 3 - बाइनरी अंकगणित और बिट ऑपरेशंस + - अध्याय 4 - फ़्लोटिंग-प्वाइंट प्रस्तुति + - अध्याय 5 - चरित्र प्रतिनिधित्व + - अध्याय 6 - मेमोरी संगठन और एक्सेस + - अध्याय 7 - संमिश्र डेटा प्रकार और स्मृति वस्तुएं + - अध्याय 9 - सीपीयू वास्तुकला + - अध्याय 10 - निर्देश सेट आर्किटेक्चर + - अध्याय 11 - स्मृति वास्तुकला और संगठन + +यदि आपके पास अधिक समय है (मुझे यह किताब चाहिए): + +- [ ] [कंप्यूटर वास्तुकला, पांचवें संस्करण: एक मात्रात्मक दृष्टिकोण](https://www.amazon.com/dp/012383872X/) + - एक अमीर, अधिक अप-टू-डेट (2011) के लिए, लेकिन लंबे समय तक उपचार + +### भाषा विशिष्ट + +**साक्षात्कार के लिए आपको भाषा चुननी होगी (ऊपर देखें)।** यहां मेरी सिफारिशें भाषा के अनुसार हैं मेरे पास सभी भाषाओं के लिए संसाधन नहीं हैं मैं अतिरिक्त स्वागत करता हूँ + +यदि आप इनमें से किसी एक को पढ़ते हैं, तो आपको सभी डेटा संरचनाएं और एल्गोरिदम ज्ञान होना चाहिए, आपको कोडिंग समस्याएं शुरू करने की आवश्यकता होगी। **आप इस प्रोजेक्ट में सभी वीडियो व्याख्यान छोड़ सकते हैं** , अगर आप समीक्षा पसंद नहीं करते। + +[यहां अतिरिक्त भाषा-विशिष्ट संसाधन हैं]((programming-language-resources.md) + + +### सी ++ + +मैंने इन दोनों को नहीं पढ़ा है, लेकिन वे बेहद रेटेड हैं और सेंडविक द्वारा लिखित हैं वह बहुत अच्छा है। + +- [ ] [सी ++ में अल्गोरिदम, भाग 1-4: बुनियादी बातों, डेटा संरचना, छंटनी, खोज](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) +- [ ] [सी ++ भाग 5 में एल्गोरिदम: ग्राफ़ एल्गोरिदम](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) + +यदि आपके पास सी ++ के लिए बेहतर सिफारिश है, तो कृपया मुझे बताएं एक व्यापक संसाधन की तलाश में + +### जावा + +- [ ] [एल्गोरिदम (सेडगेविक और वेन)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) + - पुस्तक सामग्री के साथ वीडियो (और सेडगेविक!): + - [एल्गोरिदम I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) + - [एल्गोरिदम II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) +या: + +- [ ] [जावा में डाटा स्ट्रक्चर और एल्गोरिदम](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) + - गुडरिक, तामासिया, गोल्डवासेर द्वारा + - यूसी बर्कले में सीएस परिचय पाठ्यक्रम के लिए वैकल्पिक पाठ के रूप में प्रयोग किया जाता है + - नीचे दिए गए अजगर संस्करण पर मेरी पुस्तक रिपोर्ट देखें। यह पुस्तक उसी विषयों को शामिल करती है + +### Python + +- [ ] [पायथन में डेटा स्ट्रक्चर और एल्गोरिदम](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) + - गुडरिक, तामासिया, गोल्डवासेर द्वारा + - मुझे यह पुस्तक पसंद है यह सब कुछ और अधिक कवर किया + - पायथनिक कोड + - मेरी चमकती पुस्तक रिपोर्ट: https://startupnextdoor.com/book-report-data-structures-and-lgorithms-in-python/sss + +### वैकल्पिक पुस्तकें + +**कुछ लोग ये सुझाते हैं, लेकिन मुझे लगता है कि यह ज़्यादा पानी में जा रहा है, जब तक कि आपके पास कई सालों तक सॉफ्टवेयर इंजीनियरिंग अनुभव न हो और बहुत कठिन साक्षात्कार की अपेक्षा करें:** + +- [ ] [एल्गोरिदम डिजाइन मैनुअल (स्कीएना)](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) + - एक समीक्षा और समस्या पहचान के रूप में + - एल्गोरिथ्म सूची हिस्सेदारी आप एक साक्षात्कार में मिल जाएगा कठिनाई के दायरे से परे है। + - इस पुस्तक में 2 भाग हैं: + - डेटा संरचनाओं और एल्गोरिदम पर कक्षा पाठ्यपुस्तक + - पेशेवरों: + - एक अच्छी समीक्षा है क्योंकि किसी भी एल्गोरिदम पाठ्यपुस्तक होंगे + - उद्योग और शिक्षा के क्षेत्र में समस्याओं को सुलझाने के अपने अनुभवों से अच्छी कहानियां + - सी में कोड उदाहरण + - विपक्ष: + - CLRS के रूप में घने या अभेद्य हो सकता है, और कुछ मामलों में, CLRS कुछ विषयों के लिए एक बेहतर विकल्प हो सकता है + - अध्याय 7, 8, 9 का पालन करने की कोशिश करने के लिए दर्दनाक हो सकता है, क्योंकि कुछ वस्तुएं अच्छी तरह समझाई नहीं जाती हैं या मुझे जितना अधिक मस्तिष्क की ज़रूरत नहीं है + - मुझे गलत मत बताना: मुझे स्कीएना, उनकी शिक्षण शैली और व्यवहार, लेकिन मैं स्टोनी ब्रूक सामग्री नहीं हो सकता + - एल्गोरिथ्म सूची: + - यह वास्तविक कारण है कि आप इस पुस्तक को खरीदते हैं। + - इस भाग के बारे में जानने के लिए एक बार मैं इसके माध्यम से अपना रास्ता बना लिया है यहाँ अद्यतन होगा। + - Kindle पर इसे किराए पर कर सकते हैं + - अच्छे दामों पर पाठ्य पुस्तकें के लिए Half.com एक महान संसाधन है + - उत्तर: + - [समाधान की](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) + - [समाधान की](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) + - [शुद्धिपत्र](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) + +- [ ] [एल्गोरिदम का परिचय]((https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844)) + - **महत्वपूर्ण:** इस पुस्तक को पढ़ना केवल सीमित मूल्य होगा। यह पुस्तक एल्गोरिदम और डेटा संरचनाओं की एक अच्छी समीक्षा है, लेकिन आपको यह नहीं सिखाती कि अच्छे कोड कैसे लिखें। आपको एक सभ्य समाधान को कुशलतापूर्वक कोडित करने में सक्षम होना होगा। + - अच्छे दामों पर पाठ्य पुस्तकें के लिए Half.com एक महान संसाधन है + - उर्फ सीएलआर, कभी कभी सीएलआरएस, क्योंकि स्टीन को खेल में देर हो गई थी + - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) + - पहले अध्यायों में प्रोग्रामिंग समस्याओं (कुछ बहुत पुराने डेटा टेप का उपयोग करते हुए) के लिए चतुर समाधान प्रस्तुत करते हैं, लेकिन यह सिर्फ एक परिचय है। यह प्रोग्राम डिजाइन और आर्किटेक्चर पर एक गाइडबुक है, जो कोड कोड जैसा है, लेकिन बहुत छोटा है। + +- ~~शेन द्वारा "एल्गोरिदम और प्रोग्रामिंग: प्रॉब्लम एंड सॉल्यूशंस"~~ + - एक अच्छी किताब, लेकिन कई पन्नों पर समस्याओं के माध्यम से काम करने के बाद मैं पास्कल से निराश हो गया, जबकि लूप, 1-अनुक्रमित सरणियां, और अस्पष्ट पद की स्थिति की संतुष्टि परिणाम + - बल्कि किसी अन्य पुस्तक या ऑनलाइन कोडिंग समस्याओं से कोडिंग समस्याओं पर समय बिताना होगा। + ## प्रारंभ करने से पहले इस सूची में कई महीनों से वृद्धि हुई है, और हाँ, यह एक तरह से हाथ से बाहर हो गयी हैं @@ -178,34 +300,41 @@ It is free to do so, but sometimes the classes are not in session so you have to ### १. आपसे यह सब याद नहीं होगा -मैंने घंटो वीडिय के विडियो देखे और टिप्पणिया लिखी, और महीनो बाद मुजे कुछ याद नहीं रहा. सबकी समीक्षा करने के लिए मैंने 3 दिन मेरी तिप्पनिओयो और flashcards बनाने में बितायें (नीचे देखें). +मैंने घंटो वीडिय के विडियो देखे और टिप्पणिया लिखी, और महीनो बाद मुजे कुछ याद नहीं रहा. सबकी समीक्षा करने के लिए मैंने 3 दिन मेरी तिप्पनिओयो और flashcards बनाने में बितायें +कृपया पढ़ें तो आप मेरी गलतियां नहीं करेंगे: + +[कंप्यूटर विज्ञान ज्ञान को बनाए रखना](https://startupnextdoor.com/retaining-computer-science-knowledge/) ### २. फ्लाश्कार्ड्स का उपयोग कीजिये +इस समस्या को हल करने के लिए, मैंने एक छोटे से फ्लैशकार्ड साइट बनाई जहां मैं 2 प्रकार के फ्लैशकार्ड जोड़ सकता था: सामान्य और कोड प्रत्येक कार्ड के पास भिन्न स्वरूपण है। + +मैंने एक मोबाइल-पहले वेबसाइट बनाई है, इसलिए मैं अपने फोन और टैबलेट पर समीक्षा कर सकता हूं, जहां कहीं भी हूं। -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +अपना खुद का मुफ्त बनाएं: + - [फ़्लैशकार्ड साइट रेपो] (https://github.com/jwasham/computer-science-flash-cards) + - [मेरे फ़्लैश कार्ड डेटाबेस (पुराने - 1200 कार्ड) :](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db) + - [मेरा फ़्लैश कार्ड डेटाबेस (नया - 1800 कार्ड) :](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db) -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +ध्यान रखें मैं जहाज़ के ऊपर गया और विधानसभा भाषा और पायथन तुल्यता से लेकर मशीन सीखने और आंकड़ों तक सब कुछ कवर करने वाले कार्ड हैं। इसकी आवश्यकता के लिए यह बहुत अधिक है -Make your own for free: +**फ्लैशकार्ड्स पर ध्यान दें:** पहली बार जब आप पहचानते हैं कि आपको जवाब पता है, तो इसे ज्ञात के रूप में चिह्नित नहीं करें आपको उसी कार्ड को देखना होगा और उसे सच में पता होना चाहिए इससे पहले कि आप इसे सच में जानते हैं। पुनरावृत्ति आपके दिमाग में गहरा ज्ञान डाल देगा। -- [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required by Google. +मेरी फ्लैशकार्ड साइट का उपयोग करने का एक विकल्प अनकी है , जिसे कई बार मेरी सिफारिश की गई है यह आपको याद रखने में मदद करने के लिए पुनरावृत्ति प्रणाली का उपयोग करता है यह उपयोगकर्ता के अनुकूल है, सभी प्लेटफ़ॉर्म पर उपलब्ध है और इसमें क्लाउड सिंक सिस्टम है यह आईओएस पर $ 25 का खर्च है, लेकिन अन्य प्लेटफार्मों पर मुफ्त है -**Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the -same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in -your brain. +अनू प्रारूप में मेरा फ्लैशकार्ड डाटाबेस: https://ankiweb.net/shared/info/25173560 (धन्यवाद @ एक्सआईवेनिया ) -### 3. Review, review, review -I keep a set of cheatsheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. -Take a break from programming problems for a half hour and go through your flashcards. +### 3. समीक्षा करें, समीक्षा करें, समीक्षा करें -### 4. Focus +मैं ASCII ओएसआई स्टैक, बिग-ओ नोटेशन और अधिक पर धोखा पत्रों का एक सेट रखता हूं। मेरे पास कुछ खाली समय है जब मैं उन्हें पढ़ता हूं। -There are a lot of distractions that can take up valuable time. Focus and concentration is hard. +एक आधे घंटे के लिए प्रोग्रामिंग समस्याओं से एक ब्रेक ले लो और अपने flashcards के माध्यम से जाना + +### 4. फोकस + +ऐसे कई विकर्षण हैं जो कि मूल्यवान समय ले सकते हैं फोकस और एकाग्रता कठिन हैं ## इसमे क्या समाविष्ट नहीं हे @@ -220,47 +349,43 @@ There are a lot of distractions that can take up valuable time. Focus and concen कुछ विषय एक दिन ले सकते हैं और कुछ ज्यादा.कुचो का सिर्फ पढाई हो सकती हैं पर अमल नहीं हो सकता. हर दिन मैं निचली सूचि से एक विषय लेता हु, उसका विडियो देखता हु, और उसका अमल निचे दिए तरह करता हूँ: -   C - struct और function का उपयोग करके जो  struct * या args का  उपयोग करते हैं. -   C++ - built-in types का उपयोग न करके -   C++ - built-in types का उपयोग करके, जैसे STL की std::list, linked list के लिए -   Python - built-in types का उपयोग करके (Python का अभ्यास रखने के लिए) - and write tests to ensure I'm doing it right, sometimes just using simple assert() statements - You may do Java or something else, this is just my thing. - -Why code in all of these? - Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) - Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) - Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) - -I may not have time to do all of these for every subject, but I'll try. - -You can see my code here: - - [C] (https://github.com/jwasham/practice-c) - - [C++] (https://github.com/jwasham/practice-cpp) - - [Python] (https://github.com/jwasham/practice-python) - -You don't need to memorize the guts of every algorithm. - -Write code on a whiteboard, not a computer. Test with some sample inputs. Then test it out on a computer. - -## Prerequisite Knowledge +- C - struct और function का उपयोग करके जो  struct * या args का  उपयोग करते हैं. +- C++ - built-in types का उपयोग न करके +- C++ - built-in types का उपयोग करके, जैसे STL की std::list, linked list के लिए +- Python - built-in types का उपयोग करके (Python का अभ्यास रखने के लिए) +- और यह सुनिश्चित करने के लिए परीक्षण लिखते हैं कि मैं इसे सही कर रहा हूं, कभी-कभी बस सरल () कथन का उपयोग कर +- आप जावा या कुछ और कर सकते हैं, यह सिर्फ मेरी बात है +आपको इन सभी की ज़रूरत नहीं है साक्षात्कार के लिए आपको केवल एक ही भाषा की आवश्यकता है + +इन सब में कोड क्यों? +- अभ्यास, अभ्यास, अभ्यास, जब तक मैं इससे बीमार न हो, और यह कोई समस्या नहीं कर सकता (कुछ बहुत बढ़िया मामलों और याद रखने के लिए बहीखाता विवरण) +- कच्ची बाधाओं के भीतर काम करना (कचरा संग्रहण की सहायता के बिना स्मृति को आवंटित करना / मुक्त करना (पायथन को छोड़कर)) +- अंतर्निहित प्रकारों का उपयोग करें, इसलिए मुझे वास्तविक दुनिया के उपयोग के लिए निर्मित उपकरणों का उपयोग करने का अनुभव है (उत्पादन में अपनी स्वयं की लिंक्ड सूची कार्यान्वयन नहीं लिखना) + +मेरे पास हर विषय के लिए ये सब करने का समय नहीं है, लेकिन मैं कोशिश करूँगा + +आप यहां अपना कोड देख सकते हैं: + - [C](https://github.com/jwasham/practice-c) + - [C++](https://github.com/jwasham/practice-cpp) + - [Python](https://github.com/jwasham/practice-python) + +आपको हर एल्गोरिथम याद करने की आवश्यकता नहीं है। -- [ ] **How computers process a program:** - - [ ] [How does CPU execute program (विडियो)](https://www.youtube.com/watch?v=42KTvGYQYnA) - - [ ] [Machine Code Instructions (विडियो)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) +एक व्हाईटबोर्ड या कागज़ पर कोड लिखें, कंप्यूटर नहीं। कुछ नमूना इनपुट के साथ टेस्ट करें फिर इसे कंप्यूटर पर जांचें -- [ ] **How floating point numbers are stored:** - - [ ] simple 8-bit: [Fractions in binary? (विडियो)](http://math.stackexchange.com/questions/301435/fractions-in-binary) - - [ ] 32 bit: [Representation of Floating Point Numbers - 1 (विडियो)](https://www.youtube.com/watch?v=ji3SfClm8TU) - - [ ] 64 bit: [IEEE754 32-bit floating point binary (विडियो)](https://www.youtube.com/watch?v=50ZYcZebIec) + ## पूर्वाभ्यास ज्ञान -- [ ] **Computer Arch Intro:** - (first video only - interesting but not required) [Introduction and Basics - Carnegie Mellon - Computer Architecture](https://www.youtube.com/watch?v=zLP_X4wyHbY&list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq&index=1) + - [ ] **C जानें** + - सी हर जगह है आप पुस्तकों, व्याख्यान, वीडियो, हर जगह जब आप पढ़ रहे हैं, में उदाहरण देखेंगे। + - [ ] [सी प्रोग्रामिंग भाषा, खंड 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) + - यह एक छोटी पुस्तक है, लेकिन यह आपको सी भाषा पर एक महान संभाल देगा और यदि आप इसे थोड़ा अभ्यास करते हैं तो आपको जल्दी से कुशल मिलेगा। समझना सी आपको यह समझने में मदद करता है कि प्रोग्राम और मेमोरी कैसे काम करते हैं + - [सवालों के जवाब](https://github.com/lekkas/c-algorithms) -- [ ] **Compilers** - - [ ] [C++ (विडियो)](https://www.youtube.com/watch?v=twodd1KFfGk) - - [ ] [Understanding Compiler Optimization (C++) (विडियो)](https://www.youtube.com/watch?v=FnGCDLhaxKU) +- [ ] **कंप्यूटर एक प्रोग्राम की प्रक्रिया कैसे करते हैं:** + - [ ] [कैसे सीपीयू प्रोग्राम निष्पादित करता है (वीडियो)](https://www.youtube.com/watch?v=42KTvGYQYnA) + - [ ] [मशीन कोड निर्देश (वीडियो)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) +-- Sourabh -- ## Algorithmic complexity / Big-O / Asymptotic analysis - nothing to implement - [ ] [Harvard CS50 - Asymptotic Notation (विडियो)](https://www.youtube.com/watch?v=iOq5kSKqeR4) From 7f58fa702ff43e786142eb473ef33d0cc716a1cd Mon Sep 17 00:00:00 2001 From: Sourabh Mhaisekar Date: Sat, 12 Aug 2017 12:13:35 +0530 Subject: [PATCH 222/236] Update README-hi.md --- README-hi.md | 35 ++++++++++++++++------------------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/README-hi.md b/README-hi.md index c8b917108e..087cc8bb92 100644 --- a/README-hi.md +++ b/README-hi.md @@ -15,7 +15,7 @@ यदि आपके पास सॉफ्टवेयर / वेब विकास के कई सालों का अनुभव है, तो ध्यान दें कि सॉफ्टवेयर, वेब डेवलपमेंट से भिन्न Google, अमेज़ॅन, फेसबुक और माइक्रोसॉफ्ट दृश्य सॉफ्टवेयर इंजीनियरिंग जैसी बड़ी सॉफ्टवेयर कंपनियों और उन्हें कंप्यूटर साइंस ज्ञान की आवश्यकता होती है। यदि आप एक विश्वसनीयता इंजीनियर या सिस्टम इंजीनियर बनना चाहते हैं, तो वैकल्पिक सूची (नेटवर्किंग, सुरक्षा) से अधिक जानें। - +चाहिए --- ## अनुक्रमणिका @@ -385,37 +385,34 @@ memory" का एरर न दे, और तब मुजे कोई वै - [ ] [कैसे सीपीयू प्रोग्राम निष्पादित करता है (वीडियो)](https://www.youtube.com/watch?v=42KTvGYQYnA) - [ ] [मशीन कोड निर्देश (वीडियो)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) --- Sourabh -- -## Algorithmic complexity / Big-O / Asymptotic analysis -- nothing to implement -- [ ] [Harvard CS50 - Asymptotic Notation (विडियो)](https://www.youtube.com/watch?v=iOq5kSKqeR4) -- [ ] [Big O Notations (general quick tutorial) (विडियो)](https://www.youtube.com/watch?v=V6mKVRU1evU) -- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (विडियो)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) +## एल्गोरिथम जटिलता / बिग-ओ / असिम्प्टोोटिक विश्लेषण +- लागू करने के लिए कुछ भी नहीं +- [ ] [ हार्वर्ड सीएस 50 - असिमप्टोटीक नोटेशन (वीडियो)](https://www.youtube.com/watch?v=iOq5kSKqeR4) +- [ ] [ बिग ओ नोट्स (सामान्य त्वरित ट्यूटोरियल) (वीडियो)](https://www.youtube.com/watch?v=V6mKVRU1evU) +- [ ] [ बिग ओ नोटेशन (और ओमेगा और थीटा) - सर्वोत्तम गणितीय व्याख्या (वीडियो)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] Skiena: - [विडियो](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b) - - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) -- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/) -- [ ] [Orders of Growth (विडियो)](https://class.coursera.org/algorithmicthink1-004/lecture/59) + - [स्लाइड](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf) +- [ ] [एल्गोरिथ्म जटिलता विश्लेषण के लिए एक कोमल परिचय](http://discrete.gr/complexity/) +- [ ] [विकास के आदेश (वीडियो)](https://class.coursera.org/algorithmicthink1-004/lecture/59) - [ ] [Asymptotics (विडियो)](https://class.coursera.org/algorithmicthink1-004/lecture/61) - [ ] [UC बर्कले Big O (विडियो)](https://youtu.be/VIS4YDpuP98) - [ ] [UC बर्कले Big Omega (विडियो)](https://youtu.be/ca3e7UVmeUc) - [ ] [Amortized Analysis (विडियो)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN) - [ ] [Illustrating "Big O" (विडियो)](https://class.coursera.org/algorithmicthink1-004/lecture/63) -- [ ] TopCoder (includes recurrence relations and master theorem): - - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) - - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) +- [ ] टॉपकोडर (पुनरावृत्ति संबंध और मास्टर प्रमेय भी शामिल है): + - [कम्प्यूटेशनल जटिलता: धारा 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/) + - [कम्प्यूटेशनल जटिलता: धारा 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/) - [ ] [Cheat sheet](http://bigocheatsheet.com/) - If some of the lectures are too mathy, you can jump down to the bottom and - watch the discrete mathematics विडियो to get the background knowledge. -## Data Structures +## डेटा संरचनाएं - ### Arrays - - Implement an automatically resizing vector. - - [ ] Description: - - [Arrays (विडियो)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) + - एक स्वचालित रीसाइज़िंग वेक्टर को लागू करें + - [ ] विवरण: + - [एरे (विडियो)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) - [Basic Arrays (विडियो)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Basic-arrays/149042/177104-4.html) - [Multi-dim (विडियो)](https://www.lynda.com/Developer-Programming-Foundations-tutorials/Multidimensional-arrays/149042/177105-4.html) - [Dynamic Arrays (विडियो)](https://www.coursera.org/learn/data-structures/lecture/EwbnV/dynamic-arrays) From f93160cdad59df7031dc45094533efd9bbd91952 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Tue, 29 Aug 2017 02:04:37 -0300 Subject: [PATCH 223/236] updated according to English version --- translations/README-ptbr.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 51eae1089f..7ed98399a2 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -31,7 +31,7 @@ Traduções em progresso: - [French](https://github.com/jwasham/coding-interview-university/issues/89) - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) -- [Korean](https://github.com/jwasham/coding-interview-university/issues/118) +- [Korean(한국어)](https://github.com/jwasham/coding-interview-university/issues/118) - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) - [German](https://github.com/jwasham/coding-interview-university/issues/135) @@ -1965,4 +1965,4 @@ Sente-se e aproveite. "Netflix e habilidade" :P ## Cursos de Ciência da Computação - [Diretório de Cursos Online de Ciência da Computação](https://github.com/open-source-society/computer-science) -- [Diretório de Cursos Online de Ciência da Computação (muitos com aulas online)](https://github.com/prakhar1989/awesome-courses) \ No newline at end of file +- [Diretório de Cursos Online de Ciência da Computação (muitos com aulas online)](https://github.com/prakhar1989/awesome-courses) From 16962df848c3fca557ca42032fb7b1ae435a4156 Mon Sep 17 00:00:00 2001 From: Seung Min Lee Date: Fri, 8 Sep 2017 18:13:55 +0900 Subject: [PATCH 224/236] Fix Incorrect translation --- translations/README-ko.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ko.md b/translations/README-ko.md index 8401d9135c..72883b589b 100644 --- a/translations/README-ko.md +++ b/translations/README-ko.md @@ -230,7 +230,7 @@ I'm in the queue right now. Hope to interview soon. ## 당신은 충분히 똑똑합니다 - 구글 엔지니어들은 똑똑합니다. 하지만 그들 조차도 자신들의 지적 능력면에 대해서 불안감을 갖기 일쑤입니다. -- [천재 프로그래머의 미스터리](https://www.youtube.com/watch?v=0SARbwvhupQ) +- [천재 프로그래머에 대한 미신(迷信)](https://www.youtube.com/watch?v=0SARbwvhupQ) - [위험한 홀로서기: 테크 산업의 보이지 않는 괴물들의 전쟁](https://www.youtube.com/watch?v=1i8ylq4j_EY) ## 구글에 대해 From 77fed9ea1cb1a9c1ecf397d30a1705ed5a3b9b40 Mon Sep 17 00:00:00 2001 From: Bhoomi Vasishtha <30810700+bvasisht@users.noreply.github.com> Date: Sun, 10 Sep 2017 12:03:20 -0700 Subject: [PATCH 225/236] added big o cheat sheet --- extras/cheat sheets/big-o-cheatsheet.pdf | Bin 0 -> 260943 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 extras/cheat sheets/big-o-cheatsheet.pdf diff --git a/extras/cheat sheets/big-o-cheatsheet.pdf b/extras/cheat sheets/big-o-cheatsheet.pdf new file mode 100644 index 0000000000000000000000000000000000000000..1bacafef427202e64a3416d9067eea4407c0b555 GIT binary patch literal 260943 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zxtW@n8an~YG8bU8#nI5&#mUhXIO}g<>1b-;>S`AYSso5tNC{pK0&GGW8JKdZs=E5S GaRC6fp;}%5 literal 0 HcmV?d00001 From fc23ae1a64dea80345fd544c017c10dbcee61bdc Mon Sep 17 00:00:00 2001 From: Omer Gelbard Date: Thu, 31 Aug 2017 21:01:12 -0700 Subject: [PATCH 226/236] * Fixed a typo in Hebrew in the word 'search' * Fixed link to Interview Process & General Interview Prep in Hebrew * Added Hebrew translations for coding challenges/mock interviews section. --- README-he.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/README-he.md b/README-he.md index 4a8fdb1cd5..3daf08de61 100644 --- a/README-he.md +++ b/README-he.md @@ -222,7 +222,7 @@ Print out a "[future Googler](https://github.com/jwasham/google-interview-univer ## אודות גוגל - [ ] לסטודנטים - [Google Careers: Technical Development Guide](https://www.google.com/about/careers/students/guide-to-technical-development.html) -- [ ] איך החיפש עובד: +- [ ] איך החיפוש עובד: - [ ] [The Evolution of Search (video)](https://www.youtube.com/watch?v=mTBShTwCnD4) - [ ] [How Search Works - the story](https://www.google.com/insidesearch/howsearchworks/thestory/) - [ ] [How Search Works](https://www.google.com/insidesearch/howsearchworks/) @@ -245,7 +245,7 @@ Sometimes the classes are not in session so you have to wait a couple of months, I like using university lectures. -## Interview Process & General Interview Prep +## תהליך הראיון והכנה כללית לראיון - [ ] סרטונים: - [ ] [איך לעבוד בגוגל: Prepare for an Engineering Interview (video)](https://www.youtube.com/watch?v=ko-KkSmp-Lk) @@ -1355,15 +1355,15 @@ Supplemental: See [Book List above](#book-list) -## Coding exercises/challenges +## תרגילי/אתגרי קידוד -Once you've learned your brains out, put those brains to work. -Take coding challenges every day, as many as you can. +ברגע שלמדתם מעל ומעבר, תתחילו להשתמש במה שלמדתם. +תעשו אתגרי קידוד כל יום, כמה שאתם יכולים. - [ ] [How to Find a Solution](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-find-a-solution/) - [ ] [How to Dissect a Topcoder Problem Statement](https://www.topcoder.com/community/data-science/data-science-tutorials/how-to-dissect-a-topcoder-problem-statement/) -Challenge sites: +אתרים עם אתגרים: - [LeetCode](https://leetcode.com/) - [TopCoder](https://www.topcoder.com/) - [Project Euler (math-focused)](https://projecteuler.net/index.php?section=problems) @@ -1374,7 +1374,8 @@ Challenge sites: - [Geeks for Geeks](http://www.geeksforgeeks.org/) - [InterviewBit](https://www.interviewbit.com/invite/icjf) -Maybe: +ראיונות דמה: +- [Pramp - להתאמן בראיונות קידוד עם אחרים, בחינם](https://www.pramp.com/) - [Mock interviewers from big companies](http://www.gainlo.co/) ## Once you're closer to the interview From 7ce206418eb25ffe75b0af67e02b536d0c4c17a5 Mon Sep 17 00:00:00 2001 From: John Washam Date: Thu, 14 Sep 2017 21:03:00 -0700 Subject: [PATCH 227/236] Adding Malayalam translation "in progress" link. --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index e5e1415ee6..c400818ba3 100644 --- a/README.md +++ b/README.md @@ -33,6 +33,7 @@ Translations in progress: - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) +- [Malayalam](https://github.com/jwasham/coding-interview-university/issues/239) ## What is it? From 96c645ed450339d3e6403185ac44104f3471199f Mon Sep 17 00:00:00 2001 From: Sourabh Date: Tue, 19 Sep 2017 10:20:36 +0530 Subject: [PATCH 228/236] Moved translation to translations directory --- README.md | 2 +- README-hi.md => translations/README-hi.md | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename README-hi.md => translations/README-hi.md (100%) diff --git a/README.md b/README.md index 00378fa858..86cbbcd687 100644 --- a/README.md +++ b/README.md @@ -14,9 +14,9 @@ Translations: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - [Español](translations/README-es.md) +- [हिन्दी](translations/README-hi.md) Translations in progress: -- [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) - [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) diff --git a/README-hi.md b/translations/README-hi.md similarity index 100% rename from README-hi.md rename to translations/README-hi.md From 2b13e0afc4bae71d0a508a78fcbe189560cbce70 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 24 Sep 2017 10:18:51 -0700 Subject: [PATCH 229/236] Removed references to Half.com. --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index ce5240805f..6d66275066 100644 --- a/README.md +++ b/README.md @@ -14,9 +14,9 @@ Translations: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - [Español](translations/README-es.md) -- [हिन्दी](translations/README-hi.md) Translations in progress: +- [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) - [עברית](https://github.com/jwasham/coding-interview-university/issues/82) - [Bahasa Indonesia](https://github.com/jwasham/coding-interview-university/issues/101) - [Arabic](https://github.com/jwasham/coding-interview-university/issues/98) @@ -370,7 +370,6 @@ OR: - this is the real reason you buy this book. - about to get to this part. Will update here once I've made my way through it. - Can rent it on kindle - - Half.com is a great resource for textbooks at good prices. - Answers: - [Solutions](http://www.algorithm.cs.sunysb.edu/algowiki/index.php/The_Algorithms_Design_Manual_(Second_Edition)) - [Solutions](http://blog.panictank.net/category/algorithmndesignmanualsolutions/page/2/) @@ -378,7 +377,6 @@ OR: - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) - **Important:** Reading this book will only have limited value. This book is a great review of algorithms and data structures, but won't teach you how to write good code. You have to be able to code a decent solution efficiently. - - Half.com is a great resource for textbooks at good prices. - aka CLR, sometimes CLRS, because Stein was late to the game - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) @@ -1487,7 +1485,7 @@ You're never really done. ## Additional Books -- [ ] [The Unix Programming Environment](http://product.half.ebay.com/The-UNIX-Programming-Environment-by-Brian-W-Kernighan-and-Rob-Pike-1983-Other/54385&tg=info) +- [ ] [The Unix Programming Environment](https://www.amazon.com/dp/013937681X) - an oldie but a goodie - [ ] [The Linux Command Line: A Complete Introduction](https://www.amazon.com/dp/1593273894/) - a modern option From 53b4a4aafa8d0f0d18df8bc72e332ae08092065a Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 24 Sep 2017 10:27:30 -0700 Subject: [PATCH 230/236] Changed wording. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6d66275066..f20d9894ae 100644 --- a/README.md +++ b/README.md @@ -48,7 +48,7 @@ many years of experience and are claiming many years of software engineering exp If you have many years of software/web development experience, note that large software companies like Google, Amazon, Facebook and Microsoft view software engineering as different from software/web development, and they require computer science knowledge. -If you want to be a reliability engineer or systems engineer, study more from the optional list (networking, security). +If you want to be a reliability engineer or operations engineer, study more from the optional list (networking, security). --- @@ -1163,7 +1163,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th - The first half is enough. - ### Networking - - **if you have networking experience or want to be a systems engineer, expect questions** + - **if you have networking experience or want to be a reliability engineer or operations engineer, expect questions** - otherwise, this is just good to know - [ ] [Khan Academy](https://www.khanacademy.org/computing/computer-science/internet-intro) - [ ] [UDP and TCP: Comparison of Transport Protocols](https://www.youtube.com/watch?v=Vdc8TCESIg8) From cfe6ff9aae5dfa11343de20d4253dceb8a491934 Mon Sep 17 00:00:00 2001 From: John Washam Date: Sun, 1 Oct 2017 12:32:14 -0700 Subject: [PATCH 231/236] Added link to Japanese translation in progress. --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f20d9894ae..af78ad0492 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ Translations in progress: - [Russian](https://github.com/jwasham/coding-interview-university/issues/87) - [Ukrainian](https://github.com/jwasham/coding-interview-university/issues/106) - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) -- [Korean(한국어)](https://github.com/jwasham/coding-interview-university/issues/118) +- [Korean (한국어)](https://github.com/jwasham/coding-interview-university/issues/118) - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) - [German](https://github.com/jwasham/coding-interview-university/issues/135) @@ -34,6 +34,7 @@ Translations in progress: - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) - [Italian](https://github.com/jwasham/coding-interview-university/issues/170) - [Malayalam](https://github.com/jwasham/coding-interview-university/issues/239) +- [Japanese (日本語)](https://github.com/jwasham/coding-interview-university/issues/257) ## What is it? From c491f850f2b74943642e54a2c3a66ccea7e00240 Mon Sep 17 00:00:00 2001 From: Diego Date: Wed, 4 Oct 2017 10:26:15 +1300 Subject: [PATCH 232/236] Add an awesome article by Aaron Swartz --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index af78ad0492..c7642b8048 100644 --- a/README.md +++ b/README.md @@ -215,6 +215,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr - Successful software engineers are smart, but many have an insecurity that they aren't smart enough. - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) +- [Believe you can change](http://www.aaronsw.com/weblog/dweck) ## About Video Resources From f1ce69f8f126d3720d591f2b06162f06dfadd948 Mon Sep 17 00:00:00 2001 From: Marlon Aviz Date: Fri, 13 Oct 2017 01:21:38 -0300 Subject: [PATCH 233/236] fixed internal linking --- translations/README-ptbr.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7ed98399a2..3770dcf111 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -20,7 +20,7 @@ Traduções: - [中文版本](translations/README-cn.md) - [Tiếng Việt - Vietnamese](translations/README-vi.md) - [Español](translations/README-es.md) -- [Português Brasileiro](translations/README-ptbr.md) +- [Português Brasileiro](README-ptbr.md) Traduções em progresso: - [हिन्दी](https://github.com/jwasham/coding-interview-university/issues/81) From e04027f538493aecd8541f862507c63c87bf9dcd Mon Sep 17 00:00:00 2001 From: "Diego W. Antunes" Date: Fri, 13 Oct 2017 23:34:37 -0300 Subject: [PATCH 234/236] Small review of the portuguese translation (Brazilian). --- translations/README-ptbr.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/translations/README-ptbr.md b/translations/README-ptbr.md index 7ed98399a2..1297befe87 100644 --- a/translations/README-ptbr.md +++ b/translations/README-ptbr.md @@ -251,7 +251,7 @@ Você pode escolher uma linguagem com a qual você esteja confortável para faze - Java - Python -Você também poderia usar essas, mas dê uma lida por aí antes. Podem haver avisos: +Você também poderia usar essas, mas dê uma lida por aí antes. Podem haver ressalvas: - JavaScript - Ruby @@ -268,7 +268,7 @@ Você vai ver aprendizado de C, C++ e Python incluído abaixo, porque é o que e ## Lista de Livros -Essa é uma lista menor comparada à que eu usei. Está abreviado para economizar seu tempo. +Essa é uma lista menor comparada à que eu usei. Está abreviada para economizar seu tempo. ### Preparação para a Entrevista @@ -291,7 +291,7 @@ Se você tem muito tempo sobrando: Se estiver com pouco tempo: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) (Escreva um Excelente Código: Volume 1: Compreendendo a Máquina) - - O livro foi publicado em 2004, e está meio vencido, mas é um recurso maravilhoso para compreender um computador resumidamente. + - O livro foi publicado em 2004, e está meio desatualizado, mas é um recurso incrível para se compreender um computador resumidamente. - O autor inventou HLA (High-level Assembly ou, no português, Assembly de alto nível), então considere as menções e exemplos em HLA com cautela. Não é usado amplamente, mas contém exemplos decentes de como o assembly funciona. - Esses capítulos valem a pena serem lidos para lhe dar uma boa base: - Chapter 2 - Numeric Representation (Capítulo 2 - Representação Numérica) @@ -320,7 +320,7 @@ Se você ler um desses, você deverá ter todo conhecimento de estrutura de dado ### C++ -Eu ainda não li esses dois, mas eles são muito bem avaliados e escritos por Sedgewick. Ele é ótimo. +Eu não li esses dois, mas eles são muito bem avaliados e escritos por Sedgewick. Ele é incrível. - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) (Algoritmos em C++, Partes 1-4: Fundamentos, Estrutura de Dados, Ordenação, Busca). - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) (Algoritmos em C++ Parte 5: Algoritmos de Grafo) @@ -347,7 +347,7 @@ OU: - por Goodrich, Tamassia, Goldwasser - Eu adorei esse livro. Ele cobriu tudo e muito mais. - Código pythonico. - - meu brilhante resumo: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ + - meu resumo brilhante do livro: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ ### Livros Opcionais @@ -356,7 +356,7 @@ OU: - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) (Manual de Design de Algoritmo) - Como uma revisão e reconhecimento de problema - - A parte de catálogos de algoritmos está muito além da margem de dificuldade que você terá numa entrevista. + - A parte de catálogos de algoritmos está muito além da margem de dificuldade que você terá em uma entrevista. - Esse livro tem 2 partes: - livro de aula sobre estrutura de dados e algoritmos - prós: @@ -378,17 +378,17 @@ OU: - [Errata](http://www3.cs.stonybrook.edu/~skiena/algorist/book/errata) - [ ] [Introduction to Algorithms](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) (Introdução à Algoritmos) - - **Importante:** Ler esse livro só terá um valor limitado. Esse livro é ótimo para revisão de algoritmos e estrutura de dados, mas não irá te ensinar a escrever um bom código. Você deve ser capaz de programar uma solução decente eficientemente. + - **Importante:** Ler esse livro só terá um valor limitado. Esse livro é ótimo para revisão de algoritmos e estrutura de dados, mas não irá te ensinar a escrever um bom código. Você deve ser capaz de codificar uma solução decente eficientemente. - Half.com é um ótimo recurso para livros com bons preços. - também conhecido como CLR, às vezes CLRS, porque Stein estava atrasado para o negócio - [ ] [Programming Pearls](http://www.amazon.com/Programming-Pearls-2nd-Jon-Bentley/dp/0201657880) (Pérolas de Programação) - - Os primeiros capítulos apresentam solução inteligentes para problemas de programação (alguns bem velhos usando suporte magnético) mas - isso é só uma introdução. Esse é um guia sobre design e arquitetura de programa, parecido com Code Complete, mas muito mais curto. + - Os primeiros capítulos apresentam soluções inteligentes para problemas de programação (alguns bem velhos usando suporte magnético) + mas isso é só uma introdução. Esse é um guia sobre design e arquitetura de programa, parecido com Code Complete, mas muito mais curto. - ~~"Algorithms and Programming: Problems and Solutions" by Shen ("Algoritmos e Programação: Problemas e Soluções" por Shen)~~ - Um bom livro, mas depois de trabalhar nos problemas em várias páginas eu fiquei frustrado com o Pascal, loops do...while, arrays de 1 índice (index), e resultados de satisfação pós-condição pouco claros. - - Prefiro gastar tempo em problemas de programação de outro livro oi problemas de programação online. + - Prefiro gastar tempo em problemas de programação de outro livro ou problemas de programação online. ## Antes de começar @@ -397,9 +397,9 @@ Essa lista cresceu por longos meses, e sim, ela meio que saiu do controle. Aqui estão alguns erros que eu cometi para que você tenha uma experiência melhor. -### 1. Você não se lembrará disso tudo +### 1. Você não se lembrará de tudo -Assisti a horas de vídeos e fiz anotações e meses depois havia muito que eu não me lembrava. Eu passei 3 dias revisando minhas anotaçes e fazendo flashcards para que eu pudesse relembrar. +Assisti a horas de vídeos e fiz anotações e meses depois havia muito que eu não lembrava. Eu passei 3 dias revisando minhas anotaçes e fazendo flashcards para que eu pudesse relembrar. Por favor, leia para que você não cometa os meus erros: @@ -418,7 +418,7 @@ Faça o seu próprio, grátis: - [Minha base de dados de flashcards (antigo - 1200 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): - [Minha base de dados de flashcards (novo - 1800 cartões)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Tenha em mente que eu exagerei e tenho cartas abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é requerido.  +Tenha em mente que eu exagerei e tenho cartões abrangendo desde linguagem assembly e trivialidades de Python até aprendizado de máquina e estatísticas. É demais para o que é requerido.  **Nota:** A primeira vez que você reconhece que sabe a resposta, não a marque como conhecida. Você tem que ver o mesmo cartão e respondê-lo várias vezes corretamente antes de realmente conhecê-lo. A repetição colocará esse conhecimento mais aprodundado em seu cérebro. @@ -427,7 +427,7 @@ Uma alternativa ao uso do meu site de flashcards é [Anki](http://ankisrs.net/), Meu banco de dados de flashcards em formato Anki: https://ankiweb.net/shared/info/25173560 (obrigado [@xiewenya](https://github.com/xiewenya)) -### 3. Reveja, Reveja e Reveja +### 3. Revise, Revise e Revise Eu mantenho um conjunto de anotações em ASCII, OSI stack, Notações Big-O, e muito mais. Eu os estudo quando tenho algum tempo livre. From 7461c0ab64c12c81e8e03d9c7413edcd7466f5cb Mon Sep 17 00:00:00 2001 From: miku86 Date: Tue, 24 Oct 2017 09:58:20 +0200 Subject: [PATCH 235/236] delete link to deleted German translation --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 5fbdd37380..3e6799cde9 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,6 @@ Translations in progress: - [Brazilian Portuguese](https://github.com/jwasham/coding-interview-university/issues/113) - [Telugu](https://github.com/jwasham/coding-interview-university/issues/117) - [Polish](https://github.com/jwasham/coding-interview-university/issues/122) -- [German](https://github.com/jwasham/coding-interview-university/issues/135) - [Urdu](https://github.com/jwasham/coding-interview-university/issues/140) - [Thai](https://github.com/jwasham/coding-interview-university/issues/156) - [Greek](https://github.com/jwasham/coding-interview-university/issues/166) From 55197de6365faf88466d757b336e1408ce81f5c2 Mon Sep 17 00:00:00 2001 From: Phondanai Khanti Date: Fri, 27 Oct 2017 14:40:33 +0700 Subject: [PATCH 236/236] Add more Thai translations --- translations/README-th.md | 169 +++++++++++++++++++------------------- 1 file changed, 84 insertions(+), 85 deletions(-) diff --git a/translations/README-th.md b/translations/README-th.md index cc07294df5..25874d58f7 100644 --- a/translations/README-th.md +++ b/translations/README-th.md @@ -153,27 +153,26 @@ --- -## Why use it? +## ทำไมต้องใช้? -When I started this project, I didn't know a stack from a heap, didn't know Big-O anything, anything about trees, or how to -traverse a graph. If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. -Every data structure I've ever used was built into the language, and I didn't know how they worked -under the hood at all. I've never had to manage memory unless a process I was running would give an "out of -memory" error, and then I'd have to find a workaround. I've used a few multidimensional arrays in my life and -thousands of associative arrays, but I've never created data structures from scratch. +ตอนเริ่มโครงการนี้, ผมไม่รู้จัก stack จาก heap เสียด้วยซ้ำ, หรือแม้กระทั้ง Big-O, โครงสร้างต้นไม้ +หรือวิธีการเข้าถึงข้อมูลในโครงสร้างกราฟ ถ้าผมต้องได้เขียนโค้ดสำหรับจัดเรียงข้อมูล ผมบอกได้เลยว่ามันต้องออกมาไม่ดีแน่ๆ +ทุกๆ โครงสร้างข้อมูลที่เคยใช้ก็ใช้สิ่งที่มีมากับตัวภาษาโปรแกรมที่ใช้ และผมไม่รู้ด้วยซ้ำว่ามันทำงานยังไงในระดับลึกๆ +ผมไม่เคยจำเป็นต้องสนใจการเขียนเพื่อให้ใช้หน่วยความจำให้มีประสิทธิภาพ จนกระทั่งระบบเตือนมาโน่นแหละว่า "หน่วยความจำหมด" +จึงจะหาวิธีแก้ขัด ผมใช้โครงสร้างแถวลำดับ (Arrays) หลายมิติน้อยครั้งมากๆ เมื่อเทียบกับโครงสร้างแถวลำดับ (Arrays) แบบปกติ แต่ผมก็ไม่เคยสร้างโครงสร้างข้อมูลขึ้นมาใช้เองเลยสักครั้ง -It's a long plan. It may take you months. If you are familiar with a lot of this already it will take you a lot less time. +นี่คือแผนอันยาวไกล คุณอาจต้องใช้เวลาหลายเดือน ถ้าคุณมีความคุ้นเคยมาก่อนหน้านี้ ก็จะทำให้คุณใช้เวลาน้อยลง -## How to use it +## ใช้อย่างไร -Everything below is an outline, and you should tackle the items in order from top to bottom. +ทุกสิ่งที่อยู่ด้านล่างนี้เป็นเพียงเค้าโครงเท่านั้น และคุณต้องศึกษาสิ่งเหล่านี้จากบนลงล่างตามลำดับ -I'm using Github's special markdown flavor, including tasks lists to check progress. +ผมใช้ เครื่องมือของ Github markdown สำหรับทำ check list เพื่อไว้ดูความก้าวหน้าในแต่ละหัวข้อ -**Create a new branch so you can check items like this, just put an x in the brackets: [x]** +**สร้าง branch ใหม่ และคุณจะสามารถติ๊กแต่ละรายการโดยใช้วิธี, เพิ่มอักขระ x ข้างในวงเล็บก้ามปูแบบนี้: [x]** - Fork a branch and follow the commands below + Fork branch และใช้คำสั่งดังนี้ `git checkout -b progress` @@ -181,7 +180,7 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git fetch --all` - Mark all boxes with X after you completed your changes + เลือกทุกกล่องโดยใช้ X หลังจากที่คุณศึกษาเสร็จแล้ว `git add . ` @@ -191,23 +190,23 @@ I'm using Github's special markdown flavor, including tasks lists to check progr `git push --force ` -[More about Github-flavored markdown](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) +[เพิ่มเติมเกี่ยวกับเครื่องมือ markdown ของ Github](https://guides.github.com/features/mastering-markdown/#GitHub-flavored-markdown) -## Don't feel you aren't smart enough -- Successful software engineers are smart, but many have an insecurity that they aren't smart enough. +## ห้ามรู้สึกว่าคุณไม่ฉลาดพอ +- วิศวกรซอฟต์แวร์ที่ประสบความสำเร็จนั้นเป็นบุคคลที่ฉลาด แต่หลายคนก็จิตตก คิดว่าตัวเองยังฉลาดไม่พอ - [The myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ) - [It's Dangerous to Go Alone: Battling the Invisible Monsters in Tech](https://www.youtube.com/watch?v=1i8ylq4j_EY) -## About Video Resources +## เกี่ยวกับแหล่งที่มาของวีดีโอ -Some videos are available only by enrolling in a Coursera, EdX, or Lynda.com class. These are called MOOCs. -Sometimes the classes are not in session so you have to wait a couple of months, so you have no access. Lynda.com courses are not free. +บางวิดีโอนั้น สามารถเข้าถึงได้เฉพาะการลงทะเบียนเรียนใน Coursera, EdX หรือ Lynda.com ซึ่งเรียกว่า MOOCs +บางครั้งคอร์สที่คุณต้องการเข้าไปดูวิดีโอนั้นยังไม่เปิด คุณจำเป็นต้องรอประมาณสองสามเดือน ส่วน Lynda.com นั้นต้องเสียเงิน - I'd appreciate your help to add free and always-available public sources, such as YouTube videos to accompany the online course videos. - I like using university lectures. + ผมยินดีหากคุณช่วยเพิ่มแหล่งความรู้ที่ฟรีและสามารถเข้าถึงได้แบบสาธารณะ เช่น วิดีโอใน YouTube ที่เป็นวิดีโอที่ใช้ในคอร์สเรียนนั้นๆ + ซึ่งผมชอบใช้บทเรียนที่มาจากมหาวิทยาลัยต่างๆ -## Interview Process & General Interview Prep +## กระบวนการการสัมภาษณ์และการเตรียมตัว - [ ] [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) - [ ] [Whiteboarding](https://medium.com/@dpup/whiteboarding-4df873dbba2e#.hf6jn45g1) @@ -222,9 +221,9 @@ Sometimes the classes are not in session so you have to wait a couple of months, - [ ] [Software Engineer Interview Unleashed (paid course)](https://www.udemy.com/software-engineer-interview-unleashed): - Learn how to make yourself ready for software engineer interviews from a former Google interviewer. -## Pick One Language for the Interview +## เลือกภาษาสำหรับการสัมภาษณ์ -You can use a language you are comfortable in to do the coding part of the interview, but for large companies, these are solid choices: +คุณสามารถเลือกภาษาที่คุณถนัดในการสัมภาษณ์ในส่วนของการเขียนโปรแกรม แต่สำหรับบริษัทใหญ่ๆ ภาษาเหล่านี้คือตัวเลือกที่ควรใช้: - C++ - Java @@ -237,7 +236,7 @@ You could also use these, but read around first. There may be caveats: You need to be very comfortable in the language and be knowledgeable. -Read more about choices: +อ่านเพิ่มเติม สำหรับภาษาที่ใช้เลือกสอบ: - http://www.byte-by-byte.com/choose-the-right-language-for-your-coding-interview/ - http://blog.codingforinterviews.com/best-programming-language-jobs/ @@ -245,11 +244,11 @@ Read more about choices: You'll see some C, C++, and Python learning included below, because I'm learning. There are a few books involved, see the bottom. -## Book List +## รายชื่อหนังสือ -This is a shorter list than what I used. This is abbreviated to save you time. +นี่คือรายชื่อหนังสือที่น้อยกว่าที่ผมใช้ ซึ่งสิ่งเหล่านี้จะช่วยชีวิตของคุณ -### Interview Prep +### เตรียมตัวสัมภาษณ์ - [ ] [Programming Interviews Exposed: Secrets to Landing Your Next Job, 2nd Edition](http://www.wiley.com/WileyCDA/WileyTitle/productCd-047012167X.html) - answers in C++ and Java @@ -258,14 +257,14 @@ This is a shorter list than what I used. This is abbreviated to save you time. - [ ] [Cracking the Coding Interview, 6th Edition](http://www.amazon.com/Cracking-Coding-Interview-6th-Programming/dp/0984782850/) - answers in Java -If you have tons of extra time: +หากคุณมีเวลาพอ: - [ ] [Elements of Programming Interviews (C++ version)](https://www.amazon.com/Elements-Programming-Interviews-Insiders-Guide/dp/1479274836) - [ ] [Elements of Programming Interviews (Java version)](https://www.amazon.com/Elements-Programming-Interviews-Java-Insiders/dp/1517435803/) -### Computer Architecture +### สถาปัตยกรรม คอมพิวเตอร์ -If short on time: +หากคุณมีเวลาน้อย: - [ ] [Write Great Code: Volume 1: Understanding the Machine](https://www.amazon.com/Write-Great-Code-Understanding-Machine/dp/1593270038) - The book was published in 2004, and is somewhat outdated, but it's a terrific resource for understanding a computer in brief. @@ -281,55 +280,55 @@ If short on time: - Chapter 10 - Instruction Set Architecture - Chapter 11 - Memory Architecture and Organization -If you have more time (I want this book): +หากคุณมีเวลาพอ (ผมอยากได้เล่มนี้): - [ ] [Computer Architecture, Fifth Edition: A Quantitative Approach](https://www.amazon.com/dp/012383872X/) - For a richer, more up-to-date (2011), but longer treatment -### Language Specific +### สำหรับแต่ละภาษา -**You need to choose a language for the interview (see above).** Here are my recommendations by language. I don't have resources for all languages. I welcome additions. +**คุณต้องเลือกภาษาที่จะใช้สัมภาษณ์ (ดูด้านบน).** นี่หนังสือที่ผมแนะนำแยกตามแต่ละภาษา ผมมีไม่ครบทุกภาษา และผมยินดีที่จะเพิ่มในภายหลัง -If you read though one of these, you should have all the data structures and algorithms knowledge you'll need to start doing coding problems. -**You can skip all the video lectures in this project**, unless you'd like a review. +ถ้าคุณอ่านเล่มใดเล่มนึงจนจบ คุณควรจะมีความรู้ความเข้าใจในโครงสร้างข้อมูลและอัลกอริธึม เพื่อเริ่มทำโจทย์แก้ปัญหาได้ +**คุณไม่ต้องดูวิดีสอนใดๆ ในนี้ก็ได้**, นอกเสียจากคุณต้องการจะทบทวน -[Additional language-specific resources here.](programming-language-resources.md) +[แหล่งทรัพยกรอื่นๆ ที่เกี่ยวข้อง](programming-language-resources.md) ### C++ -I haven't read these two, but they are highly rated and written by Sedgewick. He's awesome. +ผมยังไม่เคยอ่านสองเล่มนี้ แต่สองเล่มนี้แนะนำอย่างแรงและมีการรีวิวโดย Sedgewick พ่อหนุ่มคนนี้เค้าเจ๋งนะ - [ ] [Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching](https://www.amazon.com/Algorithms-Parts-1-4-Fundamentals-Structure/dp/0201350882/) - [ ] [Algorithms in C++ Part 5: Graph Algorithms](https://www.amazon.com/Algorithms-Part-Graph-3rd-Pt-5/dp/0201361183/) -If you have a better recommendation for C++, please let me know. Looking for a comprehensive resource. +ถ้าคุณมีเล่มอื่นที่ดีกว่าอยากแนะนำสำหรับ C++ บอกให้ผมทราบได้เลย ตอนนี้กำลังหาแหล่งที่มีเนื้อหาครอบคลุมทุกด้านอยู่ ### Java - [ ] [Algorithms (Sedgewick and Wayne)](https://www.amazon.com/Algorithms-4th-Robert-Sedgewick/dp/032157351X/) - - videos with book content (and Sedgewick!): + - วิดีโอสำหรับหนังสือเหล่านี้ (and Sedgewick!): - [Algorithms I](https://www.youtube.com/user/algorithmscourses/playlists?view=50&sort=dd&shelf_id=2) - [Algorithms II](https://www.youtube.com/user/algorithmscourses/playlists?shelf_id=3&view=50&sort=dd) -OR: +หรือ: - [ ] [Data Structures and Algorithms in Java](https://www.amazon.com/Data-Structures-Algorithms-Michael-Goodrich/dp/1118771338/) - - by Goodrich, Tamassia, Goldwasser - - used as optional text for CS intro course at UC Berkeley + - โดย Goodrich, Tamassia, Goldwasser + - ใช้เป็นหนังสือเสริมในหลักสูตร CS intro ที่ UC Berkeley - see my book report on the Python version below. This book covers the same topics. ### Python - [ ] [Data Structures and Algorithms in Python](https://www.amazon.com/Structures-Algorithms-Python-Michael-Goodrich/dp/1118290275/) - - by Goodrich, Tamassia, Goldwasser - - I loved this book. It covered everything and more. + - โดย Goodrich, Tamassia, Goldwasser + - ผมรักเล่มนี้เลย เล่มนี้ครอบคลุมทุกสิ่งและอีกมากมาย - Pythonic code - my glowing book report: https://startupnextdoor.com/book-report-data-structures-and-algorithms-in-python/ -### Optional Books +### หนังสืออื่นๆ -**Some people recommend these, but I think it's going overboard, unless you have many years of software engineering experience and expect a much harder interview:** +**หลายคนแนะนำหนังสือเหล่านี้ แต่ผมคิดว่ามันนอกเหนือขอบเขตไปหน่อย หรืออย่างน้อยคุณต้องมีประสบการณ์ในวิศวกรรมซอฟต์แวร์หลายปีและคาดหวังการสัมภาษณ์ที่ยากๆ:** - [ ] [Algorithm Design Manual](http://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202) (Skiena) - As a review and problem recognition @@ -368,35 +367,35 @@ OR: - Would rather spend time on coding problems from another book or online coding problems. -## Before you Get Started +## ก่อนที่จะเริ่มต้น This list grew over many months, and yes, it kind of got out of hand. Here are some mistakes I made so you'll have a better experience. -### 1. You Won't Remember it All +### 1. คุณไม่สามารถจำได้ทุกสิ่งอย่าง -I watched hours of videos and took copious notes, and months later there was much I didn't remember. I spent 3 days going -through my notes and making flashcards so I could review. +ผมดูวิดีโอหลายชั่วโมงและจดโน้ตไว้ หลายเดือนต่อมาพบว่า ผมจำสิ่งต่างๆ ได้น้อยมา ผมใช้เวลา 3 เดือน +อ่านโน๊ตและทำ flashcard ซึ่งนั่นทำให้ผมได้ทบทวนเนื้อหา -Read please so you won't make my mistakes: +โปรดอ่านตรงนี้ก่อนและคุณจะได้ไม่ต้องทำผิดแบบผม: [Retaining Computer Science Knowledge](https://startupnextdoor.com/retaining-computer-science-knowledge/) -### 2. Use Flashcards +### 2. ใช้ Flashcards -To solve the problem, I made a little flashcards site where I could add flashcards of 2 types: general and code. -Each card has different formatting. +ในการแก้ปัญหานี้ ผมได้สร้างเว็บ flashcard เล็กๆ โดยมี 2 ชนิดคือ: ทั่วไป และ โค้ด +แต่ละการ์ดจะมีรูปแบบต่างกัน -I made a mobile-first website so I could review on my phone and tablet, wherever I am. +ผมทำเว็บที่รองรับอุกรณ์มือถือ ซึ่งผมจะได้สามารถทบทวนในโทรศัพท์หรือแทบเล็ต ที่ใดก็ได้ -Make your own for free: +คุณสามารถทำได้แบบฟรีๆ: - [Flashcards site repo](https://github.com/jwasham/computer-science-flash-cards) -- [My flash cards database (old - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): -- [My flash cards database (new - 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): +- [คลัง flash card ของผม (เก่า - 1200 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham.db): +- [คลัง flash cards ของผม (ใหม่- 1800 cards)](https://github.com/jwasham/computer-science-flash-cards/blob/master/cards-jwasham-extreme.db): -Keep in mind I went overboard and have cards covering everything from assembly language and Python trivia to machine learning and statistics. It's way too much for what's required. +คลังการ์ดของผมนั้น เนื้อหาจะครอบคลุมเกินเนื้อหาหลัก ตั้งแต่ภาษา assembly และ Python จนไปถึง machine learning และ สถิติ ซึ่งมันก็เกินกว่าที่เราต้องการ **Note on flashcards:** The first time you recognize you know the answer, don't mark it as known. You have to see the same card and answer it several times correctly before you really know it. Repetition will put that knowledge deeper in @@ -407,68 +406,68 @@ It's user-friendly, available on all platforms and has a cloud sync system. It c My flashcard database in Anki format: https://ankiweb.net/shared/info/25173560 (thanks [@xiewenya](https://github.com/xiewenya)) -### 3. Review, review, review +### 3. ทบทวน, ทบทวน, ทบทวน I keep a set of cheat sheets on ASCII, OSI stack, Big-O notations, and more. I study them when I have some spare time. Take a break from programming problems for a half hour and go through your flashcards. -### 4. Focus +### 4. เพ่งสมาธิ There are a lot of distractions that can take up valuable time. Focus and concentration are hard. -## What you won't see covered +## อะไรที่ไม่ครอบคลุม -These are prevalent technologies but not part of this study plan: +เทคโนโลยีเหล่านี้ถูกใช้แพร่หลาย แต่จะไม่อยู่ในแผนการเรียนนี้ ได้แก่: - SQL - Javascript -- HTML, CSS, and other front-end technologies +- HTML, CSS, และ เทคโนโลยี front-end อื่นๆ -## The Daily Plan +## แผนของแต่ละวัน -Some subjects take one day, and some will take multiple days. Some are just learning with nothing to implement. +บางหัวข้อใช้เวลาวันเดียว บ้างใช้หลายวัน และบางอันนั้นเป็นการเรียนแบบไม่ได้เขียนจริง -Each day I take one subject from the list below, watch videos about that subject, and write an implementation in: +แต่ละวัน ผมศึกษาหนึ่งหัวข้อจากรายการด้านล่าง ดูวิดีโอเกี่ยวกับห้อข้อนั้นๆ และเขียนโปรแกรมที่เกี่ยวข้องลงไป: - C - using structs and functions that take a struct * and something else as args. - C++ - without using built-in types - C++ - using built-in types, like STL's std::list for a linked list - Python - using built-in types (to keep practicing Python) - and write tests to ensure I'm doing it right, sometimes just using simple assert() statements -- You may do Java or something else, this is just my thing. +- คุณอาจใช้ Java หรือ ภาษาอื่นๆ ได้เช่นกัน ผมใช้เฉพาะข้างต้นนี้ -You don't need all these. You need only [one language for the interview](#pick-one-language-for-the-interview). +คุณไม่จำเป็นต้องฝึกทั้งหมดนี้ คุณต้องการเฉพาะ [ภาษาเดียวที่จะใช้สอบสัมภาษณ์](#pick-one-language-for-the-interview). -Why code in all of these? -- Practice, practice, practice, until I'm sick of it, and can do it with no problem (some have many edge cases and bookkeeping details to remember) +ทำไมต้องโค้ดทั้งหมดนี้? +- ฝึกฝน, ฝึกฝน, ฝึกฝน, จนผมเอียนกับมัน และสามารถทำมันได้โดยไม่ติดปัญหาอะไร (บางอันมีรายละเอียดปลีกย่อยที่ต้องจำ) - Work within the raw constraints (allocating/freeing memory without help of garbage collection (except Python)) - Make use of built-in types so I have experience using the built-in tools for real-world use (not going to write my own linked list implementation in production) -I may not have time to do all of these for every subject, but I'll try. +ผมอาจจะมีเวลาไม่พอที่จะทำทั้งหมดทุกหัวข้อ แต่ผมก็ลองทำ -You can see my code here: +คุณสามารถดูโค้ดของผมได้: - [C] (https://github.com/jwasham/practice-c) - [C++] (https://github.com/jwasham/practice-cpp) - [Python] (https://github.com/jwasham/practice-python) You don't need to memorize the guts of every algorithm. -Write code on a whiteboard or paper, not a computer. Test with some sample inputs. Then test it out on a computer. +เขียนโค้ดลงกระดานหรือกระดาษ ไม่ใช่ในเครื่องคอมพิวเตอร์ ทดสอบโดยใช้ข้อมูลตัวอย่าง จากนั้นลองรันจริงๆ ในเครื่องคอมพิวเตอร์ -## Prerequisite Knowledge +## ความรู้พื้นฐานที่จำเป็น -- [ ] **Learn C** - - C is everywhere. You'll see examples in books, lectures, videos, *everywhere* while you're studying. +- [ ] **เรียนรู้ภาษา C** + - ภาษา C มีอยู่ทุกหนแห่ง คุณจะเห็นตัวอย่างต่างๆ ในหนังสือ บทเรียน วิดีโอ *ทุกหนแห่ง* ในขณะที่คุณศึกษาอยู่ - [ ] [C Programming Language, Vol 2](https://www.amazon.com/Programming-Language-Brian-W-Kernighan/dp/0131103628) - This is a short book, but it will give you a great handle on the C language and if you practice it a little you'll quickly get proficient. Understanding C helps you understand how programs and memory work. - [answers to questions](https://github.com/lekkas/c-algorithms) -- [ ] **How computers process a program:** +- [ ] **คอมพิวเตอร์จัดการกับโปรแกรมอย่างไร:** - [ ] [How does CPU execute program (video)](https://www.youtube.com/watch?v=42KTvGYQYnA) - [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE) -## Algorithmic complexity / Big-O / Asymptotic analysis +## ความซับซ้อนของขั้นตอนวิธี / Big-O / การวิเคราะห์ Asymptotic - nothing to implement - [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4) - [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU) @@ -492,9 +491,9 @@ Write code on a whiteboard or paper, not a computer. Test with some sample input If some of the lectures are too mathy, you can jump down to the bottom and watch the discrete mathematics videos to get the background knowledge. -## Data Structures +## โครงสร้างข้อมูล -- ### Arrays +- ### แถวลำดับ (Arrays) - Implement an automatically resizing vector. - [ ] Description: - [Arrays (video)](https://www.coursera.org/learn/data-structures/lecture/OsBSF/arrays) @@ -1770,7 +1769,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo - ### Discrete math - see videos below -- ### Machine Learning +- ### การเรียนรู้ของเครื่อง (Machine Learning) - [ ] Why ML? - [ ] [How Google Is Remaking Itself As A Machine Learning First Company](https://backchannel.com/how-google-is-remaking-itself-as-a-machine-learning-first-company-ada63defcb70) - [ ] [Large-Scale Deep Learning for Intelligent Computer Systems (video)](https://www.youtube.com/watch?v=QSaZGT4-6EY) @@ -1933,7 +1932,7 @@ Sit back and enjoy. "Netflix and skill" :P - [ ] [Graph Theory by Sarada Herke (67 videos)](https://www.youtube.com/user/DrSaradaHerke/playlists?shelf_id=5&view=50&sort=dd) -## Computer Science Courses +## หลักสูตร วิทยาการคอมพิวเตอร์ - [Directory of Online CS Courses](https://github.com/open-source-society/computer-science) - [Directory of CS Courses (many with online lectures)](https://github.com/prakhar1989/awesome-courses)

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