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TJS Mafia Discord Library

Contributions

The members contributed to this library of the TJS Mafia Discord server. If you would like to contribute to this list to beautify/sort this easily or add additional resources, feel free to submit a PR, or you can add resources to the TJS Mafia Discord server's library channel, which will be updated here periodically.

Disclaimer

This is a curated list of contributions by individual contributors, and all rights to original pieces belong to their respective owners. If you're a resource owner who wants any of these resources removed from this list, please feel free to reach out.

Table of contents:

Tools list:

  1. all-in online editor: https://www.kapwing.com/tools
  2. simplest motion design tool: https://jitter.video/
  3. slides/presentation deck + other edits: https://www.canva.com/
  4. desktop whiteboard: https://excalidraw.com/
  5. personal scheduling tool (free calendly alternative): https://zcal.co/
  6. powerful form builder (google forms, typeform alternative): https://tally.so/
  7. personal notebook: https://www.notion.so/
  8. convert our local database to spreadsheet: https://nocodb.com(alternative to airtable)

Resources/books list:

  1. Learn Bitcoin, Ethereum, smart contracts, and decentralized finance: https://teachyourselfcrypto.com/
  2. all about Economics: http://core-econ.org/the-economy/book/text/0-3-contents.html
  3. my notion reading list: https://thejasonsamuel.notion.site/b12af56728b747b4bfd8ac371eec3e40?v=95b36f2b005a4f9ca4685db4012e6a73
  4. A to Z computer science courses: https://github.com/Developer-Y/cs-video-courses#introduction-to-computer-science
  5. why web-3 matters: https://twitter.com/cdixon/status/1442201621266534402?s=20&t=vkx7jrgn21hhMhfb-1e26w
  6. Beginner's guide to crypto: https://creatoreconomy.so/p/curious-beginner-guide-to-crypto?utm_source=url
  7. open-source flutter library: https://www.getwidget.dev/
  8. New mono typeface: https://commitmono.com/
  9. full stack web dev course: https://www.theodinproject.com/paths/full-stack-javascript
  10. python tutorial: https://youtube.com/playlist?list=PLRRsXF6W98Sudlltrf8rrxbPnzkHcHgG3
  11. php tutorial: https://youtu.be/OK_JCtrrv-c
  12. laravel fundamentals: https://www.youtube.com/playlist?list=PLFHz2csJcgk_3VJwzVoeyMuC1rdBcfiLv
  13. laravel blade doc: https://laravel.com/docs/9.x/blade
  14. flutter tutorial: https://www.youtube.com/watch?v=IfUjHNODRoM&list=PL6yRaaP0WPkVtoeNIGqILtRAgd3h2CNpT&index=3
  15. seo tutorial: https://buildd.co/courses/startup-seo
  16. psychologists view on ux design: https://link.medium.com/bgWSiu2Zrpb
  17. basic guide on building online community: https://1drv.ms/b/s!AmKa3sbUtkOSk1tWgWRcbm8a29Cg?e=AhzOmX
  18. on why design matters (doing more with less): https://www.youtube.com/watch?v=0jEj5cTJzZ0&ab_channel=dMASSnet
  19. ikea effect: a ux case study: https://uxplanet.org/the-ikea-effect-a-ux-case-study-e30fb27df5cc
  20. learn for free: https://www.selfschool.me/
  21. learn system design: https://www.youtube.com/c/ByteByteGo
  22. computer science roadmap: https://roadmap.sh/
  23. search tool for software devs: https://codepilot.netlify.app/
  24. Self-improvement resources: https://drive.google.com/drive/folders/1nGvGpXTnpogzuLX5Uc6UFRrfidypK2PC?usp=sharing
  25. Notes for Programming Languages/Frameworks: https://goalkicker.com
  26. DSA roadmap: https://neetcode.io/roadmap
  27. Electronics and computer architecture: https://www.youtube.com/@BenEater
  28. Embedded development

For Copywriting:

  1. 50 pieces of copywriting advice: https://twitter.com/OneJKMolina/status/1533079377168240647?s=20&t=DqMRPm8xq6OoihvvvX_c7g
  2. 31 Copywriting & Marketing Terms you Need To Know: https://www.alexcattoni.com/wp-content/uploads/2021/10/Free-Guide-Copy-Posse-Glossary-31-Copywriting-Marketing-Terms-You-Need-To-Know.pdf
  3. Copywriting 101: How to craft a compelling story: https://davidlykhim.com/wp-content/uploads/2015/05/Copyblogger-Copywriting-101.pdf
  4. Practice copywriting every day: https://www.copywritingprompts.com/
  5. Fundamentals of copywriting: https://www.youtube.com/watch?v=mWNYE5yVOzk&feature=youtu.be&ab_channel=CopyThat!
  6. Bob Bly's B2B Marketing handbook: https://www.bly.com/content/B2BMktgHdbk.pdf
  7. How do you write an enticing homepage: https://www.julian.com/guide/startup/landing-pages
  8. Tips guaranteed to improve your copywriting: https://twitter.com/jmoserr/status/1384510874417651718
  9. 17 tips for copywriting: https://twitter.com/GoodMarketingHQ/status/1258052549246140416
  10. 10 landing page copywriting tips for more conversions: https://twitter.com/jmoserr/status/1395025640022237186
  11. 10+ copywriting mistakes: https://twitter.com/GrowthTactics/status/1416116689637240832
  12. 20+ practical copywriting exercises to think and write like a pro: https://twitter.com/coreyhainesco/status/1392225233101283328
  13. 10 copywriting formulas to increase conversions and clicks: https://twitter.com/jmoserr/status/1407346640206303242
  14. 12 Formulas to write engaging headlines: https://marketingexamined.com/blog/formulas-to-write-engaging-headlines
  15. Landing page teardown: https://www.demandcurve.com/teardowns
  16. 7 tips for building a startup's landing page: https://twitter.com/Adityamttl/status/1498689548855160832?t=COtZIfPqidG134YC-pSmPg&s=19

Email Marketing:

  1. Thread of actionable email insights: https://twitter.com/GrowthTactics/status/1341426684218753024
  2. Email marketing case studies and breakdowns: https://emailmastery.org/
  3. Collection of best cold email templates: https://betteroutreach.io/
  4. Ultimate email marketing resources: https://www.emailstash.io/
  5. Curated email templates for SAAS companies: https://saasemailtemplates.io/templates
  6. Design resources for a better email: https://www.reallygoodemails.com/

General Libraries:

  1. Z-library: https://z-lib.org/
  2. Anna's archive: https://annas-archive.org/
  3. Awesome opensource: https://awesomeopensource.com/
  4. Connected Papers, A unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work: https://www.connectedpapers.com/

Hardware, IOT, etc.:

  1. Hardware Security, Semi-invasive attacks, a new approach to hardware security analysis: https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-630.pdf

  2. How to reverse engineer integrated circuits: https://www.youtube.com/watch?v=aHx-XUA6f9g

    Blog: https://www.youtube.com/watch?v=aHx-XUA6f9g Samy Kankar applied-hacking channel: https://www.youtube.com/user/s4myk Telegram Channel: https://t.me/hardwareSecurity

Math:

  1. Middle school and high school math: https://artofproblemsolving.com/videos
  2. AOPS math book: https://artofproblemsolving.com/store/list/aops-curriculum (search annas archive for free books)
  3. Math Foundations by Norman Wildberger: https://youtube.com/playlist?list=PL5A714C94D40392AB&si=ijvCtn8YbeQfd7xx
  4. Mathematical playground: https://mathigon.org/
  5. Math is Fun (K-12): https://www.mathsisfun.com/
  6. Essence of calculus: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
  7. Learn statistics from visuals: https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9

Physics:

  1. Walter Lewin's lectures: https://www.youtube.com/playlist?list=PLERGeJGfknBR3pXCPlV3bgb_qHCSNOdBf

Programming, Dev, DSA, System Design, etc.:

  1. Database Management Systems - Ramakrishnan Gehrke 3rd-Edition: https://github.com/Premiumlab/Database-Management-System-Ramakrishnan-Gehrke-3rd-Edition

  2. Fundamentals of Cloud computing: https://github.com/learntocloud/learn-to-cloud

  3. Top YouTube channels for competitive/Algorithmic Programming:

  4. Java book: https://gfgc.kar.nic.in/sirmv-science/GenericDocHandler/138-a2973dc6-c024-4d81-be6d-5c3344f232ce.pdf

  5. Master programming by recreating your favorite technologies from scratch: https://github.com/codecrafters-io/build-your-own-x

  6. Beginner resources for data structures and algorithms: Data Structures and Algorithms in Python Book by Michael H. Goldwasser, Michael T. Goodrich, and Roberto Tamassia

  7. Primer on design patterns used in the Goodrich book:

  8. A lighter book on Algorithms: Grokking Algorithms by Aditya Y. Bhargava

  9. Coding Interview:

  10. UC Berkeley's cs61b is an introduction to data structures and algorithms course in Java: https://datastructur.es/

  11. Algorithmic Thinking by Tim Roughgarden: https://youtube.com/@timroughgardenlectures1861?si=ReCn-5S6Zefokpb3

  12. László Lovász's Discrete Mathematics book: https://cims.nyu.edu/~regev/teaching/discrete_math_fall_2005/dmbook.pdf

  13. Discrete Mathematics course: https://cs.wheaton.edu/~tvandrun/dmfp/

  14. Catalog of annotated code examples of all design patterns written in Python: https://youtube.com/playlist?list=PL8GFp_SBW-jdc7ZxO9SXkgZKKiNsD12M0&si=KRst6vtNLnxmuSgD

  15. Intro to web dev in PHP

  16. Intro to Web Dev in Python: https://runestone.academy/ns/books/published/webfundamentals/index.html

  17. Catalogue of Python resources: https://www.fullstackpython.com/

  18. Intro to Django web dev: https://wsvincent.com/books/

  19. Intro to web-dev in Javascript

  20. Intro to Web security: https://web.stanford.edu/class/cs253/

    Lectures: https://youtube.com/playlist?list=PL1y1iaEtjSYiiSGVlL1cHsXN_kvJOOhu-

  21. Learn SQL interactively: https://sqlbolt.com/

  22. Database management systems:

  23. Database internals, Architecture of a database system: http://db.cs.berkeley.edu/papers/fntdb07-architecture.pdf

  24. Collection of significant DBMS papers: http://www.redbook.io/

  25. Upper-level course on the internals of database management systems: https://15445.courses.cs.cmu.edu/fall2022/syllabus.html

  26. Intro to database systems: https://m.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf

  27. Advanced database management systems: https://youtube.com/playlist?list=PLSE8ODhjZXjYzlLMbX3cR0sxWnRM7CLFn

  28. Database group website: https://db.cs.cmu.edu/

  29. Crash course in c: https://cs.uwaterloo.ca/~plragde/flaneries/IYMLC/

  30. Introduction to C programming using C23: https://beej.us/guide/bgc/

  31. Design recipes in c: https://postfix.hci.uni-hannover.de/files/prog1script/script.html

  32. GDB: https://beej.us/guide/bggdb/

  33. Concurrency in Python

  34. Learning syntaxes of programming languages faster

  35. This intro to programming felt interesting pedagogy-wise: https://dcic-world.org/2022-08-28/index.html

  36. Programming language theory

  37. System Design

  38. Software Architecture: https://aosabook.org/en/

  39. Software engineering Free book + lectures

  40. Lectures: https://www.cs.cornell.edu/courses/cs5150/2020sp/lectures.html

  41. New syllabus video lectures: https://www.cs.cornell.edu/courses/cs5150/2022sp/schedule.html

  42. Strivers A2Z DSA Course/Sheet - Crack Any FAANG or PBCs: https://takeuforward.org/strivers-a2z-dsa-course/strivers-a2z-dsa-course-sheet-2/

  43. A curated list of Rust code and resources: https://github.com/rust-unofficial/awesome-rust

  44. Building a web browser Book: https://browser.engineering/

  45. A new browser from scratch: https://ladybird.dev/

  46. Andreas Kling (who previously worked on the teams that built the KD browser and Safari) is building a new web browser from scratch, including the JS engine. He's been live coding the browser: https://youtube.com/playlist?list=PLMOpZvQB55be0Nfytz9q2KC_drvoKtkpS&si=OK_c1L1mgfsCN3JN

  47. Jit compiler: https://youtube.com/playlist?list=PLMOpZvQB55bcTsXzRcBjHJJb52OGWwNjr&si=u2T_vkc4as5VgXKs

  48. Js bytecode VM: https://youtube.com/playlist?list=PLMOpZvQB55beChggmvk-sUm8X_vSezpqL&si=H62Jt1Q0qagbNGRq

  49. Visual web dev advanced HTML canvas and JS 2021: https://youtube.com/playlist?list=PLB0Tybl0UNfb3hTHPfEIg1SPw_-Ca9iIw&si=thq7P3s7mzDR-790

  50. Visual web dev advanced HTML canvas and JS 2019: https://youtube.com/playlist?list=PLB0Tybl0UNfY_W97391GIxM8I27c4HKRm&si=NlXUHKwRO_1Td30i

  51. Location-aware application development 2020: https://youtube.com/playlist?list=PLB0Tybl0UNfY1wfdwb8tlLBEz6H41P3aG&si=PCZbd2jyzNbmD06V

  52. Single Page Applications without using Big 4 frameworks: https://hypermedia.systems/

  53. Vanilla CSS, Kevin Powell: https://youtube.com/@KevinPowell?si=QZoUUaAG6ybCZ_m-

  54. DSA Roadmap: https://neetcode.io/roadmap

Computer Networks, CPU, Sytems programming, etc.:

  1. Internet: https://www.internetsociety.org/internet/history-internet/brief-history-internet/

  2. Open computer network books. The most rewarding book for a web developer: https://hpbn.co/

  3. Beginner-friendly (no pre-requisite): https://beej.us/guide/bgnet0/

  4. Other books to read if you have taken a course in computer systems

  5. Good lectures from a now archives stanford mooc: https://youtube.com/playlist?list=PLoCMsyE1cvdWKsLVyf6cPwCLDIZnOj0NS&si=VD5AUumItoBwSjbP

  6. simulation: https://netsim.erinn.io/

  7. Exercises: https://gaia.cs.umass.edu/kurose_ross/wireshark.php

  8. Guides:

  9. Network programming in C: https://beej.us/guide/bgnet

  10. Computer Networking, A top-down approach book by Jim Kurose, lectures from the author: https://m.youtube.com/@JimKurose/videos

  11. Introduction to IoT: https://microsoft.github.io/IoT-For-Beginners/#/

  12. Computer systems, What does a CPU do: https://cpu.land/

  13. Free and open introductory computer systems books:

  14. CS61C Computer Organization

  15. Systems programming. Introduction to computer systems

  16. CS 361

  17. Performance Engineering Of Software Systems(C programming): https://ocw.mit.edu/courses/6-172-performance-engineering-of-software-systems-fall-2018/pages/syllabus/

  18. GPU programming: https://enccs.github.io/gpu-programming/4-gpu-concepts/

  19. Design a CPU, learning computer architecture by building your own: https://www.udemy.com/course/design-a-cpu/

  20. Nand to Tetris, building a modern computer from first principles: https://www.nand2tetris.org/

AI-ML, Data Science, Deep Learning, etc.

1. Getting started with reading ML Research Papers (Written by Ellfer Rudy, Discord username: ellferrudy)

So, starting, you must know basic and common mathematic notations. For that, ill suggest you learn them and use some cheat sheets as a reference.

While reading a paper, always pay attention to the abstract, figures, introductions, and conclusions; make sure you understand them before moving on to the next sections, as it's important to understand the context. Sometimes, you may not understand, but read it twice, and if you still don't understand them, then watch some videos or summaries on paper to get the context. There are plenty of YouTube channels where they walk through the papers and explain them completely.

After reading them, skim through the entire paper and write down everything you understood (leave the mathematical part for now). After a break, go deep into it and understand why they used certain hyperparameters, why they used the particular optimizer, loss function, metrics, etc., what the performance of the model compared to other SOTA models, and how it differs from them before that take a good time to understand the illustrations of the architecture.

Once you get what they say on paper, try to write the code from scratch or copy-paste the implemented code and fiddle with it. Make sure to keep track of the formula while writing its functions. In the long run, this will help you understand an equation and what it'll do while reading the paper.

  1. Papers with Code: https://paperswithcode.com/

  2. Arxiv Sanity: https://arxiv-sanity-lite.com/

  3. Reference manager

  4. YouTube channels that explain research papers

  5. From 0 to Research Scientist, Detailed and tailored guide for UG students in AI: https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

  6. Data Science best resources: https://github.com/tirthajyoti/Data-science-best-resources

  7. A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep Learning by BentheCoder: https://github.com/benthecoder/yt-channels-DS-AI-ML-CS

  8. Curated resources for learning ML from scratch: https://sgfin.github.io/learning-resources/#realA

  9. Annotated PyTorch paper implementations: https://nn.labml.ai/index.html

  10. New paper on image editing and manipulation, Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold: https://huggingface.co/papers/2305.10973

  11. CSEP 546, Data Mining and Machine learning: https://www.youtube.com/watch?v=LnlW9gdjWfc&list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr

  12. dair-AI ML-Youtube courses: https://github.com/dair-ai/ML-YouTube-Courses

  13. Stanford CS230: Deep Learning - https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb

  14. Deep Learning by Andreas Geiger - https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD

  15. MIT 6.S191: Introduction to Deep Learning - https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

  16. Deep Learning Course (NYU, Spring 2020) - https://www.youtube.com/playlist?list=PL80I41oVxglKcAHllsU0txr3OuTTaWX2v

  17. Deep Learning - IIT Madras - https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT

  18. Neural Networks: Zero to Hero - https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ (personal fav. playlist)

  19. fast.ai:

  20. Supervised Machine Learning - https://www.coursera.org/learn/machine-learning

  21. Building systems with ChatGPT: https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/

  22. LangChain for LLM applications development: https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/

  23. ChatGPT Prompt Engineering for Devs: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

  24. Comprehensive list of awesome deep learning: https://github.com/Siddharth1India/Awesome-Deep-Learning

  25. Understanding Deep Learning, by Simon J.D Prince: https://udlbook.github.io/udlbook/

  26. Introduction to machine learning: https://www.youtube.com/watch?v=w2OtwL5T1ow&list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6

  27. Tasks, stability, architecture, and compute: Training more effective learned optimizers and using them to train themselves: https://arxiv.org/abs/2009.11243

  28. Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023: https://youtu.be/K_Dh0Sxujuc?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp&si=eDbam_QB6qYn00cO

  29. Introduction to Machine Learning: https://sebastianraschka.com/blog/2021/ml-course.html

  30. Applied Machine Learning: https://www.youtube.com/playlist?list=PL_pVmAaAnxIRnSw6wiCpSvshFyCREZmlM

  31. Introduction to Deep Learning: https://sebastianraschka.com/blog/2021/dl-course.html

  32. LLM Bootcamp: https://www.youtube.com/playlist?list=PL1T8fO7ArWleyIqOy37OVXsP4hFXymdOZ

  33. UMass CS685: Advanced Natural Language Processing (Spring 2024) https://www.youtube.com/playlist?list=PLWnsVgP6CzafDszSy-njjdqnliv5qT0EW

  34. Efficient Deep Learning Computing(EfficientML.ai): https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB

  35. Data science

  36. "This is a great little book to take you from “vaguely understand neural networks” to the modern broad state of practice. I saw very little to quibble with." - John Carmack

  37. Other advanced data science books: https://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/

  38. Transformer Resources:

  39. Blogs:

  40. Collection of ML/DL Courses: https://deep-learning-drizzle.github.io

  41. Cuda Mode Lectures: https://github.com/cuda-mode/lectures

UX/UI

  1. The Component Gallery is an up-to-date repository of interface components based on examples from the world of design systems: https://component.gallery/
  2. UI/UX case studies: https://growth.design/
  3. Material Design: https://m3.material.io/

Blockchain development

  1. These are sites that have web3 development courses for free.

Web Development

Basic courses and projects toolkit: https://gregarious-care-697.notion.site/Web-Development-Toolkit-8f964211de6a4b529840ca8d390300d0

Some advanced web development tools:

  1. Accessibility:
  2. Animations:
  3. API:
  4. Authentication:
  5. Backgrounds:
  6. Email:
  7. Cheatsheets:
  8. Deployment:

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