LucidProgramming YouTube Tutorial Scripts:

LucidProgramming is my YouTube channel and this repo consists of a collection of scripts corresponding to YouTube tutorials for my YouTube channel.

Sponsoring

If you found this code useful in your programming journey, please consider sponsoring the creation of my content by clicking on the "Sponsor" button in this repo.

The funding goes to the creation of new videos, code, and time spent responding to questions, comments, etc.

Your support allows me to spend more time on creating more content to help learners!

I thank the following supporters for helping sponsor the free content here:

Contributing

I would love to compile solutions to all of the problems here, as well as offer solutions in different languages. Just create a pull request with your changes.

Index

Algorithms

Greedy Algorithms

• Optimal Task Assingment
  Determine the optimal way to assign two tasks to minimize total time.

Recursion

• Count Consonants
  Count the number of consonants present in a string.

• Find Uppercase
  Given a string, find the first uppercase character.

• Product Two Numbers
  Recursively calculate the product of two numbers.

• String Length
  Recursively calculate the length of a given string.

Search Algorithms

• Binary Search
  Iterative and recursive implementation and comparison of binary search.

• Python's Bisect Method
  We cover the "bisect" function in Python, and how this can be used to apply to problems requiring binary search.

• Cyclic Sorted Array
  We use binary search to determine the first element of a sorted cyclically rotated list.

• Find Bitonic Peak
  Determine what the "bitonic peak" of a sequence of numbers is using binary search.

• Find Bitonic Peak
  Determine what the "bitonic peak" of a sequence of numbers is using binary search.

• Find Closest Number
  Given an array of sorted integers. We need to find the closest value to the given number.

• Find First Duplicate Entry
  Write a function that takes an array of sorted integers and a key and returns the index of the first occurrence of that key from the array.

• Find Fixed Point
  Given an array of n distinct integers sorted in ascending order, write a function that returns a "fixed point" in the array. If there is not a fixed point return "None".

• Integer Square Root
  Write a function that takes a non-negative integer and returns the largest integer whose square is less than or equal to the integer given.

Sorting Algorithms

• Intersect Sorted Array
  Calculate the intersection (common elements) between two sorted arrays.

• Remove First Name Duplicates
  Given a list of first/last name pairs, eliminate any entries with duplicate first names.

String Processing

• Convert Integer to String
  You are given some integer as input. Convert the integer you are given to a string. Do not make use of the built-in "str" function.

• Convert String to Integer
  You are given some numeric string as input. Conver the string you are given to an integer. Do not make use of the built-in "int" function.

• Is Anagram
  Given a string, determine if it is an anagram, i.e. a word or phrase formed by rearranging the letters of a different word or phrase.

• Is Palindrome
  Given a string, determine if it is a palindrome, i.e. a word or phrase that can be read the same forwards and backwards.

• Is Permutation
  Given two strings, determine if one string is a permutation of the other.

• Is Palindrome Permutation
  Given a string, determine if it is a permutation of a palindrome.

• Is Unique
  Implement an algorithm to determine if a string has all unique characters.

• Look-and-Say Sequence
  Generate the so-called "Look-and-Say" sequence

• Spreadsheet Decode
  Given a list of first/last name pairs, eliminate any entries with duplicate first names.

• Spreadsheet Encode
  Given a column string as formatted in a spreadsheet program, write a function that returns a number corresponding to that particular column.

Bit Manipulation

• Find Set Bit
  Given a number having only one "1" and all other "0"s in its binary representation, find position of set bit.

• Is Even or Odd
  Write a program to determine if a given number is even or odd. Do not make use of the modulus operator.

• Is Nth Bit Set
  Write a program that takes an integer and tests whether the n-th bit in the binary representation of that integer is set of not.

• Is Power Two
  Given a positive integer, check if the integer is a power of 2.

• Set Nth Bit
  Write a program that takes an integer and sets the n-th bit in the binary representation of that integer.

• Toggle Nth Bit
  Write a program that takes an integer and toggles the n-th bit in the binary representation of that integer.

• Unset Nth Bit
  Write a program that takes an integer and unsets the n-th bit in the binary representation of that integer.

• Unset Right-Most Bit
  Write a program that takes an integer and unsets the right most bit in the binary representation of that integer

Data Science

• [Data Science, Kaggle, Wine and Python -- Part 1: Pandas] (https://www.youtube.com/watch?v=BQj7sy2MmOA) We go over what the agenda is for the series and go over some basics in the pandas module.

Data Structures

Arrays

• Arbitrary Precision Arithmetic
  Given two arrays that each represent an integer, compute the sum between these numbers.

• Array Advance
  Given an array with integers that correspond to moves that can be made from left to right, determine if it is possible to advance to the end of the array.

• Buy and Sell Stock Once
  Given a list of end-day stock prices, determine what the maximum profit one can make by buying and selling a single stock.

• Two Sum
  Given an array of integers, return the two numbers such that they add up to a specific target.

Bloom Filter

• Bloom Filters and Pokemon
  An introduction to Bloom filters using Pokemon to explain key concepts.

Linked List

Singly Linked List

• Count Occurrences
  Given a data element, determine how many nodes in a singly linked list contain this piece of data.

• Deletion
  Given a data element, delete all nodes in a singly linked list that have this given data element.

• Insertion
  Insert an element into a singly linked list.

• Is Palindrome
  Given a singly linked list, determine if the data elements form a palindrome.

• Length
  Given a singly linked list, calculate the length, i.e. the number of nodes in the linked list.

• Merge Sorted
  Given two sorted singly linked lists, produce a merged singly linked list that is also sorted.

• Nth-to-Last
  Given a singly linked list and an integer N, determine the Nth-to-last node in the list.

• Remove Duplicates
  Given a singly linked list, remove all nodes with duplicate data elements.

• Reverse
  Given a singly linked list, reverse the linked list.

• Rotate
  Given a singly linked list and an integer, rotate the contents of the singly linked list.

• Sum Two Lists
  Given two singly linked lists representing integers, produce a third singly linked list that represents the sum of these integers.

• Swap Nodes
  Given a singly linked list and two nodes, swap the first node with the second.

• Tail to Head
  Given a singly linked list swap the tail of the list with the head.

Circular Linked List

• Insert
  Insert a node into a circular linked list.

• Is Circular Linked List
  Given a linked list, determine if it is a circular linked list.

• Josephus Problem
  Solve the so-called Josephus Problem using a circular linked list.

• Remove Node
  Remove node from a circular linked list.

• Split List
  Given a circular linked list an an integer, split the circular linked list.

Doubly Linked List

• Add Before/Add After
  Add a node in a doubly linked list before a given node. Add a node in a doubly linked list after a given node.

• Append/Prepend
  Append (add to back) a node to a doubly linked list. Prepend (add to front) a node to a doubly linked list.

• Delete
  Delete a node in a doubly linked list.

• Insert
  Insert a node in a doubly linked list.

• Pairs with Sum
  Obtain the pairs of nodes that sum up to a given target element.

• Remove Duplicates
  Remove duplicates from a doubly linked list.

• Reverse
  Reverse a doubly linked list.

Stack

• Stack Implementation
  Impelementation and description of the stack data structure.

• Balanced Parens
  Using the stack data structure, determine if a string of parentheses are properly balanced or not.

• Divide by Two
  Perform division by two using the stack data structure.

• Reverse String
  Reverse a string using the stack data structure.

Go

• 1. Hello World
  Introduction to the "Go" Programming language.

• 2. Values
  Cover the concept of "values" in Go.

• 3. Variables
  Cover the concept of "variables" in Go.

• 4. Constants
  Cover the concept of "constants" in Go.

• 5. Loops
  Cover looping constructs in Go.

• 6. If/Else
  Cover "if/else" conditonal statements.

• 7. Switch
  Cover conditional "switch" statements.

• 8. Arrays
  Cover the concept of "arrays" in Go.

• 9. Slices
  Cover the concept of slicing in arrays in Go.

• 10. Maps
  Cover the concept of "maps" in Go.

• 11. Range
  Cover the "range" function in Go.

• 12. Functions
  Cover the concept of "functions" in Go.

• 13. Multiple Return Values
  Cover how to create functions with multiple return values in Go.

• 14. Variadic Functions
  Cover how to create functions with multiple types.

• 15. Closures
  Cover the concept of "closures" in Go.

• 16. Recursion
  Cover the concept of "recursion" in Go.

• 17. Pointers
  Cover the concept of "pointers" in Go.

• 18. Structs
  Cover the concept of "structs" in Go.

• 19. Methods
  Cover the concept of "methods" in Go.

• 20. Interfaces
  Cover the concept of "interfaces" in Go.

imgur Python

• Python and the imgur API: Setup and Installation (Part 1/3)
  Setup for imgur API to access via Python module.

• Python and the imgur API: Authentication (Part 2/3)
  Authenticating our imgur application.

• Python and the imgur API: Image Upload (Part 3/3)
  Uploading an image to an imgur gallery using the Python imgur module.

Multiprocessing and Threading

• Multiprocessing in Python: Introduction (Part 1)
  An introduction to the multiprocessing module in Python.

• Multiprocessing in Python: Introduction (Part 2)
  A continuation of the introduction of the multiprocessing module in Python.

• Multiprocessing in Python: Locks
  An introduction to lock objects in the multiprocessing module.

• Multiprocessing in Python: Logging
  We see how to make use of the multiprocessing logging functionality.

• Multiprocessing in Python: Pool
  We see how to make use of the multiprocessing Pool class and how to spawn multiple processes.

• Multiprocessing in Python: Process Communication
  We see how to make use of the multiprocessing communicate information among different processes.

Natural Language Processing

• Natural Language Processing in Python: Part 1 -- Installation and Getting Started
  Accommodating blog post for this video can be found here.

• Natural Language Processing in Python: Part 2 -- Accessing Text Resources
  Accommodating blog post for this video can be found here.

• Natural Language Processing in Python: Part 3 -- Generating Word Clouds
  Accommodating blog post for this video can be found here.

• Natural Language Processing in Python: Part 4 -- WordNet
  Accommodating blog post for this video can be found here.

• Natural Language Processing in Python: Part 5 -- Stemming and Lemmatization
  Accommodating blog post for this video can be found here.

Podcasts and Interviews

• Transitioning from Non-Tech to Tech: An Interview with Beau Carnes
  A conversation with Beau Carnes regarding his journey in shifting from a teaching career to a technical career.

• Preparing for a Technical Interview: An Interview with Sam Gavis-Hughson of Byte-by-Byte
  A conversation with Sam Gavis-Hughson of Byte-by-Byte about how to effectively prepare for a technical interview.

System Design

• System Design: URL Shortener -- Introduction
  An introduction to system design interviews and Part 1 of designing the URL shortener.

• System Design: URL Shortener -- Calculating Estimates
  Part 2 of the URL shortener system design interview question where we cover how to roughly estimate costs for the project.

• System Design: URL Shortener -- Database Design
  Part 3 of the URL shortener system design interview question where we cover database design.

• System Design: General Approach
  A general overview of how to approach the system design interview.

• System Design: Photo Sharing Website
  

Technical Interview

• Check if String has Unique Characters
  Write a script to determine if a given string has all unique characters.

• Is Anagram
  Write a script to determine if a given string is an anagram.

• Check if String is Permutation
  Given two strings, check if they are permutations of each other.

• Check if String is Palindrome
  Given a string, check if it is a palindrome.

• Two Sum Problem
  Given an array of integers, return indices of the two numbers such that they add up to a specific target. Each input would have exactly one solution, and don't use the same element twice.

• Single Number Problem
  Given an array of integers, every element appears twice except for one. Find that single one.

• FizzBuzz
  Solving the infamous "FizzBuzz" problem in Python.

• Iterative and Recursive Factorial
  Calculate the factorial of a positive integer. Do so using both an iterative and recursive approach.

• URLify String
  Write a method to replace all spaces in a string with '%20'. You may assume that the string has sufficient space at the end to hold the additional characters and that you are given the "true" length of the string.

• One Away
  There are three types of edits that can be performed on strings: insert a character, remove a character, or replace a character. Given two strings, write a function to check if they are one edit (or zero edits) away.

• Matrix Median
  We are given a row-wise sorted matrix of size r-by-c we need to find the median of the matrix given. It is assumed that r-by-c is always odd.

• String Compression
  String Compression: Implement a method to perform basic string compression using the counts of repeated characters. For example, the string "aabcccccaaa" would become a2b1c5a3. If the "compressed" string would not become smaller than the original string, your method should return the original string. You can assume the string has only uppercase and lowercase letters (a-z).

• String Rotation
  String Rotation: Given two strings, s1 and s2, write code to check if s2 is a rotation of s1 (e.g. "waterbottle" is a rotation of "erbottlewat").

• Count Ones in Binary Representation
  Find the number of 1s in the binary representation of a number.

Twitter Python

• Twitter API with Python (Part 1/5)
  We make use of the Tweepy module in Python to create a script that allows us to interface with Twitter.

• Twitter API with Python (Part 2/5)
  We make use of the Tweepy module in Python to create a script that allows us to interface with Twitter.

• Twitter API with Python (Part 3/5)
  We make use of the Tweepy module in Python to create a script that allows us to interface with Twitter.

• Twitter API with Python (Part 4/5)
  We make use of the Tweepy module in Python to create a script that allows us to interface with Twitter.

• Twitter API with Python (Part 5/5)
  We make use of the Tweepy module in Python to create a script that allows us to interface with Twitter.

Utility Scripts

• Python: Converting WAV to MP3
  Write a script in Python to convert a .wav file to a .mp3 formatted file.

• Markdown: Creating Presentations Using Markdown and Pandoc
  Cover how to create slides using pandoc and markdown.

• Sending an Email in Python via Gmail
  Send an email from a Python script with Gmail as the email client.

Vim

• Vim: Setting up Vim for Python Development
  Video to set up your Vim environment specifically geared for Python development.

• Vim: Let's Play VimTutor! (Part 1)
  Part 1 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 2)
  Part 2 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 3)
  Part 3 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 4)
  Part 4 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 5)
  Part 5 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 6)
  Part 6 of going through the built-in Vim tutor.

• Vim: Let's Play VimTutor! (Part 7)
  Part 7 of going through the built-in Vim tutor.

Web Scraping and Automation

BeautifulSoup

• BeautifulSoup and Requests: Getting Started and Quick Example
  A quick and simple introduction to BeautifulSoup using the Requests module.

• BeautifulSoup in Python: Objects
  We cover various objects that one uses in BeautifulSoup and see how they can be made use of.

PyAutoGui

• PyAutoGui: Automate GUI Applications with Python and PyAutoGui (Part 1)
  Introduce the PyAutoGui module and give some initial examples of what can be achieved with it.

• PyAutoGui: Automate the Calculator! (Part 2)
  Write a program that makes use of the PyAutoGui module to manipulate the system calculator.

• PyAutoGui: Control the Mouse (Part 3)
  Write a program that makes of of the PyAutoGui module to manipulate the mouse.

Robobrowser

• Using Robobrowser to Login and Extract Data
  We use the Robobrowser module to login to a website automatically and extract information once logged in.

• Gift Card Scraper with Python and Robobrowser
  We use the Robobrowser module to extract balance information for a given giftcard.

Scrapy

• Scrapy: Setup and First Project
  We install the scrapy module and setup an small project.

Selenium

• Selenium IDE: Installation and “Hello World” Example
  An introduction to the Selenium IDE where we illustrate some of its automation capabilities.

• Python and Selenium: Using Chrome
  If you wish to use Chrome instead of Firefox with Selenium and Python, this video illustrates how to set that up.

• Crawling Pages with Selenium (Part 1/2)
  A simple multi-page website is used to illustrate how to extract content and move through pages.

• Crawling Pages with Selenium (Part 2/2)
  A simple multi-page website is used to illustrate how to extract content and move through pages.

• Craigslist Scraper with Python and Selenium (Part 1/3)
  Write a script using Selenium, Beautiful Soup, and urllib to extract information from the website Craigslist.

• Craigslist Scraper with Python and Selenium (Part 2/3)
  Write a script using Selenium, Beautiful Soup, and urllib to extract information from the website Craigslist.

• Craigslist Scraper with Python and Selenium (Part 3/3)
  Write a script using Selenium, Beautiful Soup, and urllib to extract information from the website Craigslist.

• Amazon Sheets Budget: Introduction (Part 1/7) Showcase what the overall script and show what will be accomplished in this series.

• Amazon Sheets Budget Setup Google Sheets and Google Drive API (Part 2/7) Setup Google Sheets and Google Drive API. Install gspread and oauth in Python. Share the spreadsheet to allow access for script.

• Amazon Sheets Budget: Automate Amazon Search (Part 3/7) Amazon bot for searching for item, picking first one, navigating to page and extracting and cleaning the price.

• Amazon Sheets Budget: Extracting More Amazon Content (Part 4/7) Adding functionality to extract the Amazon title, AISN, and URL. Storing this in spreadsheet.

• Amazon Sheets Budget: Updating the Google Sheet (Part 5/7) Price updater component that takes the prices and plugs them into the spreadsheet.

• Amazon Sheets Budget: Setting up Email Alerts (Part 6/7) Once completed processing, add in functionality for emailing to self. Primarily will refer to other video that describes how to send email in Python.

• Amazon Sheets Budget: Wrap-Up (Part 7/7) Outro video that wraps up everything and gives a brief overview of what we accomplished in this series.