Top 9 Recommended Python Self-Study Materials! [December 2023]

Welcome to the 100 Days of Code - The Complete Python Pro Bootcamp, the only course you need to learn to code with Python. With over 500,000 5 STAR reviews and a 4.8 average, my courses are some of the HIGHEST RATED courses in the history of Udemy!  

100 days, 1 hour per day, learn to build 1 project per day, this is how you master Python.

At 60+ hours, this Python course is without a doubt the most comprehensive Python course available anywhere online. Even if you have zero programming experience, this course will take you from beginner to professional. Here's why:

• The course is taught by the lead instructor at the App Brewery, London's best in-person programming Bootcamp.

• The course has been updated to be 2023 ready and you'll be learning the latest tools and technologies used at large companies such as Apple, Google and Netflix.

• This course doesn't cut any corners, there are beautiful animated explanation videos and tens of real-world projects which you will get to build. e.g. Tinder auto swiper, Snake game, Blog Website, LinkedIn Auto Submit Job Application

• The curriculum was developed over a period of 2 years, with comprehensive student testing and feedback.

• We've taught over 600,000 students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.

• You'll save yourself over $12,000 by enrolling, and still get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming Bootcamp.

• The course is constantly updated with new content, with new projects and modules determined by students - that's you!

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.

The course includes over 65 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.

Throughout this comprehensive course, we cover a massive amount of tools and technologies, including:

• Python 3 - the latest version of Python

• PyCharm, Jupyter Notebook, Google Colab

• Python Scripting and Automation

• Python Game Development

• Web Scraping

• Beautiful Soup

• Selenium Web Driver

• Request

• WTForms

• Data Science

• Pandas

• NumPy

• Matplotlib

• Plotly

• Scikit learn

• Seaborn

• Turtle

• Python GUI Desktop App Development

• Tkinter

• Front-End Web Development

• HTML 5

• CSS 3

• Bootstrap 4

• Bash Command Line

• Git, GitHub and Version Control

• Backend Web Development

• Flask

• REST

• APIs

• Databases

• SQL

• SQLite

• PostgreSQL

• Authentication

• Web Design

• Deployment with GitHub Pages, Heroku and GUnicorn

• and much much more!

By the end of this course, you will be fluently programming in Python and you'll be so good at Python that you can get a job or use the language professionally.

You'll also build a portfolio of 100 projects that you can show off to any potential employer. Including:

• Blackjack

• Snake Game

• Pong Game

• Auto Swipe on Tinder

• Auto Job Applications on LinkedIn

• Automate Birthday Emails/SMS

• Fully Fledged Blog Website

• Build Your Own Public API

• Data Science with Google Trends

• Analysing Lego Datasets

• Google App Store Analysis

• and much much more!

Sign up today, and look forward to:

• Video Lectures

• Code Challenges and Exercises

• Fully Fledged Projects

• Quizzes

• Programming Resources and Cheatsheets

• Downloads

• Our best selling 12 Rules to Learn to Code eBook

• $12,000+ Python Pro Bootcamp course materials and curriculum

Don't just take my word for it, check out what existing students have to say about my courses:

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REMEMBER… I'm so confident that you'll love this course that we're offering a FULL money-back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risk and EVERYTHING to gain.

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1. Day 1 - Beginner - Working with Variables in Python to Manage Data
2. What you're going to get from this course
3. START HERE
4. Downloadable Resources and Tips for Taking the Course
5. Day 1 Goals: what we will make by the end of the day
6. FAQ: Can I Use PyCharm/VSCode/ Another Local Code Editor?
7. Printing to the Console in Python
8. Join our Class on Auditorium
9. [Interactive Coding Exercise] Printing
10. String Manipulation and Code Intelligence
11. [Interactive Coding Exercise] Debugging Practice
12. The Python Input Function
13. [Interactive Coding Exercise] Input Function
14. Python Variables
15. [Interactive Coding Exercise] Variables
16. Variable Naming
17. Variable Naming Quiz
18. Day 1 Project: Band Name Generator
19. Congratulations! Well done!
20. Day 2 - Beginner - Understanding Data Types and How to Manipulate Strings
21. Day 2 Goals: what we will make by the end of the day
22. Python Primitive Data Types
23. Data Types Quiz
24. Type Error, Type Checking and Type Conversion
25. [Interactive Coding Exercise] Data Types
26. Mathematical Operations in Python
27. [Interactive Coding Exercise] BMI Calculator
28. Number Manipulation and F Strings in Python
29. [Interactive Coding Exercise] Life in Weeks
30. Mathematical Operations Quiz
31. Day 2 Project: Tip Calculator
32. You are already in the top 50%
33. Day 3 - Beginner - Control Flow and Logical Operators
34. Day 3 Goals: what we will make by the end of the day
35. Get Access to the Monthly App Brewery Newsletter
36. Control Flow with if / else and Conditional Operators
37. [Interactive Coding Exercise] Odd or Even? Introducing the Modulo
38. Nested if statements and elif statements
39. [Interactive Coding Exercise] BMI 2.0
40. [Interactive Coding Exercise] Leap Year
41. Multiple If Statements in Succession
42. [Interactive Coding Exercise] Pizza Order Practice
43. Logical Operators
44. [Interactive Coding Exercise] Love Calculator
45. Day 3 Project: Treasure Island
46. Share and Show off your Project!
47. Day 4 - Beginner - Randomisation and Python Lists
48. Day 4 Goals: what we will make by the end of the day
49. Random Module
50. [Interactive Coding Exercise] Heads or Tails
51. Understanding the Offset and Appending Items to Lists
52. [Interactive Coding Exercise] Banker Roulette - Who will pay the bill?
53. IndexErrors and Working with Nested Lists
54. List and IndexError Quiz
55. [Interactive Coding Exercise] Treasure Map
56. Day 4 Project: Rock Paper Scissors
57. Programming is like going to the Gym
58. Day 5 - Beginner - Python Loops
59. Day 5 Goals: what we will make by the end of the day
60. Using the for loop with Python Lists
61. [Interactive Coding Exercise] Average Height
62. [Interactive Coding Exercise] High Score
63. for loops and the range() function
64. [Interactive Coding Exercise] Adding Even Numbers
65. [Interactive Coding Exercise] The FizzBuzz Job Interview Question
66. Day 5 Project: Create a Password Generator
67. Hard Work and Perseverance beats Raw Talent Every Time
68. Day 6 - Beginner - Python Functions & Karel
69. Day 6 Goals: what we will make by the end of the day
70. Defining and Calling Python Functions
71. The Hurdles Loop Challenge
72. Indentation in Python
73. Code Indentation Quiz
74. While Loops
75. Hurdles Challenge using While Loops
76. Jumping over Hurdles with Variable Heights
77. Final Project: Escaping the Maze
78. Why is this *so* Hard?! Can I really do this?
79. Day 7 - Beginner - Hangman
80. Day 7 Goals: what we will make by the end of the day
81. How to break a Complex Problem down into a Flow Chart
82. Challenge 1 - Picking a Random Words and Checking Answers
83. Challenge 1 Solution - How to Check the User's Answer
84. Challenge 2 - Replacing Blanks with Guesses
85. Challenge 2 Solution - How to Replace the Blanks
86. Challenge 3 - Checking if the Player has Won
87. Challenge 3 Solution - How to Check if the Player Won
88. Challenge 4 - Keeping Track of the Player's Lives
89. Challenge 4 Solution - How to Keep Track of the Player's Lives
90. Challenge 5 - Improving the User Experience
91. Challenge 5 Solution - How to Add ASCII Art and Improve the UI
92. The Benefits of Daily Practice
93. Day 8 - Beginner - Function Parameters & Caesar Cipher
94. Day 8 Goals: what we will make by the end of the day
95. Functions with Inputs
96. Positional vs. Keyword Arguments
97. [Interactive Coding Exercise] Paint Area Calculator
98. [Interactive Coding Exercise] Prime Number Checker
99. Caesar Cipher Part 1 - Encryption
100. Caesar Cipher Part 2 - Decryption
101. Caesar Cipher Part 3 - Reorganising our Code
102. Caesar Cipher Part 4 - User Experience Improvements & Final Touches
103. How You Can *Stay* Motivated
104. Day 9 - Beginner - Dictionaries, Nesting and the Secret Auction
105. Day 9 Goals: what we will make by the end of the day
106. The Python Dictionary: Deep Dive
107. [Interactive Coding Exercise] Grading Program
108. Nesting Lists and Dictionaries
109. [Interactive Coding Exercise] Dictionary in List
110. Python Dictionaries Quiz
111. The Secret Auction Program Instructions and Flow Chart
112. Solution and Complete Code for the Secret Auction Program
113. Motivation and the Accountability Trick
114. Day 10 - Beginner - Functions with Outputs
115. Day 10 Goals: what we will make by the end of the day
116. Functions with Outputs
117. Multiple return values
118. [Interactive Coding Exercise] Days in Month
119. Docstrings
120. Functions Quiz
121. Calculator Part 1: Combining Dictionaries and Functions
122. Print vs. Return
123. While Loops, Flags and Recursion
124. Calculator Finishing Touches and Bug Fixes
125. How to Get a Good Night's Sleep
126. Day 11 - Beginner - The Blackjack Capstone Project
127. Day 11 Goals: what we will make by the end of the day
128. Blackjack Program Requirements and Game Rules
129. Hint 4 & 5 Solution Walkthrough
130. Hint 6-8 Solution Walkthrough
131. Hint 9 Solution Walkthrough: Refactoring and calling calculate_score()
132. Hint 10-12 Solution Walkthrough
133. Hint 13 Solution Walkthrough
134. A Solid Foundation goes a Long Way
135. Day 12 - Beginner - Scope & Number Guessing Game
136. Namespaces: Local vs. Global Scope
137. Does Python Have Block Scope?
138. How to Modify a Global Variable
139. Python Constants and Global Scope
140. Scope Quiz
141. Introducing the Final Project: The Number Guessing Game
142. Solution & Walkthrough to the Number Guessing Game
143. Don't be too hard on yourself
144. Day 13 - Beginner - Debugging: How to Find and Fix Errors in your Code
145. Describe the Problem
146. Reproduce the Bug
147. Play Computer and Evaluate Each Line
148. Fixing Errors and Watching for Red Underlines
149. Squash bugs with a print() Statement
150. Bringing out the BIG Gun: Using a Debugger
151. Final Debugging Tips
152. [Interactive Coding Exercise] Debugging Odd or Even
153. [Interactive Coding Exercise] Debugging Leap Year
154. [Interactive Coding Exercise] Debugging FizzBuzz
155. Building Confidence
156. Day 14 - Beginner - Higher Lower Game Project
157. Introduction & Program Requirements for the Higher Lower Game
158. Solution & Walkthrough of the Higher Lower Game
159. Study Tip: Set Reminders in Your Calendar to Review
160. Day 15 - Intermediate - Local Development Environment Setup & the Coffee Machine
161. Installing Python Locally on Your Computer
162. Download PyCharm for Windows or Mac
163. PyCharm's Charming Features (while you wait for the download to finish)
164. How to Install PyCharm on Windows
165. Installing PyCharm on Mac
166. Introduction & Requirements for the Coffee Machine Project
167. Solution & Walkthrough for the Coffee Machine Code
168. Location, Location, Location - Pavlov's Coding Corner
169. Day 16 - Intermediate - Object Oriented Programming (OOP)
170. Why do we need OOP and how does it work?
171. How to use OOP: Classes and Objects
172. Constructing Objects and Accessing their Attributes and Methods
173. How to Add Python Packages and use PyPi
174. Practice Modifying Object Attributes and Calling Methods
175. Python Objects Quiz
176. Building the Coffee Machine in OOP
177. Walkthrough and Solution for the OOP Coffee Machine
178. Don't forget to review occasionally
179. Day 17 - Intermediate - The Quiz Project & the Benefits of OOP
180. Day 17 Goals: what we will make by the end of the day
181. How to create your own Class in Python
182. Working with Attributes, Class Constructors and the __init__() Function
183. Adding Methods to a Class
184. Quiz Project Part 1: Creating the Question Class
185. Quiz Project Part 2: Creating the List of Question Objects from the Data
186. Quiz Project Part 3: The QuizBrain and the next_question() Method
187. Quiz Project Part 4: How to continue showing new Questions
188. Quiz Project Part 5: Checking Answers and Keeping Score
189. The Benefits of OOP: Use Open Trivia DB to Get New Questions
190. Run for that Bus!
191. Day 18 - Intermediate - Turtle & the Graphical User Interface (GUI)
192. Day 18 Goals: what we will make by the end of the day
193. Understanding Turtle Graphics and How to use the Documentation
194. Turtle Challenge 1 - Draw a Square
195. Importing Modules, Installing Packages, and Working with Aliases
196. Turtle Challenge 2 - Draw a Dashed Line
197. Turtle Challenge 3 - Drawing Different Shapes
198. Turtle Challenge 4 - Generate a Random Walk
199. Python Tuples and How to Generate Random RGB Colours
200. Turtle Challenge 5 - Draw a Spirograph

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With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio!

Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more!

This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you!

We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered.

We cover a wide variety of topics, including:

• Command Line Basics

• Installing Python

• Running Python Code

• Strings

• Lists 

• Dictionaries

• Tuples

• Sets

• Number Data Types

• Print Formatting

• Functions

• Scope

• args/kwargs

• Built-in Functions

• Debugging and Error Handling

• Modules

• External Modules

• Object Oriented Programming

• Inheritance

• Polymorphism

• File I/O

• Advanced Methods

• Unit Tests

• and much more!

You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course!

So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

1. Course Overview
2. Auto-Welcome Message
3. Course Introduction
4. Course Curriculum Overview
5. Why Python?
6. Course FAQs
7. Python Setup
8. Command Line Basics
9. Installing Python (Step by Step)
10. Running Python Code
11. Getting the Notebooks and the Course Material
12. Git and Github Overview (Optional)
13. Python Object and Data Structure Basics
14. Introduction to Python Data Types
15. Python Numbers
16. Numbers: Simple Arithmetic
17. Numbers - FAQ
18. Numbers Quiz
19. Variable Assignments
20. Introduction to Strings
21. Quick Print Check
22. Indexing and Slicing with Strings
23. String Indexing
24. String Slicing
25. String Properties and Methods
26. Strings -FAQ
27. Strings Quiz
28. Print Formatting with Strings
29. Print Formatting FAQs
30. Print Formatting
31. Lists in Python
32. Lists
33. Lists - FAQ
34. Lists Quiz
35. Dictionaries in Python
36. Dictionaries
37. Dictionaries - FAQ
38. Dictionaries Quiz
39. Tuples with Python
40. Tuples Quiz
41. Sets in Python
42. Sets
43. Booleans in Python
44. Sets and Booleans Quiz
45. I/O with Basic Files in Python
46. File I/O
47. Resources for More Basic Practice
48. Python Objects and Data Structures Assessment Test Overview
49. Python Objects and Data Structures Assessment Test Solutions
50. Python Comparison Operators
51. Comparison Operators in Python
52. Chaining Comparison Operators in Python with Logical Operators
53. Comparison Operators Quiz
54. Python Statements
55. If Elif and Else Statements in Python
56. For Loops in Python
57. While Loops in Python
58. Useful Operators in Python
59. List Comprehensions in Python
60. Python Statements Test Overview
61. Python Statements Test Solutions
62. Methods and Functions
63. Methods and the Python Documentation
64. Introduction to Functions
65. def Keyword
66. Basics of Python Functions
67. Logic with Python Functions
68. Tuple Unpacking with Python Functions
69. Interactions between Python Functions
70. Overview of Quick Function Exercises #1-10
71. Quick Check on Solutions Link
72. Functions #1: print Hello World
73. Functions #2: print Hello Name
74. Functions #3 - simple Boolean
75. Functions #4 - using Booleans
76. Functions #5: simple math
77. Functions #6: is even
78. Functions #7: is greater
79. *args and **kwargs in Python
80. Functions #8: *args
81. Functions #9: pick evens
82. Functions #10: skyline
83. Function Practice Exercises - Overview
84. Function Practice Exercises - Solutions
85. Function Practice - Solutions Level One
86. Function Practice - Solutions Level Two
87. Function Exercise Solutions - Challenge Problem
88. Lambda Expressions, Map, and Filter Functions
89. Nested Statements and Scope
90. Methods and Functions Homework Overview
91. Methods and Functions Homework - Solutions
92. Milestone Project - 1
93. Introduction to Warm Up Project Exercises
94. Displaying Information
95. Accepting User Input
96. Validating User Input
97. Simple User Interaction
98. First Python Milestone Project Overview
99. Milestone Project Help
100. Solution Overview for MileStone Project 1 - Part One
101. Solution Overview for MileStone Project 1 - Part Two
102. Object Oriented Programming
103. Object Oriented Programming - Introduction
104. Object Oriented Programming - Attributes and Class Keyword
105. Object Oriented Programming - Class Object Attributes and Methods
106. Object Oriented Programming - Inheritance and Polymorphism
107. Object Oriented Programming - Special (Magic/Dunder) Methods
108. Object Oriented Programming - Homework
109. Object Oriented Programming - Homework Solutions
110. Object Oriented Programming - Challenge Overview
111. Object Oriented Programming - Challenge Solution
112. Modules and Packages
113. Pip Install and PyPi
114. Modules and Packages
115. __name__ and "__main__"
116. Errors and Exceptions Handling
117. Errors and Exception Handling
118. Errors and Exceptions Homework
119. Errors and Exception Homework - Solutions
120. Update for Pylint Users
121. Pylint Overview
122. Running tests with the Unittest Library
123. Milestone Project - 2
124. Introduction to Milestone Project 2 Section Warmup
125. Card Class
126. Deck Class
127. Player Class
128. Game Logic - Part One
129. Game Logic - Part Two
130. Game Logic - Part Three
131. Milestone Project 2 Overview
132. Solution Walkthrough - Card and Deck classes
133. Solution Walkthrough - Hand and Chip Classes
134. Solution Walkthrough - Functions for Game Play
135. Solutions Walkthrough - Final Gameplay Script
136. Python Decorators
137. Decorators with Python Overview
138. Decorators Homework
139. Python Generators
140. Generators with Python
141. Generators Homework Overview
142. Generators Homework Solutions
143. Advanced Python Modules
144. Introduction to Advanced Python Modules
145. Python Collections Module
146. Opening and Reading Files and Folders (Python OS Module)
147. Python Datetime Module
148. Python Math and Random Modules
149. Python Debugger
150. Python Regular Expressions Part One
151. Python Regular Expressions Part Two
152. Python Regular Expressions Part Three
153. Timing Your Python Code
154. Zipping and Unzipping files with Python
155. Advanced Python Module Puzzle - Overview
156. Advanced Python Module Puzzle - Solution
157. Web Scraping with Python
158. Introduction to Web Scraping
159. Setting Up Web Scraping Libraries
160. Python Web Scraping - Grabbing a Title
161. Python Web Scraping - Grabbing a Class
162. Python Web Scraping - Grabbing an Image
163. Python Web Scraping - Book Examples Part One
164. Python Web Scraping - Book Examples Part Two
165. Python Web Scraping - Exercise Overview
166. Python Web Scraping - Exercise Solutions
167. Working with Images with Python
168. Introduction to Images with Python
169. Working with Images with Python
170. Python Image Exercises - Overview
171. Python Image Exercises - Solution
172. Working with PDFs and Spreadsheet CSV Files
173. Introduction to PDFs and Spreadsheets with Python
174. Working with CSV Files in Python
175. Working with PDF Files in Python
176. PDFs and Spreadsheets Python Puzzle Exercise
177. PDFs and Spreadsheets Python Puzzle Exercise - Solutions
178. Emails with Python
179. Introduction to Emails with Python
180. Sending Emails with Python
181. Receiving Emails with Python
182. Final Capstone Python Project
183. Final Capstone Project
184. Advanced Python Objects and Data Structures
185. Advanced Numbers
186. Advanced Strings
187. Advanced Sets
188. Advanced Dictionaries
189. Advanced Lists
190. Advanced Python Objects Assessment Test
191. Advanced Python Objects Test - Solutions
192. Bonus Material - Introduction to GUIs
193. Introduction to GUIs
194. Quick note about ipywidgets
195. Interact Functionality with GUIs
196. GUI Widget Basics
197. List of Possible Widgets
198. Widget Styling and Layouts
199. Example of what a Widget can do!
200. APPENDIX: OLDER PYTHON 2 MATERIAL

Just updated for 2023! It's time to become a modern and complete Python developer! Join a live online community of over 900,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Meta, + other top tech companies.

Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.

This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away)!

The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real life practice and be ready for the real world.

The topics covered in this course are:

- Programming Fundamentals

- Python Basics

- Python Fundamentals

- Data Structures

- Object Oriented Programming with Python

- Functional Programming with Python

- Lambdas

- Decorators

- Generators

- Testing in Python

- Debugging

- Error Handling

- Regular Expressions

- Comprehensions

- Modules

- Virtual Environments

- Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more)

- File Processing: Image, CSV, PDFs, Text + more

- Web Development with Python

- Machine Learning with Python

- Data Science with Python

- Automation with Python and Selenium

- Scripting with Python

- Web Scraping with Python and BeautifulSoup

- Image Detection

- Data Visualizations

- Kaggle, Pandas, NumPy, scikit-learn

- Email and SMS with Python

- Working with APIs (Twitter Bot, Password Checker, Translator)

By the end of this course, you will be a complete Python developer that can get hired at large companies. We are going to use Python to work with Email, Text Messages, CSV files, PDF files, Image Files, Data Visualizations, build our own machine learning model and perform Image detection. We are going to build a web scraper for HackerNews, build a Twitter bot,  build the most secure password checker and we will also build some automation tools using Selenium. But the best part? We will build an actual portfolio website using Python that your future employer and customers can contact you at. By the end, you will have a stack of projects you have built that you can show off to others.

Here’s the truth: Most courses teach you Python and do just that. They show you how to get started. But the thing is you don’t know where to go from there or how to build your own projects.

Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired.

Taught By:

Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. 

Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time.   Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. 

Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. 

Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.  

See you inside the course!

1. Introduction
2. Course Outline
3. Join Our Online Classroom!
4. Exercise: Meet Your Classmates & Instructor
5. ZTM Resources
6. Python Introduction
7. What Is A Programming Language
8. Python Interpreter
9. How To Run Python Code
10. Latest Version Of Python
11. Note: Jumping To Developer Environment
12. Our First Python Program
13. Monthly Coding Challenges, Free Resources and Guides
14. Python 2 vs Python 3
15. Why So Many Languages?
16. Exercise: How Does Python Work?
17. ZTM Python Cheat Sheet
18. Python Developer Monthly
19. Endorsements On LinkedIN
20. Python Basics
21. Learning Python
22. Python Data Types
23. How To Succeed
24. Numbers
25. Math Functions
26. DEVELOPER FUNDAMENTALS: I
27. Operator Precedence
28. Exercise: Operator Precedence
29. Optional: bin() and complex
30. Variables
31. Expressions vs Statements
32. Augmented Assignment Operator
33. Strings
34. String Concatenation
35. Type Conversion
36. Escape Sequences
37. Formatted Strings
38. String Indexes
39. Immutability
40. Built-In Functions + Methods
41. Booleans
42. Exercise: Type Conversion
43. DEVELOPER FUNDAMENTALS: II
44. Exercise: Password Checker
45. Lists
46. List Slicing
47. Matrix
48. List Methods
49. List Methods 2
50. List Methods 3
51. Common List Patterns
52. List Unpacking
53. None
54. Dictionaries
55. DEVELOPER FUNDAMENTALS: III
56. Dictionary Keys
57. Dictionary Methods
58. Dictionary Methods 2
59. Tuples
60. Tuples 2
61. Sets
62. Sets 2
63. Python Basics II
64. Breaking The Flow
65. Conditional Logic
66. Indentation In Python
67. Truthy vs Falsey
68. Ternary Operator
69. Short Circuiting
70. Logical Operators
71. Exercise: Logical Operators
72. is vs ==
73. For Loops
74. Iterables
75. Exercise: Tricky Counter
76. range()
77. enumerate()
78. While Loops
79. While Loops 2
80. break, continue, pass
81. Our First GUI
82. DEVELOPER FUNDAMENTALS: IV
83. Exercise: Find Duplicates
84. Functions
85. Parameters and Arguments
86. Default Parameters and Keyword Arguments
87. return
88. Exercise: Tesla
89. Methods vs Functions
90. Docstrings
91. Clean Code
92. *args and **kwargs
93. Exercise: Functions
94. Walrus Operator
95. Scope
96. Scope Rules
97. global Keyword
98. nonlocal Keyword
99. Why Do We Need Scope?
100. Exercise: Imposter Syndrome
101. Python Exam: Testing Your Understanding
102. Developer Environment
103. MAC - Python Install
104. WINDOWS - Python Install
105. WINDOWS - Get Terminal
106. LINUX - Python Install
107. Python Developer Tools
108. Sublime Text
109. Resources: Customizing Sublime Text 4
110. Quick Note: Upcoming Video
111. Optional: Terminal Commands
112. iTerm Setup
113. Using the Command Line/Terminal
114. Visual Studio Code
115. PyCharm
116. Code Formatting - PEP 8
117. Quick Note: Jupyter Notebooks
118. Jupyter Notebooks
119. Section Review
120. Advanced Python: Object Oriented Programming
121. Note on Upcoming Sections
122. What Is OOP?
123. What is OOP? Part 2
124. Creating Our Own Objects
125. Attributes and Methods
126. __init__
127. Exercise: Cats Everywhere
128. @classmethod and @staticmethod
129. Reviewing What We Know So Far
130. DEVELOPER FUNDAMENTALS: V
131. Encapsulation
132. Abstraction
133. Private vs Public Variables
134. Inheritance
135. Inheritance 2
136. Polymorphism
137. Exercise: Pets Everywhere
138. super()
139. Object Introspection
140. Dunder Methods
141. Exercise: Extending List
142. Multiple Inheritance
143. MRO - Method Resolution Order
144. Advanced Python: Functional Programming
145. Functional Programming
146. What Is Functional Programming?
147. Pure Functions
148. map()
149. filter()
150. zip()
151. reduce()
152. Exercises: map, filter, zip, reduce
153. Lambda Expressions
154. Exercise: Lambda Expressions
155. List Comprehensions
156. Set and Dictionary Comprehension
157. Exercise: Comprehensions
158. We Still Have More To Go!
159. Advanced Python: Decorators
160. Decorators
161. Higher Order Functions
162. Decorators 2
163. Decorators 3
164. Why Do We Need Decorators?
165. Exercise: @authenticated
166. Advanced Python: Error Handling
167. Errors in Python
168. Error Handling
169. Error Handling 2
170. Exercises: Error Handling
171. Error Handling 3
172. Advanced Python: Generators
173. Generators
174. Generators 2
175. Generators Performance
176. Under The Hood Of Generators
177. Exercise: Fibonacci Numbers
178. Python Exam: Testing Your Understanding
179. 100 Python Exercises
180. Modules In Python
181. Modules In Python
182. Packages In Python
183. Different Ways To Import
184. __name__
185. Python Built-in Modules
186. Python Built-in Modules 2
187. Exercise: Guessing Game
188. Python Package Index
189. pip install
190. Virtual Environments
191. Useful Modules
192. Interesting Tidbit: Python Dictionaries
193. Useful Modules 2
194. DEVELOPER FUNDAMENTALS: VI
195. Debugging In Python
196. How To Debug Code
197. File I/O
198. Working With Files In Python
199. Read, Write, Append
200. File Paths

Learn Python Programming - course is curated for Beginner to Master.

Every topic is covered in depth with practical examples.

100+ Challenges to make you expert in Problem Solving using Python

By the end of the course you will understand Python extremely well and will be able to build your own Python applications.

Resources are available for every lectures.

Answer Quiz at the end of major topics, to feel confident.

Do Projects using Tkinter, GUI Programming.

Use Laptop or PC to learn and practice Python.

IDLE is used for demonstrating the concepts and PyCharm is used for Developing Programs. You can use any IDE, of your choice.

Course Content:

• Fundamental Concepts and Features of Python

• Learn to use PyCharm, Jupyter Notebook and IDLE.

• Explore Numeric DataTypes

• Conditional and Loop Statements

• Explore Advance Datatypes - List, Tuple, Set, Dictionary

• Write Error-free Programs by Handling Exception

• Multithreaded Programs

• More and more about Functions

• Object-Oriented Programming

• File Handling and CSV Files

• Database Programming using Sqlite

• Modules

  • Data Structures

  • Date and Time

  • OS

  • Math

  • NumPy

• GUI Programming using Tkinter

• Do Projects in GUI Programming

You can always ask Questions in Q&A section. you can find Q&A section under each video lecture.

Every Lecture contains notes in Resources.

1. Introduction to Python
2. Instructor's Note
3. Types of Programming Languages
4. Compiler Vs Interpreter
5. How a Python Program Runs?
6. Python: Platform Independent
7. Programming Methodologies
8. Features of Python
9. Areas of Programming
10. Python Installation and Setup
11. Installing Python
12. Installing Pycharm
13. Installing VS Code
14. Installing and using Jupiter Notebook
15. Python Datatypes
16. Section Introduction
17. What are Variables ?
18. Python Dynamically Typed
19. Rules for declaring Variable Names
20. Python Data Types
21. Variables
22. Numeric Datatypes (int & float)
23. Numeric Datatype (bool & complex)
24. Literals or Constants
25. Integer Literals
26. Numeric type & Literals
27. Base Conversion
28. Type Conversion
29. Type and Base conversions
30. Operators and Expression
31. Section Introduction
32. Arithmetic Operators
33. Expressions
34. Arithmetic Operators and Expressions
35. Program using Expressions
36. Challenge : Area of triangle
37. Challenge : Kms to Miles
38. Challenge : Surface area of Cuboid
39. Challenge : Quadratic Equations
40. Arithmetic Assignment Operators
41. Arithmetic With All Datatypes
42. Arithmetic Assignment Operators
43. Conditional Statements
44. Section Introduction
45. Conditional Statements- if ...else
46. Logical Operator
47. Challenge : Eligibility for Casting a Vote
48. Challenge : Marks within Range
49. Challenge : Admin Access
50. Nested if and elif Statements
51. Challenge : Discount Amount
52. Challenge : Displaying Name of a Day
53. Challenge : Leap Year or Not
54. Detail Relational Operator
55. Detail Logical Operator
56. Bitwise Operator
57. Identity operators : is - is not
58. Conditional Statements
59. Loops - Control Flow
60. Section Introduction
61. Introduction to Loops
62. Challenge : Multiplication Table
63. Challenge : Palindrome or not
64. Challenge : Positive and Negative Numbers
65. Challenge : Decimal to Binary
66. Challenge : Guess Numbers from 1-10
67. Loops
68. Infinite Loop - break - continue - pass
69. else suite : else with while loop
70. What is for Loop ?
71. Challenge : Factorial of Given Number
72. Challenge : AP and Fibonacci Series
73. Challenge : Factors of a Number
74. break-continue-pass - with for loop
75. Infinite - break , pass , for loop
76. Nested Loops
77. Challenge : Prime Numbers from 1-100
78. Challenge : Draw Patterns
79. Match Case
80. String and its Methods
81. Section Introduction
82. Introduction to String
83. Operators on String
84. Relational Operators on Strings
85. Introduction to Strings
86. Introduction to String Methods
87. String Methods : find( ) and index( )
88. String Methods : Removing Spaces
89. String Methods : Changing Cases
90. String Methods : Inquiry Methods
91. String Methods : Inquiry Methods 2
92. String Methods : Starts with and Ends with
93. String Methods : Joining and Splitting
94. Challenge : Sorting Letters of a String
95. Challenge : Displaying Data
96. Challenge : Confirming Password
97. Challenge : Credit Card Details
98. Challenge : Domain Name from Email
99. Challenge : Converting String to Palindrome
100. Challenge : Day, Month , Year
101. Challenge : Anagram String
102. Challenge : Rearranging Case
103. Challenge : Removing Punctuations
104. String Methods
105. Formatted Printing
106. Section Introduction
107. ASCII Code
108. Unicode
109. Escape Sequence : Special Characters
110. Escape Sequence : Printable and Non Printable
111. Print Function
112. C Style Formatting
113. Printing String in Formatted Style
114. Escape Sequences and Printing
115. Regular Expression
116. Section Introduction
117. Quantifiers
118. Special Characters
119. Sequence Characters
120. Regular Expression
121. List
122. Section Introduction
123. Introduction to List
124. List : Indexing and Slicing
125. List: Concatenation and in not in
126. Visiting Elements in a List ( Iterations )
127. List Methods : Adding Elements
128. List Methods : Removing Elements
129. List Methods : Index & Sorting
130. List Comprehensions
131. Nested List
132. Challenge : Calculating Salary
133. Challenge : Removing Duplicates
134. Challenge : Concatenating List into Single Number
135. Challenge : Minimum Index in Sum of Two Lists
136. Challenge : Overlapping Elements in Two Lists
137. Challenge : Find the number of occurrences of each item.
138. Challenge : Telegram-Morse Code
139. Challenge : Adding Two Matrix
140. Challenge : Transpose of Matrix
141. Challenge : Word Starting with a Given Letter
142. List
143. Tuple
144. Section Introduction
145. Introduction to Tuple
146. Tuple Comprehensions and Methods
147. Tuple Operators
148. Tuple
149. Sets
150. Section Introduction
151. Introduction to Sets
152. Internal Working of Sets
153. Set in Mathematics
154. Set Operations in Mathematics
155. Set Methods : Union , Intersection, Difference etc.
156. Operators on Set
157. Set Methods : Adding and Deleting
158. Set Comprehensions
159. set
160. Dictionary
161. Section Introduction
162. Introduction to Dictionary
163. Dict : Comprehensions 1
164. Dict : Comprehensions 2
165. Looping over Dictionary
166. Dictionary Methods
167. Dictionary
168. Challenge : Birthday of a Person
169. Challenge : Finding Meanings in Dictionary
170. Challenge : Countries Names
171. Challenge : Roman to Integer Number
172. Challenge : Student Details
173. Functions
174. Section Introduction
175. What are Functions ?
176. How to Write a Function ?
177. Positional vs Keyword Arguments
178. Default Arguments
179. Mixed Positional Keyword Arguments
180. Functions
181. Variable Length Positional Arguments
182. Variable Length Keyword Arguments
183. Iterators and Generators
184. Global vs Local Variables
185. Recursive Function
186. Parameters to Functions
187. Built-in Functions #1
188. Build-in Functions #2
189. Build-in Functions #3
190. What are Module ?
191. Challenge : Difference Between Two Numbers
192. Challenge : Max of Three Numbers
193. Challenge : Printing Positional Message
194. Challenge : Planet Names
195. Challenge : Scores Ending with Zero
196. Challenge : Inverting a Dictionary
197. Challenge : Pangram Phrase
198. Challenge : Case Counting Letters
199. Challenge : Minimum Variable Number
200. Challenge : Pascal's Triangle

Welcome to the ultimate Python learning experience! The Python Mega Course is designed to take you from a complete beginner to a confident Python programmer in just 60 days. Whether you're starting from scratch or want to enhance your programming skills, this comprehensive course is your ticket to mastering Python and building real-world applications.

Course Benefits

• Comprehensive Learning: This course covers both the theoretical foundations and practical aspects of Python programming. You'll gain a deep understanding of Python concepts and apply them immediately to build 20 practical applications. From basic syntax to advanced topics like web development, data analysis, and machine learning, this course covers it all.

• Hands-on Experience: Learning by doing is the core principle of this course. You'll dive right into coding from day one, building real-world applications alongside the instructor. With each project, you'll strengthen your skills, experiment with different techniques, and develop the confidence to code independently.

• Portfolio Building: As you progress through the course, you'll create an impressive portfolio of 20 Python applications hosted on your GitHub account. This portfolio will serve as tangible evidence of your programming skills, showcasing your abilities to potential employers or clients.

• Multimodal Learning Approach: Our proven multimodal learning approach ensures that you grasp Python concepts thoroughly. You'll benefit from video lectures, hands-on exercises, code reviews, quizzes, and independent projects. This comprehensive approach caters to different learning styles and ensures you truly understand and retain what you learn.

• Career Preparation: Whether you're seeking a career change or aiming to level up in your current role, this course prepares you for success. You'll develop the skills needed to apply for junior developer positions confidently. Additionally, you'll learn important tools like Git and GitHub, essential for collaborating with other developers and showcasing your work to potential employers.

• Flexibility and Lifetime Access: We understand that everyone has different schedules and commitments. That's why this course is designed to fit seamlessly into your routine. Study at your own pace, whether it's dedicating a few hours every day or working through modules during weekends. Plus, you'll have lifetime access to all course materials, ensuring you can revisit and reinforce your learning whenever you need to.

Course Outline

• Python Basics: Master the fundamentals of Python programming, including variables, data types, conditionals, loops, functions, and more.

• Python Intermediate: Take your Python skills to the next level by exploring intermediate topics like file handling, error handling, decorators, generators, and context managers.

• Web Development: Learn how to build web applications using Python web frameworks like Flask and Django. Create interactive and dynamic websites that can handle user input, process data, and deliver personalized experiences.

• Data Analysis and Visualization: Discover the power of Python for data analysis and visualization. Dive into data science techniques, manipulate datasets, and create stunning visual representations of data using libraries like Pandas, Matplotlib, and Seaborn.

• Data Science and Machine Learning: Apply data science and machine learning techniques to extract insights from data and make predictions. Build a movie recommendation system that suggests personalized movie choices based on user preferences.

• Using and Building APIs: Unlock the potential of APIs as you learn to leverage existing APIs to access external data and services. Build your own APIs to create efficient and scalable applications that communicate seamlessly with other systems.

• Object-Oriented Programming: Gain a strong foundation in object-oriented programming principles and learn to design and implement software solutions using classes, objects, and inheritance.

• Building Python Packages: Master the art of packaging and distributing your Python code. Learn best practices for creating reusable modules, managing dependencies, and making your packages easily installable by others.

• SQL Databases and GUIs: Discover how to work with SQL databases using Python. Learn to execute queries, fetch data, and interact with databases, while also exploring graphical user interface (GUI) development for creating user-friendly applications.

• Web Development with Flask and Django: Dive into web development using two powerful Python frameworks, Flask and Django. Build dynamic web applications, handle user authentication, manage databases, and deploy your applications to the web.

Are you ready to unlock the full potential of Python and become a proficient programmer? Enroll in The Python Mega Course today and join thousands of students who have already transformed their lives with Python. Don't miss this opportunity to learn from a seasoned instructor, build an impressive portfolio, and take your programming skills to new heights. Start your Python journey now and embrace a future filled with endless possibilities!

1. MODULE 1️⃣: PYTHON BASICS (Day 1 - 20) ↓
2. Welcome to Module 1
3. Day 1- App 1: Build a To-do App with Python (Variables, Lists, and Print)
4. ▶️ The Four Types of Computer Programs
5. ▶️ Today's Goals #print #variables #functions #lists
6. ▶️ Installing Python and PyCharm
7. PyCharm Professional Edition
8. ▶️ Create and Run Your First Python Program #print #strings
9. ▶️ Getting User Input #input #variables
10. ▶️ Storing User Input #lists
11. ⚛️ Coding Experiments
12. ⭐️ Bonus Example
13. ☑️ Quiz of the Day
14. Coding Exercise 1
15. Coding Exercise 2
16. Coding Exercise 3
17. ❗️Good to Know #fixing-bugs
18. ✔️ Bug-Fixing Exercises
19. ⚙️ Programming Tool/Concept of the Day: The Python Console
20. ❓ FAQ
21. ◼️ Cheat Sheet
22. ❗️Congratulations!
23. Day 2 - App 1: Build a To-do App with Python (Methods and While-Loop)
24. ⬅️ Recap of Yesterday
25. ▶️ Getting User Input Repeatedly #while-loop
26. ❗️ Good to Know #pycharm-theme
27. ▶️ Storing User Input Repeatedly #methods
28. ⚛️ Coding Experiments
29. ⭐️ Bonus Example
30. ☑️ Quiz of the Day
31. Coding Exercise 1
32. Coding Exercise 2
33. Coding Exercise 3
34. Coding Exercise 4
35. ✔️ Bug-Fixing Exercises
36. ⚙️ Programming Tool/Concept of the Day: How to Find the Code You Need
37. ❓ FAQ
38. ◼️ Cheat Sheet
39. Day 3 - App 1: Build a To-do App with Python (Match-Case and For-Loops)
40. ⬅️ Recap of Yesterday
41. ▶️ Todo List View and Program Exit #match-case
42. ▶️ Improving the Program Output #for-loops
43. ❗️Good to Know #discord
44. ⚛️ Code Experiments
45. ⭐️ Bonus Example
46. ☑️ Quiz of the Day
47. Coding Exercise 1
48. Coding Exercise 2
49. Coding Exercise 3
50. ✔️ Bug-Fixing Exercises
51. ⚙️ Programming Tool/Concept of the Day: What Surprisingly is Python
52. ❓FAQ
53. ◼️ Cheat Sheet
54. Day 4 - App 1: Build a To-do App with Python (List Indexing and Tuples)
55. ⬅️ Recap of Yesterday
56. ▶️ Add an "Edit" Feature #type-conversion #list-indexing
57. ⚛️ Coding Experiments
58. ⭐️ Bonus Example #tuples
59. ☑️ Quiz of the Day
60. Coding Exercise 1
61. Coding Exercise 2
62. Coding Exercise 3
63. Coding Exercise 4
64. Coding Exercise 5
65. Coding Exercise 6
66. Coding Exercise 7
67. ✔️ Bug-Fixing Exercises
68. ⚙️ Programming Tool/Concep of the Day: Text Editors, Code Editors, IDE, PyCharm
69. ❓ FAQ
70. ◼️ Cheat Sheet
71. Day 5 - App 1: Build a To-do App with Python (Enumeration and f-strings)
72. ⬅️ Recap of Yesterday
73. ▶️ Numbered Todos #enumerate
74. ▶️ Improving the Program Output ▶️ #f-strings #formatting-strings
75. ▶️ Add a "Complete Todo" Feature
76. ❗️Good to Know #Q&A
77. ⚛️ Code Experiments
78. ⭐️ Bonus Example
79. ☑️ Quiz of the Day
80. Coding Exercise 1
81. Coding Exercise 2
82. Coding Exercise 3
83. Coding Exercise 4
84. Coding Exercise 5
85. ✔️ Bug-Fixing Exercises
86. ⚙️ Programming Tool/Concept of the Day: How to Ask Good Programming Questions
87. ❓ FAQ
88. ◼️ Cheat Sheet
89. Day 6 -App 1: Build a To-do App with Python (Working with Text Files)
90. ⬅️ Recap of Yesterday
91. ▶️ Storing Items in Text Files #text-files #read #write #writelines #readlines
92. ▶️ Getting Todo Items from Text Files #read-text-files
93. ▶️ How Data Types are Created #types
94. ⚛️ Code Experiments
95. ⭐️ Bonus Example
96. ☑️ Quiz
97. Coding Exercise 1
98. Coding Exercise 2
99. Coding Exercise 3
100. Coding Exercise 4
101. Coding Exercise 5
102. Coding Exercise 6
103. Coding Exercise 7
104. ✔️ Bug-Fixing Exercises
105. ⚙️ Programming Tool/Concept of the Day: Online Python Communities
106. ❓ FAQ
107. ◼️ Cheat Sheet
108. Day 7 -App 1: Build a To-do App with Python (List Comprehension and Comments)
109. ⬅️ Recap of Yesterday
110. ▶️ Improving the Program Output #list-comprehensions
111. ⚛️ Code Experiments
112. ⭐️ Bonus Example
113. ☑️ Quiz
114. Coding Exercise 1
115. Coding Exercise 2
116. Coding Exercise 3
117. Coding Exercise 4
118. ✔️ Bug-Fixing Exercises
119. ⚙️ Programming Tool/Concept of the Day: Usages of Python in Real Life
120. ❓ FAQ
121. ◼️ Cheat Sheet
122. Day 8 -App 1: Build a To-do App with Python (With-Context Manager)
123. ⬅️ Recap of Yesterday
124. ▶️ Optimising the Code #with-context-manager
125. ▶️ Editing and Completing Todo Items #with-context-manager
126. ⚛️ Code Experiments
127. ⭐️ Bonus Example
128. ☑️ Quiz
129. ✔️ Bug-Fixing Exercises
130. Programming Tool/Concept of the Day: Steps of Creating and Maintaining a Program
131. ❓ FAQ
132. ◼️ Cheat Sheet
133. Day 9, App 1: Build a To-do App with Python (If-Elif-Else and Dictionaries)
134. ⬅️ Recap of Yesterday
135. ▶️ Improving the "Add" Feature #if-conditionals #slicing
136. ▶️ Optimising the Program #elif #else
137. ⚛️ Code Experiments
138. ⭐️ Bonus Example
139. ☑️ Quiz
140. Coding Exercise 1
141. Coding Exercise 2
142. Coding Exercise 3
143. Coding Exercise 4
144. Coding Exercise 5
145. Coding Exercise 6
146. Coding Exercise 7
147. ✔️ Bug-Fixing Exercises
148. ⚙️ Programming Tool/Concept of the Day: High vs. Low Level Programming Languages
149. ❓ FAQ
150. Cheat Sheet
151. Day 10 App 1: Build a To-do App with Python (Robust Code with Try-Except)
152. ⬅️ Recap of Yesterday
153. ▶️ Fixing Two Bugs in the Program #bugs
154. ▶️ Anticipating Program Errors #try-except #continue
155. ⚛️ Code Experiments
156. ⭐️ Bonus Example
157. ☑️ Quiz
158. Coding Exercise 1
159. Coding Exercise 2
160. Coding Exercise 3
161. ✔️ Bug-Fixing Exercises
162. ⚙️ Programming Tool/Concept of the Day: Cloud IDEs
163. ❓ FAQ
164. ◼️ Cheat Sheet
165. Day 11 - App 1: Build a To-do App with Python (Using Custom Functions)
166. ⬅️ Recap of Yesterday
167. ▶️ Avoiding Repetitive Code #custom-functions
168. ⚛️ Code Experiments
169. ⭐️ Bonus Example
170. ☑️ Quiz
171. Coding Exercise 1
172. Coding Exercise 2
173. ✔️ Bug-Fixing Exercises
174. ⚙️ Programming Tool/Concept of the Day: Python vs. Other Languages
175. ❓ FAQ
176. ◼️ Cheat Sheet
177. Day 12 - App 1: Build a To-do App with Python (Multiple Arguments)
178. ⬅️ Recap of Yesterday
179. ▶️ Optimising the Code #function-arguments
180. ▶️ Optimising the Code Further #multiple-arguments
181. ⚛️ Code Experiments
182. ⭐️ Bonus Example
183. ☑️ Quiz
184. Coding Exercise 1
185. Coding Exercise 2
186. Coding Exercise 3
187. Coding Exercise 4
188. Coding Exercise 5
189. Coding Exercise 6
190. ✔️ Bug-Fixing Exercises
191. ⚙️ Programming Tool/Concept of the Day: The Learn-to-Program Curve
192. ❓ FAQ
193. ◼️ Cheat Sheet
194. Day 13 - App 1: Build a To-do App with Python (Utilizing Default Args)
195. ⬅️ Recap of Yesterday
196. ▶️ Optimising the Code #default-arguments
197. ▶️ Documenting the Code #doc-strings
198. ⚛️ Code Experiments
199. ⭐️ Bonus Example
200. ☑️ Quiz