UDEMY.The.Complete.Python.Bootcamp.From.Zero.to.Hero.in.Python.2025.BOOKWARE-MiMiR

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eBooks/Audiobooks

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MiMiR

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8,13 GB

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46

Date

2026-02-20

NFO

Mímir, Keeper of the Well of Wisdom
  
  The Complete Python Bootcamp From Zero to Hero in Python

  https://www.udemy.com/course/complete-python-bootcamp/

  Year         : 2025
  Language     : English
  Level        : All Levels
  Category     : Development
  Subcategory  : Programming Languages
  Duration     : 22h 10m
  Lectures     : 170
  Rating       : 4.6/5 (556,614 reviews)
  Students     : 2,131,317

  INSTRUCTOR(S)


  HEADLINE
    Learn Python like a Professional  Start from the basics and go
    all the way to creating your own applications and games


  WHAT YOU'LL LEARN
  * You will learn how to leverage the power of Python to solve
    tasks.
  * You will build games and programs that use Python libraries.
  * You will be able to use Python for your own work problems or
    personal projects.
  * You will create a portfolio of Python based projects you can
    share.
  * Learn to use Python professionally, learning both Python 2
    and
    Python 3!
  * Create games with Python, like Tic Tac Toe and Blackjack!
  * Learn advanced Python features, like the collections module
    and how to work with timestamps!
  * Learn to use Object Oriented Programming with classes!
  * Understand complex topics, like decorators.
  * Understand how to use both the Jupyter Notebook and create
    .py
    files
  * Get an understanding of how to create GUIs in the Jupyter
    Notebook system!
  * Build a complete understanding of Python from the ground up!


  REQUIREMENTS
  * Access to a computer with an internet connection.


  WHO IS THIS COURSE FOR
  * Beginners who have never programmed before.
  * Programmers switching languages to Python.
  * Intermediate Python programmers who want to level up their
    skills!


  DESCRIPTION
  Become a Python Programmer and learn one of employer's most
  requested skills of 2023! This is the most comprehensive, yet
  straight-forward, course for the Python programming language
    on
  Udemy! Whether you have never programmed before, already know
  basic syntax, or want to learn about the advanced features of
  Python, this course is for you! In this course we will teach
    you
  Python 3. 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!


  COURSE CONTENT

  Chapter 1: Course Overview
    1. Auto-Welcome Message
    2. Course Introduction
    3. Course Curriculum Overview
    4. Why Python?
    5. Course FAQs

  Chapter 2: Python Setup
    6. Command Line Basics
    7. Import Note on the Installation Lectures
    8. Installing Python (Step by Step)
    9. Installing Python on Windows and updated Jupyter Notebook
       Introduction
    10. Installing Python on Mac and updated Jupyter Notebook
        Introduction
    11. Running Python Code
    12. Quick Note on how to download the Course Material
    13. Getting the Notebooks and the Course Material
    14. Git and Github Overview (Optional)
    15. Quick Note on the Github Documentation

  Chapter 3: Python Object and Data Structure Basics
    16. Introduction to Python Data Types
    17. Python Numbers
    18. Numbers - FAQ
    19. Variable Assignments
    20. Introduction to Strings
    21. Indexing and Slicing with Strings
    22. String Properties and Methods
    23. Strings -FAQ
    24. Print Formatting with Strings
    25. Print Formatting FAQs
    26. Lists in Python
    27. Lists - FAQ
    28. Dictionaries in Python
    29. Dictionaries - FAQ
    30. Tuples with Python
    31. Sets in Python
    32. Booleans in Python
    33. I/O with Basic Files in Python
    34. Resources for More Basic Practice
    35. Python Objects and Data Structures Assessment Test
        Overview
    36. Python Objects and Data Structures Assessment Test
        Solutions

  Chapter 4: Python Comparison Operators
    37. Comparison Operators in Python
    38. Chaining Comparison Operators in Python with Logical
        Operators

  Chapter 5: Python Statements
    39. If Elif and Else Statements in Python
    40. For Loops in Python
    41. While Loops in Python
    42. Useful Operators in Python
    43. List Comprehensions in Python
    44. Python Statements Test Overview
    45. Python Statements Test Solutions

  Chapter 6: Methods and Functions
    46. Methods and the Python Documentation
    47. Quick Note on Python Versions
    48. Introduction to Functions
    49. def Keyword
    50. Basics of Python Functions
    51. Logic with Python Functions
    52. Tuple Unpacking with Python Functions
    53. Interactions between Python Functions
    54. Overview of Quick Function Exercises #1-10
    55. *args and **kwargs in Python
    56. Function Practice Exercises - Overview
    57. Function Practice Exercises - Solutions
    58. Function Practice - Solutions Level One
    59. Function Practice - Solutions Level Two
    60. Function Exercise Solutions - Challenge Problem
    61. Lambda Expressions, Map, and Filter Functions
    62. Nested Statements and Scope
    63. Methods and Functions Homework Overview
    64. Methods and Functions Homework - Solutions

  Chapter 7: Milestone Project - 1
    65. Introduction to Warm Up Project Exercises
    66. Displaying Information
    67. Accepting User Input
    68. Validating User Input
    69. Simple User Interaction
    70. First Python Milestone Project Overview
    71. Milestone Project Help
    72. Solution Overview for MileStone Project 1 - Part One
    73. Solution Overview for MileStone Project 1 - Part Two

  Chapter 8: Object Oriented Programming
    74. Object Oriented Programming - Introduction
    75. Object Oriented Programming - Attributes and Class
        Keyword
    76. Object Oriented Programming - Class Object Attributes
        and Methods
    77. Object Oriented Programming - Inheritance and
        Polymorphism
    78. Object Oriented Programming - Special (Magic/Dunder)
        Methods
    79. Object Oriented Programming - Homework
    80. Object Oriented Programming - Homework Solutions
    81. Object Oriented Programming - Challenge Overview
    82. Object Oriented Programming - Challenge Solution

  Chapter 9: Modules and Packages
    83. Quick note on the PyPi website
    84. Pip Install and PyPi
    85. Modules and Packages
    86. __name__ and "__main__"

  Chapter 10: Errors and Exceptions Handling
    87. Errors and Exception Handling
    88. Errors and Exceptions Homework
    89. Errors and Exception Homework - Solutions
    90. Update for Pylint Users
    91. Pylint Overview
    92. Running tests with the Unittest Library

  Chapter 11: Milestone Project - 2
    93. Introduction to Milestone Project 2 Section Warmup
    94. Card Class
    95. Deck Class
    96. Player Class
    97. Game Logic - Part One
    98. Game Logic - Part Two
    99. Game Logic - Part Three
    100. Milestone Project 2 Overview
    101. Solution Walkthrough - Card and Deck classes
    102. Solution Walkthrough - Hand and Chip Classes
    103. Solution Walkthrough - Functions for Game Play
    104. Solutions Walkthrough - Final Gameplay Script

  Chapter 12: Python Decorators
    105. Decorators with Python Overview
    106. Decorators Homework

  Chapter 13: Python Generators
    107. Generators with Python
    108. Generators Homework Overview
    109. Generators Homework Solutions

  Chapter 14: Advanced Python Modules
    110. Introduction to Advanced Python Modules
    111. Python Collections Module
    112. Opening and Reading Files and Folders (Python OS
         Module)
    113. Python Datetime Module
    114. Python Math and Random Modules
    115. Python Debugger
    116. Python Regular Expressions Part One
    117. Python Regular Expressions Part Two
    118. Python Regular Expressions Part Three
    119. Timing Your Python Code
    120. Quick Note on Paths
    121. Zipping and Unzipping files with Python
    122. Advanced Python Module Puzzle - Overview
    123. Advanced Python Module Puzzle - Solution

  Chapter 15: Web Scraping with Python
    124. Introduction to Web Scraping
    125. Setting Up Web Scraping Libraries
    126. Python Web Scraping - Grabbing a Title
    127. Important Note on Wikipedia Classes
    128. Python Web Scraping - Grabbing a Class
    129. Important Note on how to grab an Image
    130. Python Web Scraping - Grabbing an Image
    131. Python Web Scraping - Book Examples Part One
    132. Python Web Scraping - Book Examples Part Two
    133. Python Web Scraping - Exercise Overview
    134. Python Web Scraping - Exercise Solutions

  Chapter 16: Working with Images with Python
    135. Introduction to Images with Python
    136. Quick Note on the Example Images
    137. Working with Images with Python
    138. Python Image Exercises - Overview
    139. Python Image Exercises - Solution

  Chapter 17: Working with PDFs and Spreadsheet CSV Files
    140. Introduction to PDFs and Spreadsheets with Python
    141. Quick Note on the UnicodeDecodeError
    142. Working with CSV Files in Python
    143. Import Note on PyPDF2
    144. Working with PDF Files in Python
    145. PDFs and Spreadsheets Python Puzzle Exercise
    146. PDFs and Spreadsheets Python Puzzle Exercise -
         Solutions

  Chapter 18: Emails with Python
    147. Introduction to Emails with Python
    148. Sending Emails with Python
    149. Receiving Emails with Python

  Chapter 19: Final Capstone Python Project
    150. Final Capstone Project

  Chapter 20: Advanced Python Objects and Data Structures
    151. Advanced Numbers
    152. Advanced Strings
    153. Advanced Sets
    154. Advanced Dictionaries
    155. Advanced Lists
    156. Advanced Python Objects Assessment Test
    157. Advanced Python Objects Test - Solutions

  Chapter 21: Bonus Material - Introduction to GUIs
    158. Quick Note if your Widgets do not load
    159. Introduction to GUIs
    160. Quick note about ipywidgets
    161. Interact Functionality with GUIs
    162. GUI Widget Basics
    163. List of Possible Widgets
    164. Widget Styling and Layouts
    165. Example of what a Widget can do!

  Chapter 22: APPENDIX: OLDER PYTHON 2 MATERIAL
    166. NOTE ABOUT THIS SECTION
    167. Objects and Data Structures Assessment - Solutions
    168. Comparison Operators
    169. Chained Comparison Operators

  Chapter 23: BONUS SECTION: THANK YOU!
    170. BONUS LECTURE


  DATES
  Published    : 2015-10-12
  Last Updated : 2025-08-07

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