The Complete Python Programming

Mosh Hamedani, Software Engineer

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169 Lessons (11h 9m)
    • 1. What is Python

      2:43
    • 2. Installing Python

      2:20
    • 3. Code Editors

      0:58
    • 4. Your First Python Program

      2:06
    • 5. Python Extension

      2:52
    • 6. Linting Python Code

      4:14
    • 7. Formatting Python Code

      3:54
    • 8. Running Python Code

      2:59
    • 9. Python Implementations

      2:28
    • 10. How Python Code is Executed

      2:46
    • 11. Variables

      2:04
    • 12. Dynamic Typing

      2:36
    • 13. Type Annotation

      1:50
    • 14. Mutable and Immutable Types

      2:58
    • 15. Strings

      4:11
    • 16. Escape Sequences

      3:19
    • 17. Formatted Strings

      2:08
    • 18. Useful String Methods

      3:20
    • 19. Numbers

      2:09
    • 20. Arithmetic Operators

      1:47
    • 21. Working with Numbers

      2:37
    • 22. Type Conversion

      4:22
    • 23. Conditional Statements

      3:24
    • 24. Logical Operators

      3:06
    • 25. Ternary Operator

      1:17
    • 26. For Loops

      4:08
    • 27. For..Else

      2:38
    • 28. While Loops

      1:47
    • 29. Functions

      4:41
    • 30. Arguments - xargs

      2:27
    • 31. Arguments - xxargs

      2:04
    • 32. Scope

      3:37
    • 33. Debugging

      3:32
    • 34. VSCode Coding Tricks - Windows

      2:21
    • 35. VSCode Coding Tricks - Mac

      1:49
    • 36. Exercise

      1:29
    • 37. Solution

      4:34
    • 38. Lists

      3:54
    • 39. Accessing Items

      3:13
    • 40. List Unpacking

      3:51
    • 41. Looping over Lists

      2:54
    • 42. Adding or Removing Items

      2:56
    • 43. Finding Items

      1:28
    • 44. Sorting Lists

      4:35
    • 45. Lambda Functions

      1:49
    • 46. Map Function

      3:25
    • 47. Filter Function

      2:05
    • 48. List Comprehensions

      3:10
    • 49. Zip Function

      1:49
    • 50. Stacks

      4:24
    • 51. Queues

      2:50
    • 52. Tuples

      4:02
    • 53. Swapping Variables

      2:37
    • 54. Arrays

      3:11
    • 55. Sets

      4:03
    • 56. Dictionaries

      5:24
    • 57. Dictionary Comprehensions

      3:19
    • 58. Generator Expressions

      3:51
    • 59. Unpacking Operator

      4:05
    • 60. Exercise

      6:14
    • 61. Exceptions

      2:16
    • 62. Handling Exceptions

      4:10
    • 63. Handling Different Exceptions

      3:05
    • 64. Cleaning Up

      1:57
    • 65. The With Statement

      3:07
    • 66. Raising Exceptions

      3:21
    • 67. Cost of Raising Exceptions

      4:41
    • 68. Classes

      2:35
    • 69. Creating Classes

      3:45
    • 70. Constructors

      4:37
    • 71. Class vs Instance Attributes

      3:58
    • 72. Class vs Instance Methods

      4:05
    • 73. Magic Methods

      3:13
    • 74. Comparing Objects

      3:11
    • 75. Performing Arithmetic Operations

      1:31
    • 76. Making Custom Containers

      6:55
    • 77. Private Members

      3:40
    • 78. Properties

      7:30
    • 79. Inheritance

      4:23
    • 80. The Object Class

      2:23
    • 81. Method Overriding

      3:14
    • 82. Multi-level Inheritance

      2:42
    • 83. Multiple Inheritance

      3:22
    • 84. A Good Example of Inheritance

      4:31
    • 85. Abstract Base Classes

      4:50
    • 86. Polymorphism

      3:56
    • 87. Duck Typing

      2:50
    • 88. Extending Built in Types

      2:26
    • 89. Data Classes

      4:36
    • 90. Creating Modules

      4:16
    • 91. Compiled Python Files

      2:19
    • 92. Module Search Path

      1:36
    • 93. Packages

      2:27
    • 94. Sub-packages

      1:01
    • 95. Intra-package References

      1:36
    • 96. The dir Function

      1:39
    • 97. Executing Modules as Scripts

      2:55
    • 98. Python Standard Library

      0:51
    • 99. Working With Paths

      4:48
    • 100. Working with Directories

      4:14
    • 101. Working with Files

      3:59
    • 102. Working with Zip Files

      3:15
    • 103. Working with CSV Files

      4:50
    • 104. Working with JSON Files

      3:58
    • 105. Working with a SQLite Database

      9:10
    • 106. Working with Timestamps

      2:24
    • 107. Working with DateTimes

      5:05
    • 108. Working with Time Deltas

      2:41
    • 109. Generating Random Values

      4:09
    • 110. Opening the Browser

      1:12
    • 111. Sending Emails

      6:48
    • 112. Templates

      4:53
    • 113. Command-line Arguments

      1:54
    • 114. Running External Programs

      8:06
    • 115. Pypi

      1:49
    • 116. Pip

      6:23
    • 117. Virtual Environments

      4:04
    • 118. Pipenv

      3:40
    • 119. Virtual Environments in VSCode

      3:49
    • 120. Pipfile

      4:48
    • 121. Managing Dependencies

      3:28
    • 122. Publishing Packages

      8:23
    • 123. Docstrings

      5:48
    • 124. Pydoc

      4:06
    • 125. Popular Python Packages

      1:35
    • 126. What are APIs

      2:36
    • 127. Yelp API

      2:51
    • 128. Searching for Businesses

      9:54
    • 129. Hiding API Keys

      2:05
    • 130. Sending Text Messages

      6:02
    • 131. Web Scraping

      9:06
    • 132. Browser Automation

      11:28
    • 133. Working with PDFs

      6:18
    • 134. Working with Excel Spreadsheets

      9:52
    • 135. Command Query Separation Principle

      4:40
    • 136. NumPy

      9:06
    • 137. Building Web Applications with Django

      1:36
    • 138. Your First Django Project

      4:11
    • 139. Your First App

      3:41
    • 140. Views

      7:59
    • 141. Models

      4:57
    • 142. Migrations

      8:00
    • 143. Changing the Models

      5:38
    • 144. Admin

      4:29
    • 145. Customizing the Admin

      6:56
    • 146. Database Abstraction API

      3:52
    • 147. Templates

      10:23
    • 148. Adding Bootstrap

      4:19
    • 149. Customizing the Layout

      2:24
    • 150. Sharing a Template Across Multiple Apps

      3:48
    • 151. Url Parameters

      4:37
    • 152. Getting a Single Object

      3:48
    • 153. Raising 404 Errors

      3:51
    • 154. Referencing Urls

      3:47
    • 155. Creating APIs

      9:26
    • 156. Adding the Homepage

      4:27
    • 157. Getting Ready to Deploy

      9:44
    • 158. Deployment

      7:59
    • 159. What is Machine Learning

      1:58
    • 160. Machine Learning in Action

      2:47
    • 161. Libraries and Tools

      4:54
    • 162. Importing a Data Set

      6:21
    • 163. Jupyter Shortcuts

      5:26
    • 164. A Real Machine Learning Problem

      3:17
    • 165. Preparing the Data

      3:05
    • 166. Learning and Predicting

      4:04
    • 167. Calculating the Accuracy

      6:21
    • 168. Persisting Models

      3:14
    • 169. Visualizing a Decision Tree

      6:26
86 students are watching this class

About This Class

Stop wasting time on confusing and out-of-date blog posts, tutorials and YouTube videos.

What is Python?

In a nutshell: Python = Powerful & Versatile

Mathematicians, scientists and engineers love Python. Why? Because it makes complex calculations and iterative and repetitive tasks really straightforward to code and execute.

Developers love it because it’s simple, yet powerful, and works across platforms.


Why Learn Python?

  • Ideal first programming language to learn
  • Boost your existing skills - growing demand for Python developers
  • Easier to master than languages such as C, C++, JavaScript, etc.
  • Universities teach it – both in computer science and other courses
  • Big companies use it – Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc.
  • Runs cross-platform – Python apps work on Windows, Mac, Linux

Earn $116k per year on average with Python skills

There’s a shortage of Python developers and that means high salaries.

Python is used in most AI & Machine Learning operations. The vast majority of data scientists and analysts swear by it. It’s also gaining popularity with app developers, so there are literally thousands of job posts, and not enough skilled people to fill them.

Course that Leads You to Python Perfection

  • No-nonsense Python – Some other courses blind you with complexity. Mosh believes simple & pretty code is best and that’s what you learn in this course.
  • Code apps super-fast – Get hands-on right away. Python lets you build apps faster & with fewer lines of code than other languages.
  • Get your geek-on! – Get Python pro tips and tricks. Learn about all the modern Python tools that professional developers are using.
  • Create command-line utilities – Python is perfect for command-line interfaces. Simple, useful and powerful. No wonder it’s so popular.
  • Make scripts to save time & effort – Sick of repetitive, boring tasks? No problem. Learn how to use Python to automate all that.

What's Included

  • Programming Fundamentals
  • Data Structures
  • Object-oriented Programming (OOP)
  • Writing Reusable Code
  • Error Handling
  • Automation
  • Web Scraping
  • Consuming APIs
  • Automated Testing with Selenium
  • Consuming 3rd-party Packages
  • Publishing Python Packages
  • Working with Files and Directories
  • Working with CSV and JSON Files
  • Working with Excel Spreadsheets
  • Working with PDFs
  • Working with ZIP Files
  • Sending Emails and Text Messages
  • Introduction to Building Web Apps

Prerequisites

This course assumes you know nothing about Python or any other programming languages. Go from complete beginner to expert, with plenty of hands-on exercises along the way.