CF

The Complete Python Programming Course for Beginners

11h 56m 40s
English
Paid

The Complete Python Programming Course for Beginners is a 181-lesson 11 hours 56 minutes self-paced course by Mosh Hamedani (Code with Mosh). Python is the most popular programming language in the world.

Course facts

Lessons
181
Duration
11 hours 56 minutes
Level
All levels
Language
English
Updated
Instructor
Mosh Hamedani (Code with Mosh)
Price
Premium

Python is the most popular programming language in the world. It's used by big companies like Google, Facebook, Dropbox, Reddit, Spotify, Quora, etc. Mathematicians, scientists, engineers and developers love it because of its simple and elegant syntax. It's the #1 language for AI and machine learning, and the ideal language to learn for beginners. Much easier than C++ or JavaScript! This course teaches you everything Python has to offer from the basics to more advanced topics.

A perfect mix of theory and practice, packed with real-world examples, exercises and step-by-step solutions - free of "fluff" and lengthy description!

By the end of this course…

You’ll be able to:

  • Write Python code with confidence
  • Get ready to learn web development and machine learning with Python
  • Build command-line utilities
  • Automate boring, repetitive tasks
  • Write clean code like a pro

What You'l Learn...

Along with all the programming fundamentals, you’ll learn how to...

  • Use essential Python data structures
  • Use classes and modules
  • Apply object-oriented programming principles
  • Work with exceptions
  • Build web scraping tools
  • Use 3rd-party Python packages and publish your own
  • Work with files and directories
  • Work with CSV, JSON, Excel spreadsheets, PDFs, ZIP files, etc
  • Send emails and text messages
  • Automate UI testing with Selenium
  • Call backend APIs
  • Basics of building web apps with Python and Django
  • Use Python in machine learning and data science projects
  • And much, much more!

Who teaches The Complete Python Programming Course for Beginners? Mosh Hamedani (Code with Mosh)

Mosh Hamedani (Code with Mosh) thumbnail

Mosh Hamedani is the founder of Code with Mosh, one of the highest-volume independent online instructors in software education. He has been publishing courses continuously since the early Udemy era and has taught over a million students across his Udemy catalog and his standalone Code with Mosh platform. His teaching style is patient, rigorously structured, and deliberately beginner-tolerant — the courses are widely cited as some of the most accessible introductions to their respective topics.

The Code with Mosh catalog covers an unusually wide span: web development with HTML / CSS / JavaScript / React / Angular / Node.js, Python and Django, C# and .NET, mobile development with React Native and Flutter, SQL and database fundamentals, and the algorithm / data-structure interview prep tracks. Few independent instructors maintain this much breadth at consistent quality.

The CourseFlix listing under this source carries over 35 Code with Mosh courses spanning that range. Material is paid; Code with Mosh runs on per-course pricing on the original platform. Courses are aimed primarily at developers picking up a new technology from a clean start through to working production proficiency.

What lessons are included in The Complete Python Programming Course for Beginners?

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#1: 1- What is Python
All Course Lessons (181)
#Lesson TitleDurationAccess
1
1- What is Python Demo
03:22
2
2- Installing Python
01:53
3
3- Python Interpreter
01:56
4
4- Code Editors
01:20
5
5- Your First Python Program
03:37
6
6- Python Extension
02:53
7
7- Linting Python Code
04:15
8
8- Formatting Python Code
03:55
9
9- Running Python Code
03:00
10
10- Python Implementations
02:29
11
11- How Python Code is Executed
02:47
12
12- Quiz
01:38
13
1- Variables
03:05
14
2- Variable Names
03:04
15
3- Strings
05:31
16
4- Escape Sequences
02:41
17
5- Formatted Strings
02:09
18
6- String Methods
05:55
19
7- Numbers
02:47
20
8- Working with Numbers
02:10
21
9- Type Conversion
05:05
22
10- Quiz
02:44
23
1- Comparison Operators
02:05
24
2- Conditional Statements
04:10
25
3- Ternary Operator
02:10
26
4- Logical Operators
04:03
27
5- Short-circuit Evaluation
02:07
28
6- Chaining Comparison Operators
01:23
29
7- Quiz
01:44
30
8- For Loops
03:39
31
9- For..Else
02:47
32
10- Nested Loops
02:45
33
11- Iterables
03:09
34
12- While Loops
05:00
35
13- Infinite Loops
01:38
36
14- Exercise
02:06
37
1- Defining Functions
02:25
38
2- Arguments
02:21
39
3- Types of Functions
04:03
40
4- Keyword Arguments
02:01
41
5- Default Arguments
01:36
42
6- xargs
04:16
43
7- xxargs
02:21
44
8- Scope
05:10
45
9- Debugging
06:51
46
10- VSCode Coding Tricks - Windows
02:22
47
11- VSCode Coding Tricks - Mac
01:50
48
12- Exercise
01:30
49
13- Solution
04:42
50
1- Lists
03:55
51
2- Accessing Items
03:14
52
3- List Unpacking
03:52
53
4- Looping over Lists
02:55
54
5- Adding or Removing Items
02:57
55
6- Finding Items
01:29
56
7- Sorting Lists
04:36
57
8- Lambda Functions
01:50
58
9- Map Function
03:26
59
10- Filter Function
02:06
60
11- List Comprehensions
03:11
61
12- Zip Function
01:50
62
13- Stacks
04:25
63
14- Queues
02:51
64
15- Tuples
04:03
65
16- Swapping Variables
02:38
66
17- Arrays
03:12
67
18- Sets
04:04
68
19- Dictionaries
05:25
69
20- Dictionary Comprehensions
03:20
70
21- Generator Expressions
03:52
71
22- Unpacking Operator
04:06
72
23- Exercise
06:22
73
1- Exceptions
02:17
74
2- Handling Exceptions
04:11
75
3- Handling Different Exceptions
03:06
76
4- Cleaning Up
01:58
77
5- The With Statement
03:08
78
6- Raising Exceptions
03:22
79
7- Cost of Raising Exceptions
04:42
80
1- Classes
02:36
81
2- Creating Classes
03:46
82
3- Constructors
04:38
83
4- Class vs Instance Attributes
03:59
84
5- Class vs Instance Methods
04:06
85
6- Magic Methods
03:14
86
7- Comparing Objects
03:12
87
8- Performing Arithmetic Operations
01:32
88
9- Making Custom Containers
06:56
89
10- Private Members
03:41
90
11- Properties
07:31
91
12- Inheritance
04:24
92
13- The Object Class
02:24
93
14- Method Overriding
03:15
94
15- Multi-level Inheritance
02:43
95
16- Multiple Inheritance
03:23
96
17- A Good Example of Inheritance
04:32
97
18- Abstract Base Classes
04:51
98
19- Polymorphism
03:57
99
20- Duck Typing
02:51
100
21- Extending Built-in Types
02:27
101
22- Data Classes
04:37
102
1- Creating Modules
04:17
103
2- Compiled Python Files
02:20
104
3- Module Search Path
01:36
105
4- Packages
02:28
106
5- Sub-packages
01:02
107
6- Intra-package References
01:37
108
7- The dir Function
01:40
109
8- Executing Modules as Scripts
02:56
110
1- Python Standard Library
00:52
111
2- Working With Paths
04:49
112
3- Working with Directories
04:15
113
4- Working with Files
04:00
114
5- Working with Zip Files
03:16
115
6- Working with CSV Files
04:51
116
7- Working with JSON Files
03:59
117
8- Working with a SQLite Database
09:11
118
9- Working with Timestamps
02:25
119
10- Working with DateTimes
05:06
120
11- Working with Time Deltas
02:42
121
12- Generating Random Values
04:10
122
13- Opening the Browser
01:13
123
14- Sending Emails
06:49
124
15- Templates
04:54
125
16- Command-line Arguments
01:55
126
17- Running External Programs
08:07
127
1- Pypi
01:50
128
2- Pip
06:24
129
3- Virtual Environments
04:05
130
4- Pipenv
03:41
131
5- Virtual Environments in VSCode
03:50
132
6- Pipfile
04:49
133
7- Managing Dependencies
03:29
134
8- Publishing Packages
08:24
135
9- Docstrings
05:49
136
10- Pydoc
04:07
137
1- Introduction
01:42
138
2- What are APIs
02:37
139
3- Yelp API
02:52
140
4- Searching for Businesses
09:55
141
5- Hiding API Key
02:06
142
6- Sending Text Messages
06:03
143
7- Web Scraping
09:07
144
8- Browser Automation
11:29
145
9- Working with PDFs
06:19
146
10- Working with Excel Spreadsheets
09:53
147
11- Command Query Separation Principle
04:40
148
12- NumPy
09:07
149
1- Introduction
01:44
150
2- Your First Django Project
04:12
151
3- Your First App
03:42
152
4- Views
08:00
153
5- Models
04:58
154
6- Migrations
08:01
155
7- Changing the Models
05:39
156
8- Admin
04:30
157
9- Customizing the Admin
06:56
158
10- Database Abstraction API
03:53
159
11- Templates
10:24
160
12- Adding Bootstrap
04:20
161
13- Customizing the Layout
02:25
162
14- Sharing a Template Across Multiple Apps
03:49
163
15- Url Parameters
04:38
164
16- Getting a Single Object
03:49
165
17- Raising 404 Errors
03:52
166
18- Referencing Urls
03:48
167
19- Creating APIs
09:27
168
20- Adding the Homepage
04:28
169
21- Getting Ready to Deploy
09:45
170
22- Deployment
08:00
171
1- What is Machine Learning
01:59
172
2- Machine Learning in Action
02:48
173
3- Libraries and Tools
04:55
174
4- Importing a Data Set
06:22
175
5- Jupyter Shortcuts
05:27
176
6- A Real Machine Learning Problem
03:18
177
7- Preparing the Data
03:06
178
8- Learning and Predicting
04:05
179
9- Calculating the Accuracy
06:22
180
10- Persisting Models
03:15
181
11- Visualizing a Decision Tree
06:27
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Frequently asked questions

What prior knowledge do I need before taking this course?
This course is designed for beginners, so no prior programming experience is necessary. It starts with the basics, such as installing Python and writing your first Python program, making it accessible for those who are new to programming.
What projects or exercises will I complete during the course?
The course includes various exercises such as working with loops, functions, and lists. There are specific lessons where you will define functions, use loops in different contexts, and manipulate lists with operations like sorting and filtering.
Who is the target audience for this course?
The course is ideal for beginners who want to learn Python, especially those interested in AI, machine learning, or entering fields where Python is heavily used, like data science, web development, and automation.
How does this course compare in depth and scope to others?
This course covers a wide range of topics from basic syntax and variables to more advanced concepts like lambda functions and list comprehensions. With 181 lessons, it provides a comprehensive introduction suitable for complete beginners.
What specific tools or platforms will I learn to use?
The course teaches you to use Python with code editors and the Python interpreter. It also covers linting and formatting Python code, with specific lessons on using VSCode coding tricks for both Windows and Mac platforms.
What topics are not covered in this course?
While the course covers many foundational aspects of Python, it does not delve into specialized topics like web development frameworks (e.g., Django, Flask) or in-depth machine learning libraries (e.g., TensorFlow, PyTorch).
How much time should I expect to commit to this course?
The course includes 181 lessons, each designed to build on the previous. While the exact runtime is unspecified, learners should expect to spend considerable time practicing and completing exercises to fully grasp the material.