CF

Python Programming for Developers

11h 14m 25s
English
Paid

This course helps you use Python with confidence. You already know how to code. You know what variables and functions are. This course respects that. You get a clear path to learn Python fast without slow beginner lessons.

Why Learn Python

Python is a clear and flexible language. It fits well with many real projects. It also works on every major system, so you can use it anywhere.

  • Grow your skill set because many teams use Python today.
  • Use it in many fields like math, science, and engineering.
  • Learn it faster than lower‑level languages like C or C++.
  • Study with it because many schools and universities teach Python.
  • Build with it at companies like Google, Facebook, and Spotify.
  • Run code anywhere on Windows, macOS, or Linux.

What You Can Build

Python gives you tools to solve problems, test ideas, and support full apps. You can work on small scripts or large systems.

  • Scripting to automate tasks like crawling sites or sending emails.
  • App backends using frameworks that help you ship code fast.
  • AI and machine learning with strong libraries and data tools.
  • Data analysis and charts for large or complex datasets.
  • Math and science work with clear syntax and helpful libraries.
  • Desktop apps with GUI frameworks used in real products.
  • Education because Python is simple for beginners and useful for advanced study.

About the Author: 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.

Watch Online 170 lessons

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 170 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: 1- What is Python
All Course Lessons (170)
#Lesson TitleDurationAccess
1
1- What is Python Demo
03:22
2
2- Installing Python
02:21
3
3- Code Editors
00:59
4
4- Your First Python Program
02:26
5
5- Python Extension
02:53
6
6- Linting Python Code
04:15
7
7- Formatting Python Code
03:55
8
8- Running Python Code
03:00
9
9- Python Implementations
02:29
10
10- How Python Code is Executed
02:47
11
11- Summary
00:22
12
1- Variables
02:05
13
2- Dynamic Typing
02:37
14
3- Type Annotation
01:51
15
4- Mutable and Immutable Types
02:59
16
5- Strings
04:12
17
6- Escape Sequences
03:20
18
7- Formatted Strings
02:09
19
8- Useful String Methods
03:21
20
9- Numbers
02:10
21
10- Arithmetic Operators
01:48
22
11- Working with Numbers
02:38
23
12- Type Conversion
04:23
24
13- Conditional Statements
03:25
25
14- Logical Operators
03:07
26
15- Ternary Operator
01:18
27
16- For Loops
04:09
28
17- For..Else
02:39
29
18- While Loops
01:48
30
19- Functions
04:42
31
20- Arguments- xargs
02:28
32
21- Arguments- xxargs
02:05
33
22- Scope
03:38
34
23- Debugging
03:33
35
24- VSCode Coding Tricks - Windows
02:22
36
25- VSCode Coding Tricks - Mac
01:50
37
26- Exercise
01:30
38
27- Solution
04:42
39
1- Lists
03:55
40
2- Accessing Items
03:14
41
3- List Unpacking
03:52
42
4- Looping over Lists
02:55
43
5- Adding or Removing Items
02:57
44
6- Finding Items
01:29
45
7- Sorting Lists
04:36
46
8- Lambda Functions
01:50
47
9- Map Function
03:26
48
10- Filter Function
02:06
49
11- List Comprehensions
03:11
50
12- Zip Function
01:50
51
13- Stacks
04:25
52
14- Queues
02:51
53
15- Tuples
04:03
54
16- Swapping Variables
02:38
55
17- Arrays
03:12
56
18- Sets
04:04
57
19- Dictionaries
05:25
58
20- Dictionary Comprehensions
03:20
59
21- Generator Expressions
03:52
60
22- Unpacking Operator
04:06
61
23- Exercise
06:22
62
1- Exceptions
02:17
63
2- Handling Exceptions
04:11
64
3- Handling Different Exceptions
03:06
65
4- Cleaning Up
01:58
66
5- The With Statement
03:08
67
6- Raising Exceptions
03:22
68
7- Cost of Raising Exceptions
04:42
69
1- Classes
02:36
70
2- Creating Classes
03:46
71
3- Constructors
04:38
72
4- Class vs Instance Attributes
03:59
73
5- Class vs Instance Methods
04:06
74
6- Magic Methods
03:14
75
7- Comparing Objects
03:12
76
8- Performing Arithmetic Operations
01:32
77
9- Making Custom Containers
06:56
78
10- Private Members
03:41
79
11- Properties
07:31
80
12- Inheritance
04:24
81
13- The Object Class
02:24
82
14- Method Overriding
03:15
83
15- Multi-level Inheritance
02:43
84
16- Multiple Inheritance
03:23
85
17- A Good Example of Inheritance
04:32
86
18- Abstract Base Classes
04:51
87
19- Polymorphism
03:57
88
20- Duck Typing
02:51
89
21- Extending Built-in Types
02:27
90
22- Data Classes
04:37
91
1- Creating Modules
04:17
92
2- Compiled Python Files
02:20
93
3- Module Search Path
01:36
94
4- Packages
02:28
95
5- Sub-packages
01:02
96
6- Intra-package References
01:37
97
7- The dir Function
01:40
98
8- Executing Modules as Scripts
02:56
99
1- Python Standard Library
00:52
100
2- Working With Paths
04:49
101
3- Working with Directories
04:15
102
4- Working with Files
04:00
103
5- Working with Zip Files
03:16
104
6- Working with CSV Files
04:51
105
7- Working with JSON Files
03:59
106
8- Working with a SQLite Database
09:11
107
9- Working with Timestamps
02:25
108
10- Working with DateTimes
05:06
109
11- Working with Time Deltas
02:42
110
12- Generating Random Values
04:10
111
13- Opening the Browser
01:13
112
14- Sending Emails
06:49
113
15- Templates
04:54
114
16- Command-line Arguments
01:55
115
17- Running External Programs
08:07
116
1- Pypi
01:50
117
2- Pip
06:24
118
3- Virtual Environments
04:05
119
4- Pipenv
03:41
120
5- Virtual Environments in VSCode
03:50
121
6- Pipfile
04:49
122
7- Managing Dependencies
03:29
123
8- Publishing Packages
08:24
124
9- Docstrings
05:49
125
10- Pydoc
04:07
126
1- Introduction
01:42
127
2- What are APIs
02:37
128
3- Yelp API
02:52
129
4- Searching for Businesses
09:55
130
5- Hiding API Keys
02:06
131
6- Sending Text Messages
06:03
132
7- Web Scraping
09:07
133
8- Browser Automation
11:29
134
9- Working with PDFs
06:19
135
10- Working with Excel Spreadsheets
09:53
136
11- Command Query Separation Principle
04:40
137
12- NumPy
09:07
138
1- Introduction
01:44
139
2- Your First Django Project
04:12
140
3- Your First App
03:42
141
4- Views
08:00
142
5- Models
04:58
143
6- Migrations
08:01
144
7- Changing the Models
05:39
145
8- Admin
04:30
146
9- Customizing the Admin
06:56
147
10- Database Abstraction API
03:53
148
11- Templates
10:24
149
12- Adding Bootstrap
04:20
150
13- Customizing the Layout
02:25
151
14- Sharing a Template Across Multiple Apps
03:49
152
15- Url Parameters
04:38
153
16- Getting a Single Object
03:49
154
17- Raising 404 Errors
03:52
155
18- Referencing Urls
03:48
156
19- Creating APIs
03:52
157
20- Adding the Homepage
09:27
158
21- Getting Ready to Deploy
04:28
159
22- Deployment
09:45
160
1- What is Machine Learning
08:00
161
2- Machine Learning in Action
01:59
162
3- Libraries and Tools
02:48
163
4- Importing a Data Set
04:55
164
5- Jupyter Shortcuts
06:22
165
6- A Real Machine Learning Problem
05:27
166
7- Preparing the Data
03:18
167
8- Learning and Predicting
03:06
168
9- Calculating the Accuracy
04:05
169
10- Persisting Models
06:22
170
11- Visualizing a Decision Tree
06:27
Unlock unlimited learning

Get instant access to all 169 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Related courses

Frequently asked questions

What prerequisites are needed for this Python course?
This course assumes you already know how to code, specifically understanding concepts such as variables and functions. It is designed for those who have a foundational knowledge in programming and want to learn Python without starting from beginner-level content.
What types of projects can I expect to build during the course?
You can build a variety of projects, ranging from small scripts for tasks like web crawling or sending emails, to larger systems like app backends using frameworks. The course also covers AI, machine learning, data analysis, and desktop apps, providing a wide scope of applications to work on.
Who is the target audience for this course?
The course is aimed at developers who are already familiar with programming but want to learn Python efficiently. It is ideal for those working in fields like math, science, engineering, or anyone interested in using Python for automation, data analysis, or application development.
How does this course compare to learning Python from scratch?
Unlike beginner courses, this course skips basic concepts and directly focuses on Python-specific features and advanced topics. It respects the prior coding knowledge of the students and provides a fast-tracked learning path without redundant beginner lessons.
What specific tools or platforms will I learn to use?
The course includes lessons on using code editors, Python extensions, and tools for linting and formatting Python code. It also covers coding tricks specific to Visual Studio Code on both Windows and Mac, offering practical skills for efficient Python development.
What topics are not covered in this Python course?
The course does not cover introductory programming concepts, assuming familiarity with variables and functions. It also doesn't delve into languages other than Python, focusing entirely on Python's syntax and applications.
What is the time commitment required to complete the course?
The course consists of 170 lessons. While the exact runtime is not specified, the structured lessons suggest a thorough engagement requiring several weeks of study, depending on your pace and prior experience with programming.