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.
The Complete Python Programming Course for Beginners
11h 56m 40s
English
Paid
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!
About the Author: Mosh Hamedani (Code with Mosh)
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 181 lessons
0:00
/ #1: 1- What is Python
All Course Lessons (181)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 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 is The Complete Python Programming Course for Beginners about?
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…
Who teaches this course?
It is taught by Mosh Hamedani (Code with Mosh). You can find more courses by this instructor on the corresponding source page.
How long is the course?
It contains 181 lessons with a total runtime of 11 hours 56 minutes. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/the-complete-python-programming-course-for-beginners. The page hosts every lesson with the integrated video player; no download is required.