Python Playlist: Learn Python from Basics to Advanced

Welcome to the Python Playlist repository! This is a comprehensive guide for learning Python, starting from the basics all the way to advanced topics. Each video in the playlist will help you understand the key concepts in Python and demonstrate them with practical examples.

🐍 Install Python Using Miniconda / Miniforge

To keep your Python projects clean and isolated, it's recommended to use conda environments. Below are the steps to install Miniforge and create a new Python environment.

🔗 Download Miniforge for macOS (ARM64)

Download from the official repository:
https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh

💻 Install Miniforge

Run the following commands in your terminal:

chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate

🧱 Create a project-specific conda environment

conda create --prefix ./env python=3.14
conda activate ./env

📦 Install packages from requirements.txt If your project contains a requirements file, install dependencies using:

pip install -r requirements.txt

That’s it! Your Python environment is ready to roll 🚀

Playlist Breakdown

1. Basics of Python | Jump Straight Into Python! No Installation, Just Code 💻

Introduction to Python.

2. Mutable & Immutable in Python Explained with Code

Real-life examples and code to illustrate mutable vs immutable objects.

3. Learn Python Indentation the Right Way (No More Errors!)

Tips and tricks to avoid common indentation errors in Python.

4. Variables & Data Types in Python

Exploring data types such as integers, floats, strings, and booleans.
Working with variables and type conversion.

5. Operators in Python

Overview of arithmetic, comparison, logical, and assignment operators.

6. Strings in Python

Indexing, slicing, string methods, and formatting.

7. List in Python

Lists, list methods, and list comprehensions.

8. Dictionary in Python

Keys, values, and operations on dictionaries.

9. Loops in Python

Mastering for and while loops.

10. Sets and Tuples in Python

Properties and use cases.

11. String Formatting in Python

f-strings, format() method, and % formatting.

12. List Comprehension in Python

Writing concise and readable list comprehensions.

13. Conditional Statements (if-else) by Solving Problems

Hands-on practice with decision-making.

14. Loops by Solving Problems in Python

Practice problems to strengthen loop understanding.

15. Functions in Python

Parameters, return values, and scope.

16. Decorators in Python

Using decorators to modify functions.

17. Object-Oriented Programming in Python

Classes, objects, inheritance, and polymorphism.

18. Dunder (Magic) Methods in Python

Special methods like __init__, __str__, __repr__.

19. Modules in Python

Organizing and reusing code using modules and packages.

20. Generator Methods in Python

Creating generators using yield.

21. Map, Filter, Reduce in Python

Functional programming tools.

22. Error Handling in Python

Using try, except, finally.

23. Multithreading and Multiprocessing in Python

Basics of parallel programming.

24. Asyncio in Python

Asynchronous programming and concurrency.

25. Type Hinting in Python

Improving code quality with type hints.

26. Iterators in Python

Understanding iterators and creating custom ones.

27. Abstract Classes in Python

Creating flexible and extensible code using abstract classes.

28. Collections Module in Python

namedtuple, Counter, defaultdict, deque, etc.

29. Enum in Python

Creating and using enumerations.

30. API Calling in Python

Making HTTP requests and handling JSON responses.

31. `new` vs `init` in Python

Understanding their differences and use cases.

Contributing

If you have any suggestions or improvements, feel free to create an issue or submit a pull request.

License

This repository is licensed under the MIT License. See the LICENSE file for more information.

Stay Connected

Thank you for checking out the Python Playlist! Happy coding!

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
19_modules		19_modules
assets		assets
.gitignore		.gitignore
10_tuples_and_sets.ipynb		10_tuples_and_sets.ipynb
11_string_format.ipynb		11_string_format.ipynb
12_list_comprehension.ipynb		12_list_comprehension.ipynb
13_conditional_statement_problems.ipynb		13_conditional_statement_problems.ipynb
13_input.py		13_input.py
14_loop_problems.ipynb		14_loop_problems.ipynb
15_functions.ipynb		15_functions.ipynb
16_decorators.ipynb		16_decorators.ipynb
17_oops.ipynb		17_oops.ipynb
18_dunder_methods.ipynb		18_dunder_methods.ipynb
1_basics_of_python.ipynb		1_basics_of_python.ipynb
20_generators.ipynb		20_generators.ipynb
21_map_filter_reduce.ipynb		21_map_filter_reduce.ipynb
22_error_handling.ipynb		22_error_handling.ipynb
23_multiprocessing.py		23_multiprocessing.py
23_multithreading.ipynb		23_multithreading.ipynb
24_asyncio.py		24_asyncio.py
25_type_hinting.ipynb		25_type_hinting.ipynb
26_iterators.ipynb		26_iterators.ipynb
27_abstract_class.ipynb		27_abstract_class.ipynb
28_collections.ipynb		28_collections.ipynb
29_enum.ipynb		29_enum.ipynb
2_mutable_immutable.ipynb		2_mutable_immutable.ipynb
30_api.ipynb		30_api.ipynb
31_new_.ipynb		31_new_.ipynb
3_indentation.ipynb		3_indentation.ipynb
4_variable_and_data_types.ipynb		4_variable_and_data_types.ipynb
5_operators.ipynb		5_operators.ipynb
6_strings.ipynb		6_strings.ipynb
7_lists.ipynb		7_lists.ipynb
8_dictionary.ipynb		8_dictionary.ipynb
9_loops.ipynb		9_loops.ipynb
README.md		README.md
data.txt		data.txt
demo.txt		demo.txt
requirements.txt		requirements.txt

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