Learn Python

General

Title	Code
Optional Arguments	optional_arguments.py
Keyword Arguments	keyword_arguments.py
Variable Arguments	variable_arguments.py

Type Annotations

Title	Code
Basic Types	basic_types.py
Functions	function_types.py
List Type	list_type.py
Dict Type	dict_type.py
Set Type	set_type.py
Tuple Type	tuple_type.py
Custom Type	custom_type.py
Class Type	class_type.py
Optional Type	optional_type.py
Any Type	any_type.py
Callable Type	callable_type.py
Sequence Type	sequence_type.py
TypeVar Type	typevar_type.py
Generic Type	generic_type.py

Coming

1. Custom Comparators
2. Custom Iterators
3. Max Heap using heapq
4. Abstract Base Classes
5. Custom Context Managers
6. Decorators
7. Generators
8. Coroutines
9. Metaclasses
10. Multi-threading and Multi-processing
11. Asynchronous programming with asyncio
12. Modules
13. Packages
14. Virtual Environments
15. Regular Expressions
16. itertools and functools
17. File I/O
18. Logging
19. mypy
20. Type hints and static type checking with mypy
21. Concurrency and parallelism with concurrent.futures module
22. Threading synchronization mechanisms such as locks, semaphores, and barriers
23. The async and await keywords for asynchronous programming
24. Decorator patterns such as memoization, timing, and retrying
25. Using Python with Big Data platforms such as Apache Spark and Hadoop
26. Security and encryption with Python, such as using cryptography libraries.
27. Using Python for natural language processing with libraries such as NLTK and spaCy
28. Python extension modules with C or C++ using Cython or ctypes.
29. Python performance optimization techniques, such as profiling, JIT compilation, and memory management.
30. Context variables with the contextvars module