A structured, hands-on Python learning repository covering Python from absolute basics to advanced concepts, written with clear examples and beginner-friendly explanations.
This repository is designed as a complete learning notebook for students, self-learners, and developers revising Python fundamentals and advanced concepts like concurrency and parallelism.
The content follows a step-by-step learning path, starting from core foundations and gradually moving to advanced real-world concepts.
- Python introduction & syntax
- Keywords & comments
- Data types & type casting
- Operators
- Conditional statements (
if,if-else, nested conditions) - Looping statements (
for,while)
- User-defined functions
- Function arguments & return values
- Python modules & imports
- Lists
- Tuples
- Sets
- Dictionaries
- Classes & objects
- Constructors
- Inheritance
- Encapsulation
- Polymorphism
try/exceptblocks- Custom exceptions
- Error handling best practices
- Reading & writing files
- File modes
- Working with text files
- Multithreading
- Thread creation
- Race conditions
- Locks & synchronization
- Multiprocessing
- Process creation
- Shared memory (
Value,Queue) - Inter-process communication
- Asynchronous Programming
async/await- Event loop basics
- Async tasks & concurrency model
These topics focus on performance, scalability, and real-world system behavior.
- Useful built-in functions
- Python internals overview
- Best practices & clean code principles
- Beginners learning Python from scratch
- College students preparing for placements & internships
- Developers revising Python fundamentals
- Anyone aiming to understand concurrency and performance concepts
- Clean and structured learning flow
- Beginner-friendly explanations
- Covers core + advanced Python
- Strong focus on real-world programming concepts
- Follow topics in order for best learning experience
- Run and modify examples to gain hands-on understanding
- Use it as a revision notebook before interviews
Contributions, suggestions, and improvements are welcome.
Feel free to fork and enhance the repository.
This project is open-source and available for learning and educational purposes.