A curated, high-quality collection of learning resources focused on Python and soon C/C++, designed to build strong software engineering foundations and system-level understanding.

Repository Structure

text . ├── python-basic/ # Essential Python syntax, data types, and operations ├── python-advanced/ # Decorators, threading, logging, JSON, and more ├── python-OOP/ # Deep dive into Python's object-oriented programming ├── cpp-basic/ # Fundamentals of C++: syntax, memory, pointers, etc. ├── cpp-advanced/ # Advanced C++: RAII, noexcept, smart pointers, RVO, etc. ├── cpp-OOP/ # Object-oriented programming in C++ ├── CUDA/ # GPU programming with CUDA (host & device code) ├── MPI/ # Message Passing Interface programming and demos ├── docs/ # System-level notes on performance, Python-C++ interop, mixed precision, etc. └── README.md # Project overview (this file)

How to Use

Each numbered folder contains a README.md explaining the concepts, along with runnable .py files. For example:

bash cd python-advanced/08-decorators python basic_function_decorator.py

Some scripts require third-party libraries (e.g., numpy, scipy, torch).

All code is compatible with Python 3.7+ and written to be minimal, focused, and testable.

Highlights

Python

• OOP Mastery: Classes, inheritance, metaclasses, descriptors (python-OOP/)
• Advanced Topics: Decorators, context managers, function caching, concurrency
• Data Structures: Lists, tuples, dicts, sets with practical usage

C++

• C++ Basics: Syntax, functions, pointers, structs, scope, enums (cpp-basic/)
• Modern C++: RAII, smart pointers, move semantics, alignment, RVO (cpp-advanced/)
• C++ OOP: Classes, access specifiers, inheritance, polymorphism, templates

Systems & Performance

• CUDA Programming: Host/device model, kernel launch, memory management (CUDA/)
• MPI Programming: Practical distributed programs, matrix ops, and validation runs (MPI/)
• Docs: Python-C++ interfacing, GIL handling, CUDA tuning, mixed precision training (docs/)

Learning Philosophy

• Small, modular examples — no cluttered notebooks
• Clear separation between concept, code, and commentary
• Emphasis on design, performance, and maintainability
• Builds knowledge progressively — ideal for serious learners and professionals

Star History

🤝 Contributions

Found a bug, typo, or want to extend something? Open a PR — all contributions are welcome.

📄 License

MIT License — free to use, adapt, and share for learning and teaching.