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A curated learning repository focused on High-Performance Computing (HPC) -- covering fundamentals to advanced topics in CUDA, MPI, C++, and Python-C++ interoperability.

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mrshaw01/software-engineer

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Software Engineer

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

.
+-- 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:

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

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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.

About

A curated learning repository focused on High-Performance Computing (HPC) -- covering fundamentals to advanced topics in CUDA, MPI, C++, and Python-C++ interoperability.

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