Building a Scientific Computing Platform (Quantum, ML, Math) in Pure Python Without NumPy

Short summary

A developer released a pure-Python scientific computing library (v0.6.0) implementing linear algebra, quantum mechanics simulation, neural networks, signal processing (FFT), and statistics without NumPy. The project features 350+ unit tests (95% coverage), strict typing, and educational tutorials. It's ideal for understanding algorithm fundamentals but trades performance for pure-Python readability.

• •Pure-Python scientific library with quantum, ML, signal processing, and statistics modules
• •350+ unit tests, 95% coverage, strict type checking with mypy/ruff
• •Educational focus: learn algorithms from source code without C/C++ dependencies

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