mdipierro/nlib

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1338 stars · 111 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A pure-Python numerical computing library (nlib.py) accompanied by the open book 'Annotated Algorithms in Python', covering linear algebra, root finding, optimization, statistics, and finance without requiring numpy. It serves both as a teaching resource and a lightweight dependency-free toolkit for numerical algorithms.

Use cases

• learn numerical algorithms in python from scratch
• do linear algebra without numpy
• fit curves with least squares in pure python
• solve equations with newton's method
• compute statistics like mean, correlation, covariance
• fetch and analyze stock price data
• persist a python dictionary to sqlite

When to choose

• you want a dependency-free pure python numerical library
• you are teaching or learning how numerical algorithms work internally
• you need lightweight math utilities where numpy is unavailable or overkill

When to avoid

• you need high-performance vectorized numerical computing
• you are building production scientific software - prefer numpy/scipy
• you need a maintained library with a clear license and active development

Facets

library · maturity maintenance

math data-science machine-learning mathematics data-science education tutorials python cross-platform numerical-computing pure-python textbook no-numpy linear-algebra statistics finance optimization

Member repositories

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