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Applied Mathematics · Computation

Computational Math & Science

A working notebook library applying calculus, linear algebra, probability, and statistics to computational problems, plus the physics lab analyses behind them.

→ Spans calculus, linear algebra, probability, and physics
PythonJupyterNumPyMatplotlib

// THE STORY

The quantitative foundation underneath everything else on this site, kept in the open rather than left in a folder.

These are working notebooks applying calculus, linear algebra, probability, and statistics to computational problems, alongside the analysis work from physics labs. Nothing here is a product. It is the layer you need in place before the machine learning and robotics work can be anything other than calling other people's functions.

// WHAT STANDS OUT

Breadth on purpose

Calculus, linear algebra, probability, and statistics in one place.

Real lab analysis

Physics lab data worked through with the same tools, error analysis included.