Numerical Recipes Python [repack]

If you want a modern textbook that blends numerical methods with Python (and respects open source), look at:

series is a foundational—yet controversial—resource for anyone translating scientific algorithms into Python. numerical recipes python

| NR Classic Topic | Modern Python Solution | |----------------|------------------------| | Linear algebra | numpy.linalg / scipy.linalg | | FFTs | numpy.fft | | ODE integrators | scipy.integrate (e.g., solve_ivp ) | | Random numbers | numpy.random (PCG64, MT19937) | | Optimization | scipy.optimize | | Interpolation | scipy.interpolate | | Special functions | scipy.special | If you want a modern textbook that blends

A very interesting angle for a research paper or technical blog post is the criticism of the Numerical Recipes approach in the age of Python. These libraries are:

If you are looking for the academic citation that explains the engine behind modern numerical Python (which replaces the need for Numerical Recipes code), this is it.

These libraries are: