These are notes/example code used for my talk optimizing python code with numpy and f2py. They are mostly meant as a skeleton to give the talk around, not as a replacement for the talk, but I post them here in the hope that they will be useful anyway.
numpy_intro.py: Introduction to numpy through many small examples.numpy_performance.py: How fast is numpy compared to python?numpy_f2py.py: Calling fortran from python via numpy. How much is there to gain?fortran.f90: Fortran code used innumpy_f2py.py.
These are mostly self-contained from the talk, and can be run as stand-alone examples,
for example python numpy_performance.py. Before running python numpy_f2py.py, the
fortran code needs to be compiled. On linux (possibly mac?), this should be as simple
as running make.