This is a comparison of pure-Python, Numpy, SciPy and Cython implementations of least squares regression. Original implementations come from Reddit user rasbt (/u/rasbt).

Largely this started as a way to prove a point, but it quickly evolved a pointlessly large timing "suite". I'm particularly fond of the terminal bar graphs module (terminal_bars.py).