Optimising Python

28th October 2003

Some great tips for optimising Python, courtesy of Ian Bicking:

Kata 19: an optimization anecdote demonstrates some neat techniques including use of the gc module to fine tune garbage collection.
Python Patterns—An Optimization Anecdote mainly uses functional programming techniques and the array module.
An Optimization Anecdote from Fredrik Lundh teaches us that the more time is spent by Python in pure C routines, the faster code will run (note that this does not necessarily imply rewriting Python code in C).
Python Performance Tips from 1996, most of which look like they are still valid.
Python optimization tips, which seem to be a bit more up to date.

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