You've got to love profiling
Yesterday I slashed 50% of run time from our applications functional test suite by modifying a single function. I had no idea that function was responsible for 50% of the run time until I started profiling.
Profiling a Python program is getting easier and easier:
$ python -m cProfile -o prof.data bin/test -f runs our test runner (which is a Python script) under the profiler and stores the results in prof.