Modern Python Standard Library Cookbook

How to do it...

For this recipe, the following steps are to be performed:

1. We can take any function we want to profile (which can even be the main entry point of the program):

import time

def slowfunc(goslow=False):
    l = []
    for i in range(100):
        l.append(i)
        if goslow:
            time.sleep(0.01)
    return l

2. We can profile it using the cProfile module:

from cProfile import Profile

profiler = Profile()
profiler.runcall(slowfunc, True)
profiler.print_stats()

3. That will print the timing for the function and the slowest functions called by the profiled one:

202 function calls in 1.183 seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.002 0.002 1.183 1.183 devtools_09.py:3(slowfunc) 100 1.181 0.012 1.181 ...