Performance improvements for python used at http://blog.carlesmateo.com/2014/10/13/performance-of-several-languages/

nested_loops.py

from datetime import datetime
import timeit

def loop():
    i_counter = 0
    # List from 0 to 31999, saved beforehand to not use the generator version of range
    # Also reduces the overhead of generating the list twice, which other languages don't have to do
    bigrange = list(range(32000))

    # No need to save an index variable we never use
    for _ in range(10):
        for _ in bigrange:
            for _ in bigrange:
                i_counter = i_counter + 1 if i_counter < 50 else 0
    print(i_counter)


print("Starting at: " + str(datetime.now()))
# Using timeit instead of computing the diference in times because it is more pythonic.
# Also coincidentally disables garbage collection
seconds = timeit.timeit('loop()', setup='from __main__ import loop', number=1)
print("Ending at: " + str(datetime.now()))
print("Total seconds:" + str(seconds))