Profiling runtime and memory

profileMemory.py

@profile # python -m memory_profiler example.py
def my_func():
    a = [1] * (10 ** 6)
    b = [2] * (2 * 10 ** 7)
    del b
    return a

if __name__ == '__main__':
    my_func()

profileRuntime.py

 if False:
        main()

    else: 
        import cProfile
        # call method main and log results to profile.log
        cProfile.run('main()', 'profile.log')
        
        import pstats
        # used to analyze stats
        p = pstats.Stats('profile.log')
        # return the 100 most time consuming methods
        p.sort_stats('time').print_stats(100)