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rvprasad/python_performance1.py

Last active December 24, 2019 22:51
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  1. rvprasad revised this gist Dec 24, 2019. 1 changed file with 1 addition and 1 deletion.
    2 changes: 1 addition & 1 deletion python_performance1.py
    View file
    Original file line number Diff line number Diff line change
    @@ -8,7 +8,7 @@ def time_function(f, data):
    start = timer()
    f(data)
    times.append(timer() - start)
    print(f'function: {f.__name__} Mean Time: {statistics.mean(times)} Median Time:{statistics.median(times)}')
    print(f'{f.__name__} Mean Time: {statistics.mean(times)} Median Time:{statistics.median(times)}')

    def extract_uniq_elems_using_list(nums):
    uniq_elems = []
  2. rvprasad renamed this gist Dec 24, 2019. 1 changed file with 0 additions and 0 deletions.
    0 python_performance.py → python_performance1.py
    View file
    File renamed without changes.
  3. rvprasad created this gist Dec 24, 2019.
    33 changes: 33 additions & 0 deletions python_performance.py
    View file
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,33 @@
    import random
    import statistics
    from timeit import default_timer as timer

    def time_function(f, data):
    times = []
    for _ in range(0, 20):
    start = timer()
    f(data)
    times.append(timer() - start)
    print(f'function: {f.__name__} Mean Time: {statistics.mean(times)} Median Time:{statistics.median(times)}')

    def extract_uniq_elems_using_list(nums):
    uniq_elems = []
    for n in nums:
    uniq_elems.append(n)
    uniq_elems = set(uniq_elems)

    def extract_uniq_elems_using_set(nums):
    uniq_elems = set()
    for n in nums:
    uniq_elems.add(n)

    not_so_randoms = [random.randint(0, 10000) for i in range(0, 10000)]
    randoms = [random.randint(0, 10000) for i in range(0, 10000)]
    for i in range(1, 14):
    print(f'Nums: {len(randoms)}')
    time_function(extract_uniq_elems_using_set, not_so_randoms)
    time_function(extract_uniq_elems_using_list, not_so_randoms)
    time_function(extract_uniq_elems_using_set, randoms)
    time_function(extract_uniq_elems_using_list, randoms)
    not_so_randoms *= 2
    randoms.extend(random.randint(0, len(randoms)) for i in range(0, len(randoms)))