Computer scienceProgramming languagesPythonCode qualityCode performance

Timeit module

List comprehension vs a for loop

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Everyone says that list comprehension is faster than a for loop. You decide to check that with timeit and write the following code:

import timeit
cycle = """l = []
for num in range(1, 100):
    l.append(num)
"""
comprehension = "[num for num in range(1, 100)]"
timeit.timeit(cycle, number=10000)
timeit.timeit(comprehension, number=100000)

However, the code doesn't work the way it should. You look through it and find a mistake. What is that mistake?

Select one option from the list

The number argument is not the same, you won't be able to compare the results

It should be timeit.repeat() instead of timeit.timeit()

Import statement should be passed as setup argument to timeit.timeit()

Some lines lack identation

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