performance - python: Is it better to have one proper for loop or several oneliner for loops -


i have several lines of python code this:

myvar1 = np.array([d['key1'] d in d[0]['log']])

all keys/values have same length.

is better (performance/cpu/memory) make single loop , import them, or better several 1 liners?

what think?

you can use timeit , measure it.


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