It is not very important, but I am just curious.
Original I had in a program:
values = [*range(100)]
But because it is done quite often I expected that initialising:
range_list = [*range(100)]
and then use:
values = range_list.copy()
Would be more efficient. So I tried:
timeit('values = [*range(100)]')
1.6964535564184189
and:
timeit('new_values = values.copy()', 'values = [*range(100)]')
0.6457642465829849
That showed that it should make a positive difference.
But when changing the program it took a little bit more time.
I find the code with the copy a little bit better, so I kept it.
But I am curious why the effect is the opposite of what I expected.
It does not hurt to understand optimisation better, so I can do a
better job when I need it.
--
Cecil Westerhof
Senior Software Engineer
LinkedIn: http://www.linkedin.com/in/cecilwesterhof
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