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4 years ago
import numpy as np
tab = np.random.random(2000000)
%timeit sum(tab)
156 ms ± 392 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) 
%timeit np.sum(tab)
1.24 ms ± 19.9 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) 
x = np.arange(9)