In [2]:

    

import numpy as np
single_array = np.array([1, 2], dtype='float32')
double_array = np.array([1, 2], dtype='float64')


    

In [3]:

    

def testop(array):
    norm = (array[0]**2 + array[1]**2)**0.5


    

In [6]:

    

%timeit testop(single_array)


    

    




3.77 µs ± 93.6 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)

In [5]:

    

%timeit testop(double_array)


    

    




756 ns ± 11.6 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)

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