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This code is supporting material for the book Building Machine Learning Systems with Python by Willi Richert and Luis Pedro Coelho published by PACKT Publishing

It is made available under the MIT License



In [1]:

    
import timeit

normal_py_sec = timeit.timeit('sum(x*x for x in range(1000))',
                              number=10000)
naive_np_sec = timeit.timeit('sum(na*na)',
                             setup="import numpy as np; na=np.arange(1000)",
                             number=10000)
good_np_sec = timeit.timeit('na.dot(na)',
                            setup="import numpy as np; na=np.arange(1000)",
                            number=10000)

print("Normal Python: %f sec" % normal_py_sec)
print("Naive NumPy: %f sec" % naive_np_sec)
print("Good NumPy: %f sec" % good_np_sec)









    



Normal Python: 0.637946 sec
Naive NumPy: 0.880242 sec
Good NumPy: 0.015605 sec



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