import timeit

normal_py_sec = timeit.timeit('sum (x*x for x in xrange(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)



Add a simple benchmark script
Add a simple benchmark script
