Python 3 @ matrix multiply performance
For syntax clarity consider using @ matrix multiply instead of Numpy .dot(). The performance with either syntax is the same.
import numpy as np
X = np.random.random((5000,5000))
Y = np.random.random((5000,5000))%timeit X @ Y1 loop, best of 3: 1.65 s per loop
%timeit X.dot(Y)1 loop, best of 3: 1.65 s per loop
%timeit np.dot(X,Y)1 loop, best of 3: 1.65 s per loop