Matrix multiplication can be done in two equivalent ways with the dot function. One way is to use the dot member function of numpy.ndarray.
>>> import numpy as np
>>> A = np.ones((4,4))
>>> A
array([[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.]])
>>> B = np.ones((4,2))
>>> B
array([[ 1., 1.],
[ 1., 1.],
[ 1., 1.],
[ 1., 1.]])
>>> A.dot(B)
array([[ 4., 4.],
[ 4., 4.],
[ 4., 4.],
[ 4., 4.]])
The second way to do matrix multiplication is with the numpy library function.
>>> np.dot(A,B)
array([[ 4., 4.],
[ 4., 4.],
[ 4., 4.],
[ 4., 4.]])