Input:matrix1 = ([1, 2, 3],
                 [3, 4, 5],
                 [7, 6, 4])
      matrix2 = ([5, 2, 6],
                 [5, 6, 7],
                 [7, 6, 4])

Output : [[36 32 32]
          [70 60 66]
          [93 74 100]]

# input two matrices of size n x m
matrix1 = [[12,7,3],
        [4 ,5,6],
        [7 ,8,9]]
matrix2 = [[5,8,1],
        [6,7,3],
        [4,5,9]]
 
res = [[0 for x in range(3)] for y in range(3)]
 
# explicit for loops
for i in range(len(matrix1)):
    for j in range(len(matrix2[0])):
        for k in range(len(matrix2)):
 
            # resulted matrix
            res[i][j] += matrix1[i][k] * matrix2[k][j]
 
print (res)

[[114, 160, 60], [74, 97, 73], [119, 157, 112]]

# We need install numpy in order to import it
import numpy as np
 
# input two matrices
mat1 = ([1, 6, 5],[3 ,4, 8],[2, 12, 3])
mat2 = ([3, 4, 6],[5, 6, 7],[6,56, 7])
 
# This will return dot product
res = np.dot(mat1,mat2)
 
 
# print resulted matrix
print(res)

[[ 63 320  83]
 [ 77 484 102]
 [ 84 248 117]]

# same result will be obtained when we use @ operator
# as shown below(only in python >3.5)
import numpy as np
 
# input two matrices
mat1 = ([1, 6, 5],[3 ,4, 8],[2, 12, 3])
mat2 = ([3, 4, 6],[5, 6, 7],[6,56, 7])
 
# This will return matrix product of two array
res = mat1 @ mat2
 
# print resulted matrix
print(res)

[[ 63 320  83]
 [ 77 484 102]
 [ 84 248 117]]