︠1fdf79d7-e9c6-4837-8bfe-4a4fa02d4c42s︠
import numpy as np
︡376ffd59-588f-4623-be56-e7f1f10c9b39︡︡{"done":true}
︠f20e0362-443c-4ce7-97f4-8e46ca86ebe1s︠
A = np.array([[1, 2], [3, 4]], dtype=float)
B = np.array([[4, 5], [6, 7]], dtype=float)
︡8ec17100-25ca-4776-9936-c03aed3f4443︡︡{"done":true}
︠7cdc3303-98e5-43e0-8c6c-d3be37d5b9c8s︠
A * B
︡256138c7-2c0e-4363-a3d2-c86e76c850ee︡︡{"stdout":"array([[  4.,  10.],\n       [ 18.,  28.]])\n","done":false}︡{"done":true}
︠123ba390-c2b6-478f-acde-e23e6cc26dc8s︠
A / B
︡360016be-670c-4aea-8c72-1bc33079a740︡︡{"stdout":"array([[ 0.25      ,  0.4       ],\n       [ 0.5       ,  0.57142857]])\n","done":false}︡{"done":true}
︠3faad3a4-b29d-49e0-b95b-6c058c17ab2ds︠
C = matrix(RDF, 2, [1,2, 3,4])
D = matrix(RDF, 2, [4,5, 6,7])
︡f2d4ffd6-d107-4987-be3d-82440ec08850︡︡{"done":true}
︠0fe9aed4-f76a-4498-9e04-3bb2ca89b253s︠
C.numpy() * D.numpy()
︡ec0150ed-be8e-4f69-b938-0b33d0ed6f55︡︡{"stdout":"array([[  4.,  10.],\n       [ 18.,  28.]])\n","done":false}︡{"done":true}
︠d0971a1d-9f06-4e5c-800d-1273bd9f5148︠











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