At the beginning, I thought that if there are two matrices matA and matB in the same dimension, then I can just add their corresponding elements with ``matA + matB.'' By doing some tests, however, I found it's not what I expected.

>>> matA = [[1, 2], [3, 4]]

>>> matA

[[1, 2], [3, 4]]

>>> matB = [[-1, -2], [-3, -4]]

>>> matB

[[-1, -2], [-3, -4]]

>>> matC = matA + matB

>>> matC

[[1, 2], [3, 4], [-1, -2], [-3, -4]]

The plus operator concentrated matA and matB, and this was not what I needed.

Importing the ``array'' module still cannot let me do things I wanted.

>>> import array

>>> matA = array.array("i", [1, 2, 3, 4])

>>> matA

array('i', [1, 2, 3, 4])

>>> matB = array.array("i", [-1, -2, -3, -4])

>>> matC = matA + matB

>>> matC

array('i', [1, 2, 3, 4, -1, -2, -3, -4])

The solution is ``to use SciPy.'' Yes, if you want to manipulate matrices with Python more intuitively, remember to import scipy.

>>>

>>> from pylab import *

>>> matA = array([[1, 2], [3, 4]])

>>> matA

array([[1, 2],

[3, 4]])

>>> matB = array([[-1, -2], [-3, -4]])

>>> matB

array([[-1, -2],

[-3, -4]])

>>> matC = matA + matB

>>> matC

array([[0, 0],

[0, 0]])

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