Numeric applications

The numpy numerical Python library contains a lot of functions for numerical computations.

import numpy as np

np.zeros((5, 5))

array([[ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.]])

np.matrix([[1, 2],[3, 4]])

matrix([[1, 2],
        [3, 4]])


np.matrix('1 2; 3 4')
np.arange(25).reshape((5, 5))
np.array(range(25)).reshape((5, 5))
np.ndarray((5, 5))

Get the dimensions of a numpy array: x.shape