NumPy — Programming at Multi Dimensions.

!pip install numpy
import numpy as np
a = np.array([[1,2,3],[1,2,3],[4,5,6]])
array_zeros = np.zeros(4)
array_ones = np.ones(4)
array_empty = np.empty(4)
ip: i = np.identity(3)
i
op:array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]])
ip:array_a = np.array([[1,2],[3,4]])   array_b = np.array([[1,2],[3,4]])   dot_product = np.dot(array_a,array_b)
cross_product = np.cross(array_a, array_b)
dot_product
cross_product
op: array([[ 7, 10], [15, 22]])
array([0, 0])
ip: numpy_array = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])    mean = numpy_array.mean()    variance = numpy_array.var()    standard_deviation = numpy_array.std()    print('Mean :',mean)    print('Variance:',variance)    print('Standard Deviation:', standard_deviation)op: Mean : 5.0 
Variance: 6.666666666666667
Standard Deviation: 2.581988897471611

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