It stands for Numperical python and it is used for peforming fast calculations and scientific operations. It provides a powerful data structure called ndarray (N-dimensional array), which allows ...

# Accessing the 2 -D - it is like a rows and columns. import numpy as np vd = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]) #print('2nd element in the 1st rows', vd[0 ...