# we can also pass a list , tuple or any array like object with array(). and it will be converted to ndarray. # 0-D Arrays - scalars, are the elements in an array, each value in an array is a 0-D ...
# 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 ...
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