Perform the following Indexing Operations using Numpy array. array3d = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]). Data science using Python in Anaconda - Jupyter

import numpy as np 
array3d = np.array([[[123], [456]], [[789], [101112]]])
print(array3d)
print("first row first col: ",array3d[0][0][0])
print("first row second col: ",array3d[0][0][1])
print("second row first col: ",array3d[0][1][0])
print("second row second col: ",array3d[0][1][1])


Output: -
[[[ 1 2 3] [ 4 5 6]] [[ 7 8 9] [10 11 12]]] first row first col: 1 first row second col: 2 second row first col: 4 second row second col: 5