Write a NumPy program to remove a specific column from a given array

import numpy as np 
nums = np.random.random((7, 5))
print("Original array:")
print(nums)
print("\nDelete the first column of the said array:")
print(np.delete(nums, [0], axis=1))
print("\nDelete the last column of the said array:")
print(np.delete(nums, [4], axis=1))

Sample Output:

Original array:
[[0.54420704 0.35710194 0.79167579 0.72249474 0.99968936]
 [0.22306352 0.31085825 0.09849254 0.11708716 0.45757945]
 [0.19381592 0.13587749 0.90455038 0.95146017 0.55716851]
 [0.62031347 0.84275698 0.84665943 0.06562172 0.58415968]
 [0.41903059 0.0660559  0.85270403 0.94184265 0.95371587]
 [0.02577681 0.91577282 0.1969686  0.3472482  0.23337827]
 [0.43563908 0.62308811 0.09606371 0.79053989 0.69382428]]

Delete the first column of the said array:
[[0.35710194 0.79167579 0.72249474 0.99968936]
 [0.31085825 0.09849254 0.11708716 0.45757945]
 [0.13587749 0.90455038 0.95146017 0.55716851]
 [0.84275698 0.84665943 0.06562172 0.58415968]
 [0.0660559  0.85270403 0.94184265 0.95371587]
 [0.91577282 0.1969686  0.3472482  0.23337827]
 [0.62308811 0.09606371 0.79053989 0.69382428]]

Delete the last column of the said array:
[[0.54420704 0.35710194 0.79167579 0.72249474]
 [0.22306352 0.31085825 0.09849254 0.11708716]
 [0.19381592 0.13587749 0.90455038 0.95146017]
 [0.62031347 0.84275698 0.84665943 0.06562172]
 [0.41903059 0.0660559  0.85270403 0.94184265]
 [0.02577681 0.91577282 0.1969686  0.3472482 ]
 [0.43563908 0.62308811 0.09606371 0.79053989]]