Write a NumPy program to create a one dimensional array of forty pseudo-randomly generated values. Select random numbers from a uniform distribution between 0 and 1

import numpy as np  
np.random.seed(10)
print(np.random.rand(40))

Sample Output:

[0.77132064 0.02075195 0.63364823 0.74880388 0.49850701 0.22479665
 0.19806286 0.76053071 0.16911084 0.08833981 0.68535982 0.95339335
 0.00394827 0.51219226 0.81262096 0.61252607 0.72175532 0.29187607
 0.91777412 0.71457578 0.54254437 0.14217005 0.37334076 0.67413362
 0.44183317 0.43401399 0.61776698 0.51313824 0.65039718 0.60103895
 0.8052232  0.52164715 0.90864888 0.31923609 0.09045935 0.30070006
 0.11398436 0.82868133 0.04689632 0.62628715]