using linspace() and reshape() functions. We can use the following Python code to do the same:

import numpy

array3 = numpy.linspace(1, 12, 12, endpoint=True).reshape(2, 3, 2)
print(array3)
print(array3.shape)

The output of the above program will be like the following:

[[[ 1.  2.]
  [ 3.  4.]
  [ 5.  6.]]

 [[ 7.  8.]
  [ 9. 10.]
  [11. 12.]]]
(2, 3, 2)

So, array3 is a three-dimensional array that has 2, 3, and 2 elements across the three dimensions, respectively.