# Prime Locations Problem¶

Given a 10x10x10 array of zeros, set (i,j,k) = 1 if i is odd, j is even, and k is prime.

In other words, set these elements to 1: (1,0,2), (1,0,3), (1,0,5), (1,0,7), (1,2,2), ...

import numpy as np

chewy = np.zeros((10,10,10))

print(chewy)
# [[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]
#
#  [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
#   [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]]