np4.py

import numpy as np

x = np.arange(10)
# [0 1 2 3 4 5 6 7 8 9]

x = np.arange(4, 9)
# [4 5 6 7 8]

x = np.arange(3, 23, 4)
# [ 3  7 11 15 19]

x = np.linspace(0, 15, 10)
# [ 0.          1.66666667  3.33333333  5.          6.66666667  8.33333333 10.         11.66666667 13.33333333 15.        ]

x = np.linspace(0, 15)
# [ 0.          0.30612245  0.6122449   0.91836735  1.2244898   1.53061224
#   1.83673469  2.14285714  2.44897959  2.75510204  3.06122449  3.36734694
#   3.67346939  3.97959184  4.28571429  4.59183673  4.89795918  5.20408163
#   5.51020408  5.81632653  6.12244898  6.42857143  6.73469388  7.04081633
#   7.34693878  7.65306122  7.95918367  8.26530612  8.57142857  8.87755102
#   9.18367347  9.48979592  9.79591837 10.10204082 10.40816327 10.71428571
#  11.02040816 11.32653061 11.63265306 11.93877551 12.24489796 12.55102041
#  12.85714286 13.16326531 13.46938776 13.7755102  14.08163265 14.3877551
#  14.69387755 15.        ]

x = np.arange(20)
# [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19]

x = np.reshape(x, (4, 5))
# [[ 0  1  2  3  4]
#  [ 5  6  7  8  9]
#  [10 11 12 13 14]
#  [15 16 17 18 19]]

x = np.random.random((2, 3))
# [[0.16605343 0.75125611 0.44105574]
#  [0.10625777 0.91500736 0.36847429]]

x = np.random.randint(2, 12, size=(2, 3))
# [[ 7  4 10]
#  [ 3  2  8]]