More recently with numpy, side by side reviewed their usage.
1. Array
1.1 * n row m column generates a random array
Import numpy NP AS # generates m columns * n rows random array # np.random.random ((m, n-)) # generates a random array of 3 rows and 2 columns, it looks want bigger, later by 50 Print (np.random.random ((. 3, 2)) * 50)
2. Digital