Random Numbers
Explore how to generate random numbers and sequences using NumPy's random submodule. Learn to use functions like randint and choice, understand the role of seeds for reproducibility, and prepare for further lessons on random variables in scientific computing.
We'll cover the following...
We'll cover the following...
Generating random numbers #
A random number generator lets you draw a random number from a specified distribution. Several random number generators are included in the random subpackage of numpy. We will import this package as rnd to save some typing.
import numpy.random as rnd
One of the examples for random number generators is the randint() function. The randint(low, high, size) function returns an array consisting of size integers, each is drawn randomly from low up to, but not including, high. ...