Skip main navigation

Hands-on: Random numbers

Generate random numbers in an array
© CC-BY-NC-SA 4.0 by CSC - IT Center for Science

In this exercise we practice creating arrays of random numbers.

Source code for this exercise is located in numpy/random-numbers/

Generate a one dimensional 1000 element array of uniformly distributed random
numbers using the numpy.random module.

  1. Calculate the mean and standard deviation of the array using numpy.mean()
    and numpy.std().
  2. Choose some other random distribution and calculate its mean and standard

You can visualize the random distributions with matplotlib’s hist()

import matplotlib.pyplot as plt

© CC-BY-NC-SA 4.0 by CSC - IT Center for Science
This article is from the free online

Python in High Performance Computing

Created by
FutureLearn - Learning For Life

Our purpose is to transform access to education.

We offer a diverse selection of courses from leading universities and cultural institutions from around the world. These are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life.

We believe learning should be an enjoyable, social experience, so our courses offer the opportunity to discuss what you’re learning with others as you go, helping you make fresh discoveries and form new ideas.
You can unlock new opportunities with unlimited access to hundreds of online short courses for a year by subscribing to our Unlimited package. Build your knowledge with top universities and organisations.

Learn more about how FutureLearn is transforming access to education