Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

This post explains what a Python module is and how to use it to drastically extend the capabiltiies of your code. Plus: how to make your own!

In this section, we'll use the Seaborn library, which I've covered previously, to visualize statistical data with Python the way you would with a graphing calculator in a stats class.

Learn how to get Python up and running on Windows, macOS, or Linux—and avoid the biggest pitfalls along the way.

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.