Most people have their first exposure to Jupyter Notebook by way of a data visualization, a shared notebook that includes a rendering of some data set as a graphic.

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.

The open-source tool, now known as the Jupyter Notebook, has become an exceedingly popular piece of data-science kit, with millions of notebooks deposited to the GitHub code-sharing site.