In this chapter, we went through a comprehensive tour of the IPython Notebook Interface. We covered features that are used daily when working with the notebook, such as navigation, magics, interacting with the operating system, running scripts, and loading and saving data. We finished with a discussion of how to display richly formatted data in the notebook.

In the next chapter, you will learn how to use the matplotlib library to produce presentation-quality scientific graphs and data displays, with an emphasis on interactive graphs.