In this chapter, we looked into the details of the Jupyter user interface: what objects does it work with, what actions can be taken by Jupyter, what does the display tell us about the data, and what tools are available? Next, we looked at some real-life examples from industry showing R and Python coding from several industries. Then we saw some of the ways to share our notebook with other users and, correspondingly, how to protect our notebook with different security mechanisms.
In the next chapter, we will see how far we can go using Python in a Jupyter Notebook.
