Summary

JupyterLab and NumPy are for data scientists what a hacksaw and nail gun are for carpenters. Is using those two things by themselves carpentry? Not exactly, but they are vital tools that you will need in order to be able to achieve the work you want to. This is the same for data science – JupyterLab and NumPy don't cover everything, but they are two things that are going to play an important role in what you are trying to get done.

In this chapter, we discovered how to launch Jupyter notebooks from Anaconda Navigator and how to easily break down work into small chunks and evaluate the parts bit by bit. We saw that you can use a bit of line and cell magic to perform some special actions such as timing a function or operations. We also looked at some ways to speed up operations to save you valuable time. Finally, we saw how execution order matters and that you can use that as a powerful tool to explore.

We also looked at how NumPy can basically be used as a...