Learn Python by Building Data Science Applications

Summary

In this chapter, we learned about the basic and more advanced data structures in Python. We covered how to create, interact with, and operate on those structures. In addition to structures, we covered generators, which are functions that pretend to be iterable structures, and comprehensions, which are a concise and fast way to create and work with data structures. We also briefly touched on loops and if statements and learned how they work.

In the next chapter, we'll discuss different types of loops and statements, which will allow us to operate on datasets dynamically and embed logic into our code.