Chapter Summary

This chapter wrapped up our coverage of built-in comprehension and iteration tools. It explored list comprehensions in the context of functional tools and presented generator functions and expressions as additional iteration protocol tools. As a finale, we also measured the performance of iteration alternatives, and we closed with a review of common function-related mistakes to help you avoid pitfalls.

This concludes the functions part of this book. In the next part, we will study modules—the topmost organizational structure in Python, and the structure in which our functions always live. After that, we will explore classes, tools that are largely packages of functions with special first arguments. As we’ll see, user-defined classes can implement objects that tap into the iteration protocol, just like the generators and iterables we met here. Everything we have learned in this part of the book will apply when functions pop up later in the context of class methods.

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Before moving on to modules, though, be sure to work through this chapter’s quiz and the exercises for this part of the book, to practice what we’ve learned about functions here.