Functional Python Programming

Summary

In this chapter, we saw detailed ways to use a number of built-in reductions.

We've used any() and all() to do essential logic processing. These are tidy examples of reductions using a simple operator such as or or and.

We've also looked at numeric reductions such as len() and sum(). We've applied these functions to create some higher-order statistical processing. We'll return to these reductions in Chapter 6, Recursions and Reductions.

We've also looked at some of the built-in mappings.

The zip() function merges multiple sequences. This leads us to look at using this in the context of structuring and flattening more complex data structures. As we'll see in examples in later chapters, nested data is helpful in some situations and flat data ...