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Functional Python Programming, 3rd edition - Third Edition

You're reading from  Functional Python Programming, 3rd edition - Third Edition

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781803232577
Pages 576 pages
Edition 3rd Edition
Languages
Author (1):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott

Table of Contents (18) Chapters

Preface
1. Chapter 1: Understanding Functional Programming 2. Chapter 2: Introducing Essential Functional Concepts 3. Chapter 3: Functions, Iterators, and Generators 4. Chapter 4: Working with Collections 5. Chapter 5: Higher-Order Functions 6. Chapter 6: Recursions and Reductions 7. Chapter 7: Complex Stateless Objects 8. Chapter 8: The Itertools Module 9. Chapter 9: Itertools for Combinatorics – Permutations and Combinations 10. Chapter 10: The Functools Module 11. Chapter 11: The Toolz Package 12. Chapter 12: Decorator Design Techniques 13. Chapter 13: The PyMonad Library 14. Chapter 14: The Multiprocessing, Threading, and Concurrent.Futures Modules 15. Chapter 15: A Functional Approach to Web Services 16. Other Books You Might Enjoy
17. Index

 12
Decorator Design Techniques

Python offers us many ways to create higher-order functions. In Chapter 5, Higher-Order Functions, we looked at two techniques: defining a function that accepts a function as an argument, and defining a subclass of Callable, which is either initialized with a function or called with a function as an argument.

One of the benefits of decorating functions is that it can create composite functions. These are single functions that embody functionality from several sources. It’s often helpful to have the decoration syntax as a way to express complex processing.

We can also use decorators to identify classes or functions, often building a registry—a collection of related definitions. We may not necessarily create a composite function when building a registry.

In this chapter, we’ll look at the following topics:

  • Using a decorator to build a function based on another function

  • The wraps() function in the functools module; this can...

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