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Functional Python Programming

You're reading from   Functional Python Programming Create succinct and expressive implementations with functional programming in Python

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (18) Chapters Close

Preface 1. Introducing Functional Programming 2. Introducing Some Functional Features FREE CHAPTER 3. Functions, Iterators, and Generators 4. Working with Collections 5. Higher-order Functions 6. Recursions and Reductions 7. Additional Tuple Techniques 8. The Itertools Module 9. More Itertools Techniques 10. The Functools Module 11. Decorator Design Techniques 12. The Multiprocessing and Threading Modules 13. Conditional Expressions and the Operator Module 14. The PyMonad Library 15. A Functional Approach to Web Services 16. Optimizations and Improvements Index

Chapter 10. The Functools Module

Functional programming emphasizes functions as first class objects. We have many high-order functions that accept functions as arguments or return functions as results. In this chapter, we'll look at the functools library with some functions to help us create and modify functions.

We'll look at some higher-order functions in this chapter. Earlier, we looked at higher-order functions in Chapter 5, Higher-order Functions. We'll continue to look at higher-order function techniques in Chapter 11, Decorator Design Techniques, as well.

We'll look at the following functions in this module:

  • @lru_cache: This decorator can be a huge performance boost for certain types of applications.
  • @total_ordering: This decorator can help create rich comparison operators. However, it lets us look at the more general question of object-oriented design mixed with functional programming.
  • partial(): It creates a new function with some arguments applied to a...
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