Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Functional Python Programming

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

Arrow left icon
Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
Arrow right icon
View More author details
Toc

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime