Search icon CANCEL
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 Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788627061
Length 408 pages
Edition 2nd Edition
Languages
Arrow right icon
Toc

Table of Contents (18) Chapters Close

Preface 1. Understanding Functional Programming FREE CHAPTER 2. Introducing Essential Functional Concepts 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 17. Other Books You May Enjoy

The itertools recipes


Within the itertools chapter of the Python library documentation, there's a subsection called Itertools Recipes, which contains outstanding examples of ways to use the various itertools functions. Since there's no reason to reproduce these, we'll reference them here. They should be considered as required reading on functional programming in Python.

Note

The 10.1.2 section, Itertools Recipes of Python Standard Library, is a wonderful resource. For more information visit: https://docs.python.org/3/library/itertools.html#itertools-recipes.

It's important to note that these aren't importable functions in the itertools modules. A recipe needs to be read and understood and then, perhaps, copied or modified before it's included in an application.

The following table summarizes some of the recipes that show functional programming algorithms built from the itertools basics:

Function Name

Arguments

Results

take

(n, iterable)

This returns the first n items of the iterable as a list. This...

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