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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

9.6 Recipes

The itertools chapter of the Python library documentation is outstanding. The basic definitions are followed by a series of recipes that are extremely clear and helpful. Since there’s no reason to reproduce these, we’ll reference them here. They are required reading materials on functional programming in Python.

The Itertools Recipes section in the Python Standard Library is a wonderful resource. Visit https://docs.python.org/3/library/itertools.html#itertools-recipes for more details.

These function definitions aren’t importable functions in the itertools modules. These are ideas that need to be read and understood and then, perhaps, copied or modified before inclusion in an application.

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

Function Name

Arguments

Results

powerset

(iterable)

Generate all the subsets of the iterable. Each subset is a tuple object...

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