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Functional Python Programming, 3rd edition

You're reading from   Functional Python Programming, 3rd edition Use a functional approach to write succinct, expressive, and efficient Python code

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803232577
Length 576 pages
Edition 3rd 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. Chapter 1: Understanding Functional Programming FREE CHAPTER 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

10.1 Function tools

We looked at a number of higher-order functions in Chapter 5, Higher-Order Functions. Those functions either accept a function as an argument or return a function (or generator expression) as a result. All those higher-order functions have an essential algorithm that is customized by injecting another function. Functions such as max(), min(), and sorted() accept a key= function to customize their behavior. Functions such as map() and filter() accept a function and an iterable and apply the given function to the argument iterable. In the case of the map() function, the results of the function are simply yielded. In the case of the filter() function, the Boolean result of the function is used to yield or reject values from an iterable source.

All the functions in Chapter 5, Higher-Order Functions, are part of the Python __builtins__ package, meaning these functions are available without the need to use the import statement. They were made ubiquitous because...

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