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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

4.1 An overview of function varieties

We need to distinguish between two broad species of functions, as follows:

  • Scalar functions: These apply to individual values and compute an individual result. Functions such as abs(), pow(), and the entire math module are examples of scalar functions.

  • Collection functions: These work with iterable collections.

We can further subdivide these collection functions into three subspecies:

  • Reduction: This uses a function to fold values in the collection together, resulting in a single final value. For example, if we fold + operations into a sequence of integers, this will compute the sum. This can be also be called an aggregate function, as it produces a single aggregate value for an input collection. Functions like sum() and len() are examples of reducing a collection to a single value.

  • Mapping: This applies a scalar function to each individual item of a collection; the result is a collection of the same size. The built-in map() function does this...

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