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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

2.2 Immutable data

Since we’re not using variables to track the state of a computation, our focus needs to stay on immutable objects. We can make extensive use of tuples, typing.NamedTuples, and frozen @dataclass to provide more complex data structures that are also immutable. We’ll look at these class definitions in detail in Chapter 7, Complex Stateless Objects.

The idea of immutable objects is not foreign to Python. Strings and tuples are two widely-used immutable objects. There can be a performance advantage to using immutable tuples instead of more complex mutable objects. In some cases, the benefits come from rethinking the algorithm to avoid the costs of object mutation.

As an example, here’s a common design pattern that works well with immutable objects: the wrapper() function. A list of tuples is a fairly common data structure. We will often process this list of tuples in one of the two following ways:

  • Using higher-order functions: As shown earlier...

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