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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

7.2 Using NamedTuple to collect data

The second technique for collecting data into a complex structure is typing.NamedTuple. The idea is to create a class that is an immutable tuple with named attributes. There are two variations available:

  • The namedtuple function in the collections module.

  • The NamedTuple base class in the typing module. We’ll use this almost exclusively because it allows explicit type hinting.

In the following examples, we’ll use nested NamedTuple classes such as the following:

from typing import NamedTuple 
 
class PointNT(NamedTuple): 
    latitude: float 
    longitude: float 
 
class LegNT(NamedTuple): 
    start: PointNT 
    end: PointNT 
    distance: float

This changes the data structure from simple anonymous tuples to named tuples with type hints provided for each attribute. Here’s an example...

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