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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

7.5 Using pyrsistent to collect data

In addition to Python’s NamedTuple and @dataclass definitions, we can also use the pyrsistent module to create more complex object instances. The huge advantage offered by the pyrsistent module is that the collections are immutable. Instead of updating in place, a change to a collection works through a general-purpose ”evolution” object that creates a new immutable object with the changed value. In effect, what appears to be a state-changing method is actually an operator creating a new object.

The following example shows how to import the pyrsistent module and create a mapping structure with names and values:

>>> import pyrsistent 
>>> v = pyrsistent.pmap({"hello": 42, "world": 3.14159}) 
>>> v  # doctest: +SKIP 
pmap({’hello’: 42, ’world’: 3.14159}) 
>>> v[’hello’] 
42 
>>> v[’world...
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