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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

4.7 Using enumerate() to include a sequence number

Python offers the enumerate() function to apply index information to values in a sequence or iterable. It performs a specialized kind of wrap that can be used as part of an unwrap(process(wrap(data))) design pattern.

It looks like the following code snippet:

>>> xi[:3] 
[1.47, 1.5, 1.52] 
>>> len(xi) 
15 
 
>>> id_values = list(enumerate(xi)) 
>>> id_values[:3] 
[(0, 1.47), (1, 1.5), (2, 1.52)] 
>>> len(id_values) 
15

The enumerate() function transformed each input item into a pair with a sequence number and the original item. It’s similar to the following:

zip(range(len(source)), source)

An important feature of enumerate() is that the result is an iterable and it works with any iterable input.

When looking at statistical processing, for example, the enumerate() function comes in handy to transform a single sequence of values into a...

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