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Functional Python Programming

You're reading from   Functional Python Programming Create succinct and expressive implementations with functional programming in Python

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (18) Chapters Close

Preface 1. Introducing Functional Programming FREE CHAPTER 2. Introducing Some Functional Features 3. Functions, Iterators, and Generators 4. Working with Collections 5. Higher-order Functions 6. Recursions and Reductions 7. Additional Tuple Techniques 8. The Itertools Module 9. More Itertools Techniques 10. The Functools Module 11. Decorator Design Techniques 12. The Multiprocessing and Threading Modules 13. Conditional Expressions and the Operator Module 14. The PyMonad Library 15. A Functional Approach to Web Services 16. Optimizations and Improvements Index

Using sorted() to put data in order


When we need to produce results in a defined order, Python gives us two choices. We can create a list object and use the list.sort() method to put items in an order. An alternative is to use the sorted() function. This function works with any iterable, but it creates a final list object as part of the sorting operation.

The sorted() function can be used in two ways. It can be simply applied to collections. It can also be used as a higher-order function using the key= argument.

Let's say we have our trip data from the examples in Chapter 4, Working with Collections. We have a function that will generate a sequence of tuples with start, end, and distance for each leg of a trip. The data looks as follows:

(((37.54901619777347, -76.33029518659048), (37.840832, -76.273834), 17.7246), ((37.840832, -76.273834), (38.331501, -76.459503), 30.7382), ((38.331501, -76.459503), (38.845501, -76.537331), 31.0756), ((36.843334, -76.298668), (37.549, -76.331169), 42.3962...
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