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Functional Python Programming

You're reading from   Functional Python Programming Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788627061
Length 408 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Preface 1. Understanding Functional Programming FREE CHAPTER 2. Introducing Essential Functional Concepts 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 17. Other Books You May Enjoy

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...
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