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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 max() and min() to find extrema

The max() and min() functions each have a dual life. They are simple functions that apply to collections. They are also higher-order functions. We can see their default behavior as follows:

>>> max(1, 2, 3)
3
>>> max((1,2,3,4))
4  

Both functions will accept an indefinite number of arguments. The functions are designed to also accept a sequence or an iterable as the only argument and locate max (or min) of that iterable.

They also do something more sophisticated. 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 that 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...
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