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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

Reducing sets of data with the reduce() function


The sum(), len(), max(), and min() functions are in a way all specializations of a more general algorithm expressed by the reduce() function. The reduce() function is a higher-order function that folds a function into each pair of items in an iterable.

A sequence object is given as follows:

d = [2, 4, 4, 4, 5, 5, 7, 9]

The function reduce(lambda x, y: x+y, d) will fold in + operators to the list as follows:

2+4+4+4+5+5+7+9

It can help to include () to show the effective left-to-right grouping as follows:

((((((2+4)+4)+4)+5)+5)+7)+9

Python's standard interpretation of expressions involves a left-to-right evaluation of operators. Consequently, a fold left isn't a change in meaning. Some functional programming languages offer a fold-right alternative. When used in conjunction with recursion, a compiler for another language can do a number of clever optimizations. This isn't available in Python: a reduction is always left to right.

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