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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 2. Introducing Some Functional Features FREE CHAPTER 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

Reducing sets of data with reduce()


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

Including () can show the effective 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. The fold left isn't a big change in meaning.

We can also provide an initial value as follows:

reduce(lambda x,y: x+y**2, iterable, 0)

If we don't, the initial value from the sequence is used as the initialization. Providing an initial value is essential when there's a map() function as well as a reduce() function. Following is how the right answer is computed...

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