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Functional Python Programming

Functional Python Programming

By : Steven F. Lott
4 (9)
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Functional Python Programming

Functional Python Programming

4 (9)
By: Steven F. Lott

Overview of this book

This book is for developers who want to use Python to write programs that lean heavily on functional programming design patterns. You should be comfortable with Python programming, but no knowledge of functional programming paradigms is needed.
Table of Contents (18 chapters)
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17
Index

Using the finite iterators


The itertools module provides a number of functions that we can use to produce finite sequences of values. We'll look at ten functions in this module, plus some related built-in functions:

  • enumerate(): This function is actually part of the __builtins__ package, but it works with an iterator and is very similar to other functions in the itertools module.

  • accumulate(): This function returns a sequence of reductions of the input iterable. It's a higher-order function and can do a variety of clever calculations.

  • chain(): This function combines multiple iterables serially.

  • groupby(): This function uses a function to decompose a single iterable into a sequence of iterables over subsets of the input data.

  • zip_longest(): This function combines elements from multiple iterables. The built-in zip() function truncates the sequence at the length of the shortest iterable. The zip_longest() function pads the shorter iterables with the given fillvalue.

  • compress(): This function...

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