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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

An overview of function varieties


We need to distinguish between two broad species of functions, as follows:

  • Scalar functions apply to individual values and compute an individual result. Functions such as abs(), pow(), and the entire math module are examples of scalar functions.

  • Collection() functions work with iterable collections.

We can further subdivide the collection functions into three subspecies:

  • Reduction: This uses a function that is used to fold values in the collection together, resulting in a single final value. We can call this an aggregate function, as it produces a single aggregate value for an input collection.

  • Mapping: This applies a function to all items of a collection; the result is a collection of the same size.

  • Filter: This applies a function to all items of a collection that rejects some items and passes others. The result is a subset of the input. A filter might do nothing, which means that the output matches the input; this is an improper subset, but it still fits...

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