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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

An overview of function varieties


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

  • Scalar functions: They 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: They work with iterable collections.

We can further subdivide the collection functions into three subspecies:

  • Reduction: This uses a function to fold values in the collection together, resulting in a single final value. For example, if we fold (+) operations into a sequence of integers, this will compute the sum. This can be also be called an aggregate function, as it produces a single aggregate value for an input collection.
  • Mapping: This applies a scalar function to each individual item of a collection; the result is a collection of the same size.
  • Filter: This applies a scalar function to all items of a collection to reject some items and pass others. The result is a subset of the input. 

We...

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