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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

Functional programming design patterns

There are a number of common design patterns for functional programming. These are typical approaches to functional programming that are used in a variety of contexts. 

Note the important distinction from object-oriented design patterns. Many OO design patterns are designed to make management of state more explicit, or aid in composition of complex, emergent behavior. For functional design patterns, the focus is almost always on creating complex behavior from simpler pieces.

There are many common functional design approaches shown throughout this book. Most have not been presented with a particular name or story. In this section, we'll review a number of these patterns.

  • Currying: This can be called a partial function application and is implemented with the partial() function in the functools module. The idea is to create a...
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