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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

Writing higher-order functions


We can identify three varieties of higher-order function; they are as follows:

  • Functions that accept a function as one of their arguments.
  • Functions that return a function. A Callable class is a common example of this. A function that returns a generator expression can be thought of as a higher-order function.
  • Functions that accept and return a function. The functools.partial() function is a common example of this. We'll save this for Chapter 10, The Functools Module. A decorator is different; we'll save this for Chapter 11, Decorator Design Techniques.

We'll expand on these simple patterns using a higher-order function to also transform the structure of the data. We can do several common transformations, such as the following:

  • Wrap objects to create more complex objects
  • Unwrap complex objects into their components
  • Flatten a structure
  • Structure a flat sequence

A Callable class object is a commonly used example of a function that returns a callable object. We'll look...

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