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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

Function tools


We looked at a number of higher-order functions in Chapter 5, Higher-Order Functions. Those functions either accepted a function as an argument or returned a function (or generator expression) as a result. All those higher-order functions had an essential algorithm that was customized by injecting another function. Functions such as max(), min(), and sorted() accepted a key= function that customized their behavior. Functions such as map() and filter() accept a function and an iterable and apply this function to the arguments. In the case of the map() function, the results of the function are simply yielded. In the case of the filter() function, the Boolean result of the function is used to pass or reject values from an iterable source.

All the functions in Chapter 5, Higher-Order Functions, are part of the Python __builtins__ package, they're available without the need to do an import. They are ubiquitous because they are so universally useful. The functions in this chapter...

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