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Functional Python Programming

You're reading from   Functional Python Programming Create succinct and expressive implementations with functional programming in Python

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784396992
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (18) Chapters Close

Preface 1. Introducing Functional Programming 2. Introducing Some Functional Features FREE CHAPTER 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 Index

Function tools


We looked at a number of higher-order functions in Chapter 5, Higher-order Functions. These functions either accepted a function as an argument or returned a function (or generator expression) as a result. All these higher-order functions had an essential algorithm which was customized by injecting another function. Functions like max(), min(), and sorted() accepted a key= function that customized their behavior. Functions like 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 kept. In the case of the filter() function, the Boolean result of the function is used to pass or reject values from the iterable.

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 must be introduced...

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