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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 FREE CHAPTER 2. Introducing Some Functional Features 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

Chapter 8. The Itertools Module

Functional programming emphasizes stateless programming. In Python this leads us to work with generator expressions, generator functions, and iterables. In this chapter, we'll look at the itertools library with numerous functions to help us work with iterable collections.

We introduced iterator functions in Chapter 3, Functions, Iterators, and Generators. In this chapter, we'll expand on that superficial introduction. We used some related functions in Chapter 5, Higher-order Functions.

Note

Some of the functions merely behave like they are proper, lazy Python iterables. It's important to look at the implementation details for each of these functions. Some of them create intermediate objects, leading to the potential of consuming a large amount of memory. Since implementations might change with Python releases, we can't provide function-by-function advice here. If you have performance or memory issues, ensure that you check the implementation...

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