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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

Summary


In this chapter, we've looked at two ways to support the concurrent processing of multiple pieces of data:

  • The multiprocessing module: Specifically, the Pool class and the various kinds of mappings available to a pool of workers.
  • The concurrent.futures module: Specifically, the ProcessPoolExecutor and ThreadPoolExecutor classes. These classes also support a mapping that will distribute work among workers that are threads or processes.

We've also noted some alternatives that don't seem to fit in well with functional programming. There are numerous other features of the multiprocessing module, but they're not a good fit with functional design. Similarly, the threading and queue modules can be used to build multithreaded applications, but the features aren't a good fit with functional programs.

In the next chapter, we'll look at the operator module. This can be used to simplify some kinds of algorithm. We can use a built-in operator function instead of defining a Lambda form. We'll also...

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