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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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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 (22) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Understanding Functional Programming 2. Introducing Essential Functional Concepts 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 1. Other Books You May Enjoy Index

Functional programming and concurrency


The most effective concurrent processing occurs where there are no dependencies among the tasks being performed. The biggest difficulty in developing concurrent (or parallel) programming is coordinating updates to shared resources.

When following functional design patterns, we tend to avoid stateful programs. A functional design should minimize or eliminate concurrent updates to shared objects. If we can design software where lazy, non-strict evaluation is central, we can also design software where concurrent evaluation is helpful. This can lead to embarrassingly parallel design, where most of the work can be done concurrently with few or no interactions among computations.

Dependencies among operations are central to programming. In the 2*(3+a) expression, the (3+a) subexpression must be evaluated first. The overall value of the expression depends on the proper ordering of the two operations.

When working with a collection, we often have situations where...

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