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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Chapter 13. Concurrency

Concurrency and one of its manifestations—parallel processing—is one of the broadest topics in the area of software engineering. Most of the chapters in this book also cover vast areas, and almost all of them could be big enough topics for a separate book. But the topic of concurrency by itself is so huge that it could take dozens of positions and we would still not be able to discuss all of its important aspects and models.

This is why I won't try to fool you, and from the very beginning state that we will barely touch the surface of this topic. The purpose of this chapter is to show why concurrency may be required in your application, when to use it, and what are the most important concurrency models that you may use in Python:

  • Multithreading
  • Multiprocessing
  • Asynchronous programming

We will also discuss some of the language features, built-in modules, and third-party packages that allow you to implement these models in your code. But we...

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