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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Summary

In this chapter, we covered the paradigm of event-driven programming before covering how asyncio works and how we can use it for our own event-driven Python systems.

We went in depth into the asyncio module and the various ways you can do things such as construct your event loops, chain coroutines within this loop, and set up event handlers, to name but a few things.

In the next chapter, we'll look at how you can create reactive programs using the powerful RxPy module and cover how the reactive programming paradigm differs from your typical event-based programs.

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