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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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Concepts
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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 some of the key principles of reactive programming. We looked at the key differences between both reactive programming and typical event-driven programming, and we dived deeper into the specifics of the very popular RxPY Python library. We covered observers and observables, emitting events, and multicasting to numerous subscribers.

Hopefully, by now, you have an appreciation of some of the nuances of reactive programming, and you'll now be able to piece together your own reactive systems. You should also have some insight into how you can construct functional programs using Python, using this newly covered topic of operators in conjunction with PyFunctional.

In the next chapter, we'll discuss how you can improve the performance by leveraging the true power of your graphics card to perform tasks such as data analysis and research into...

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