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Hands-On Reactive Programming with Python

You're reading from   Hands-On Reactive Programming with Python Event-driven development unraveled with RxPY

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789138726
Length 420 pages
Edition 1st Edition
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Author (1):
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Romain Picard Romain Picard
Author Profile Icon Romain Picard
Romain Picard
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Table of Contents (16) Chapters Close

Preface 1. An Introduction to Reactive Programming FREE CHAPTER 2. Asynchronous Programming in Python 3. Functional Programming with ReactiveX 4. Exploring Observables and Observers 5. Concurrency and Parallelism in RxPY 6. Implementation of an Audio Transcoding Server 7. Using Third-Party Services 8. Dynamic Reconfiguration and Error Management 9. Operators in RxPY 10. Testing and Debugging 11. Deploying and Scaling Your Application 12. Reactive Streams for Remote Communication 13. A Checklist of Best Practices 14. Assessments 15. Other Books You May Enjoy

Summary

This chapter described how to deal with two issues that can happen when writing an asynchronous application: dealing with CPU-intensive tasks and dealing with blocking tasks. Solutions to both problems can be handled via schedulers and two operators: subscribe_on and observe_on. Schedulers are objects that allow us to control on which execution context the ReactiveX operators will run. A chain of operators can use as many different execution contexts as needed.

Using schedulers allows us to keep a synchronous-like code style. With their API, it is possible to execute each operator of a chain on different threads. ReactiveX and RxPY provide a very developer-friendly syntax that makes multithreading easier to use than with most other libraries and frameworks.

The three schedulers that have been detailed in the second part of this chapter are the only ones that should be...

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