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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

Available schedulers

The subscribe_on, observe_on, and factory operators take the scheduler object as a parameter. As its name implies, a scheduler is an object that is responsible for scheduling the emission of the items of an observable. Scheduling the emission means that, instead of calling the observer callbacks directly in the context of the observable, the emission of the items is transferred to another context. RxPY implement two kinds of scheduler: thread schedulers and event loop schedulers. However, the scheduler principle is very generic and it could be possible to implement much more specific schedulers, such as transferring execution to another IP of a chipset or even another device (even though these use cases should rather be implemented as drivers if the code is designed as functional and reactive).

Three schedulers are of interest when developing an AsyncIO application...

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