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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

Creating observables

Most of the code of a ReactiveX application is composed of operators that are chained together. However, at some point, the source of these events must be exposed as observables. ReactiveX provides many ways to create an observable from any source of data. Many factory operators are already available to convert virtually any source of data or event to an observable, and, should none of these operators be applicable to a situation, it is possible to create an operator from custom code logic.

All of the factory operators in RxPY are implemented as static methods of the Observable class. This means that they are invoked by using Observable.xxx, where xxx is the factory operator, and they return an observable. Also, almost all of these operators take a scheduler as an optional parameter. A scheduler allows you to control how the items are emitted on the observable...

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