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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

Error handling

ReactiveX provides several ways to deal with errors. As explained in Chapter 1, An Introduction to Reactive Programming, errors are not special in a ReactiveX code flow. Rather, an error in ReactiveX is one possible way to end an observable. The other way is to complete it (which means that it has succeeded). There are two ways to deal with errors, depending on where the error is caught in the operators chain, as follows:

  • An observer handles errors in its on_error callback or method
  • A chain of operators can use dedicated operators to deal with errors

The first case is something that must be done in all cases. If a single observer does not handle errors then the errors go to a black hole. This is an easy way to waste hours trying to debug some code and finally see that the error was just silently dropped. If handling the errors is not obvious, then a log is the...

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