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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

Chapter 9

How can you print something each time an item is emitted?

It is possible to implement a side-effect without changing the items emitted on an operator chain by using the do_action operator. This operator allows us to call a function on each event type received from its source observable.

How can you compute a value from all the items of an observable?

Two operators can be used to compute a value from all items emitted on an observable: the scan and the reduce operators. Both operators call a function for each item, with an accumulator as input (on top of the item itself). This function must return the updated value of the accumulator.

The difference between scan and reduce is that scan emits the value of the accumulator for each item, while reduce only emits the value when the source observable completes.

How can you subscribe to the latest observable emitted by a higher...

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