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Mastering Reactive JavaScript

You're reading from   Mastering Reactive JavaScript Building asynchronous and high performing web apps with RxJS

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463388
Length 310 pages
Edition 1st Edition
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Author (1):
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Erich de Souza Oliveira Erich de Souza Oliveira
Author Profile Icon Erich de Souza Oliveira
Erich de Souza Oliveira
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Table of Contents (12) Chapters Close

Preface 1. What Does Being Reactive Mean? FREE CHAPTER 2. Reacting for the First Time 3. A World Full of Changes - Reactive Extensions to the Rescue 4. Transforming Data - Map, Filter, and Reduce 5. The World Changes Too Fast - Operators to Deal with Backpressure 6. Too Many Sources - Combining Observables 7. Something is Wrong - Testing and Dealing with Errors 8. More about Operators 9. Composition 10. A Real-Time Server 11. A Real-Time Client

The bacon.js observables

In functional reactive programming, an observable is an object where you can listen for events. This way, you can, for instance, create an observable for a button and then listen and act when a click happens.

The bacon.js gives you two flavors of an observable: the first one is EventStream and the other is Property. We will see the difference between the two objects later. To listen to events in an observable (or subscribe to an observable), you can use the onValue()method with a callback. So if you want to log every event in an EventStream, you can use the following code:

myEventStream.onValue(function(event){ 
console.log(event);
});
We will see how to create an EventStream in more detail later.

As we saw in the example in the last chapter, we can transform our observable using bacon.js operators. These operators let us filter, combine, map, buffer, and do a lot of other interesting...

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