Gain insights into RxJava's principles, explore its integration into Android, and discover why it’s the leading reactive library for enhanced app development.

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RxJava

Since its inception in 2012, RxJava has slowly gained in popularity for enabling reactive programming on Android. It is now deemed as the go-to and leading reactive library. Many companies have adopted the reactive way of programming, including Google, with its release of Android Architecture Components, which has many reactive elements in its design.

In this course, you will learn the fundamental principles of RxJava which will serve as a foundation for experienced Android developers who are new to the library and want to start integrating it into their apps.

Reactive Programming with RxJava

**(True or False)** `Observable` objects are **not** designed to support backpressure.

(True or False) <code>Observable</code> objects are not designed to support backpressure.

Your platform doesn't support Java streams.

`Flowable` should be used over an `Observable` when:

<code>Flowable</code> should be used over an <code>Observable</code> when:

Which of the following is a backpressure strategy supported by `Flowable` that produces an error if an observer cannot keep up with emissions from an `Observable`? 

Which of the following is a backpressure strategy supported by <code>Flowable</code> that produces an error if an observer cannot keep up with emissions from an <code>Observable</code>?

Which of the following two options are recommended to notify a producer that it can consume more events?

Which of the following two options are recommended to notify a producer that it can consume more events?

What is the output of the code below?
```java
Observable.range(1,5)
  	  			.window(5)
  	  			.flatMapSingle(obs -> obs.reduce("", (t,n)-> t + (t.equals("") ? "" : ",")+ n))
  	  			.subscribe(System.out::println);
```

What is the output of the code below?
<pre><code class="language-java">Observable.range(1,5)
 	 			.window(5)
 	 			.flatMapSingle(obs -&gt; obs.reduce(&quot;&quot;, (t,n)-&gt; t + (t.equals(&quot;&quot;) ? &quot;&quot; : &quot;,&quot;)+ n))
 	 			.subscribe(System.out::println);
</code></pre>

Take this short quiz to test what you have learned about backpressure.

Getting Started

Part 1: RxJava Basics

Reactive Programming

RxJava Core Components

Operators

Multithreading

Part 2: RxJava Advanced

Reactive Modeling on Android

Backpressure

Error Handling

Conclusion

Quiz