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Reactive Programming in Kotlin

You're reading from   Reactive Programming in Kotlin Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788473026
Length 322 pages
Edition 1st Edition
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Author (1):
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Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
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Table of Contents (13) Chapters Close

Preface 1. A Short Introduction to Reactive Programming 2. Functional Programming with Kotlin and RxKotlin FREE CHAPTER 3. Observables, Observers, and Subjects 4. Introduction to Backpressure and Flowables 5. Asynchronous Data Operators and Transformations 6. More on Operators and Error Handling 7. Concurrency and Parallel Processing in RxKotlin with Schedulers 8. Testing RxKotlin Applications 9. Resource Management and Extending RxKotlin 10. Introduction to Web Programming with Spring for Kotlin Developers 11. REST APIs with Spring JPA and Hibernate 12. Reactive Kotlin and Android

Operator

When we started with programming for the first time, we learned about operators. We learned that operators are those special characters/sequence of characters that perform some specific tasks on the operands and return the final results. In the reactive world, the definition remains merely the same; they take one or more Observable/Flowable as operands, transform them, and return the resultant Observable/Flowable.

Operators work such as a consumer to the preceding Observable/Flowable, listen to their emissions, transform them, and emit them to the downstream consumer. For instance, think of the map operator, it listens to the upstream producer, performs some operations on their emissions, and then emits those modified items to the downstream.

Operators help us leverage and express business logic and behaviors. There are a lot of operators available with RxKotlin. Throughout...

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