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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 FREE CHAPTER 2. Functional Programming with Kotlin and RxKotlin 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

Observables, Observers, and Subjects

Observables and subscribers are at the base of reactive programming. We can say that they are the building blocks of reactive programming. In the previous two chapters, you already got a glimpse of Observables and subject. We observed on data with observable/subject instances; but that's not all we want; instead, we want to get all the actions and data changes reactively into the observable instances, making the application completely reactive. Also, while reading the previous chapters, you may have wondered how exactly does it operate? In this chapter, let's have a foundation of the pillars of reactive programming—Observables, Observers, and subjects:

  • We will look into details of transforming various data sources to observable instances
  • You will learn about various types of Observables
  • How to use Observer instances and subscriptions...
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