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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

More on Operators and Error Handling

In the previous chapter, we learned about operators and how to use them. We learned how operators can help us in solving complex problems with ease. We got a grip on operators and their types, and we learned basic filtering operators and transforming operators in detail. It's time to move on to some interesting and advanced things you can do with operators.

We will cover the following topics in this chapter:

  • Combining producers (Observable/Flowable)
  • Grouping emissions
  • Filtering/suppressing operators
  • Error handling operators
  • Real-world HTTP client example

So, what are we waiting for? Let's get started with combining producer (Observable/Flowable) instances.

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