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Learning RxJava

You're reading from   Learning RxJava Reactive, Concurrent, and responsive applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787120426
Length 400 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Toc

Table of Contents (14) Chapters Close

Preface 1. Thinking Reactively FREE CHAPTER 2. Observables and Subscribers 3. Basic Operators 4. Combining Observables 5. Multicasting, Replaying, and Caching 6. Concurrency and Parallelization 7. Switching, Throttling, Windowing, and Buffering 8. Flowables and Backpressure 9. Transformers and Custom Operators 10. Testing and Debugging 11. RxJava on Android 12. Using RxJava for Kotlin New Appendix

Using let() and apply()

In Kotlin, every type has a let() and apply() extension function. These are two simple but helpful tools to make your code more fluent and expressive.

Using let()

let() simply accepts a lambda that maps the invoked object T to another object R. It is similar to how RxJava offers the to() operator, but it applies to any type T and not just Observables/Flowables. For example, we can call let() on a string that has been lowercased and then immediately do any arbitrary transformation on it, such as concatenating its reversed() string to it. Take a look at this operation:

fun main(args: Array<String>) {

val str = "GAMMA"

val lowerCaseWithReversed = str.toLowerCase().let...
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