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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
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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

Why concurrency is necessary

In simpler times, computers had only one CPU and this marginalized the need for concurrency. Hardware manufacturers successfully found ways to make CPUs faster, and this made single-threaded programs faster. But eventually, this had a diminishing return, and manufacturers found they could increase computational power by putting multiple CPUs in a device. From desktops and laptops to servers and smartphones, most hardware nowadays sports multiple CPUs, or cores.

For developers, this is a major disruption in building software and how coding is done. Single-threaded software is easier to code and works fine on a single-core device. But a single-threaded program on a multi-core device will only use one core, leaving the others not utilized. If you want your program to scale, it needs to be coded in a way that utilizes all cores available in a processor...

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