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Reactive programming with kotlin
Reactive programming with kotlin










reactive programming with kotlin

⦁ Learn how to solve blocking user experience with Reactive Programming and get deep insights into RxKotlin

reactive programming with kotlin

Use backpressure management and Flowables ⦁ Use testSubscriber to test RxKotlin applications ⦁ Build Rest APIs with Spring,Hibernate, and RxKotlin ⦁ Create your own custom operators in RxKotlin ⦁ Gain in-depth knowledge in RxKotlin 2.0 and the ReactiveX Framework ⦁ Learn about reactive programming paradigms and how reactive programming can improve your existing projects By the end of the book, you will be able to build real-world applications with reactive user interfaces as well as you’ll learn to implement reactive programming paradigms in Android. This book will also take you one step forward by introducing you to spring 5 and spring boot 2 using Kotlin. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Kotlin. You will dive into advanced techniques such as manipulating time in data-flow, customizing operators and provider and how to Use the concurrency model to control asynchronicity of code and process event handlers effectively. You will begin with the general concepts of Reactive programming and then gradually move on to working with asynchronous data streams. With this practical book, Kotlin developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm. RxJava presumes the usage of a lot anonymous classes and GC will have more job to do and memory leaks in case of issues in your code.In today’s app-driven era, when programs are asynchronous, and responsiveness is so vital, reactive programming can help you write code that’s more reliable, easier to scale, and better-performing. RxBindings should not affect UI performance on modern devices. a lot of simple libraries logic now can be replaced by kotlin syntax and here are a few examples: infix fun V.onClick(block: V.() -> Unit) = setOnClickListener ) For complex stream logic RxJava for sure beats kotlin features.īack to RxBinding. Of course RxJava cannot be replaced fully by kotlin functionality, they have a lot of useful operators like throttle, concatenation, zip, share, combineLatest etc. Now kotlin in combination with coroutines and flow api can replace old Rx approaches. Now we have kotlin which offer a more better functional style with great standard api (streams inclusive). In combination with old retrolambda plugin(desugar task later) Rx brings to java 7 all stream features and a functional programming flavors. One of the main reasons why Rx becomes popular on android is java 7(lack of collections stream api and lambdas).












Reactive programming with kotlin