#RxJava

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[codeline24]

Two paradigms rule programming: imperative and declarative.

Declarative emerged to address imperative's drawbacks. The imperative paradigm, also known as the procedural, is the oldest and most widely used approach to programming. It's like giving step-by-step instructions to a computer, telling it what to do and how to do it, one command at a time. It's called "imperative" because as programmers we dictate exactly what the computer has to do, in a very specific way. Declarative programming is the direct opposite of imperative programming in the sense that the programmer doesn't give instructions about how the computer should execute the task, but rather on what result is needed. Two main subcategories are functional and reactive programming. Functional programming is all about functions (procedures with a specific set of functionalities) and they can be assigned to variables, passed as arguments, and returned from other functions. Java offers libraries and frameworks that introduce functional programming concepts like lambda expressions and streams. Reactive programming is a programming paradigm where the focus is on developing asynchronous and non-blocking components. Back in the year 2013, a team of developers, lead by Jonas Boner, came together to define a set of core principles in a document known as the Reactive Manifesto. With reactive streams initiatives that are incorporated in Java specifications there are frameworks (RxJava, Akka Streams, Spring WebFlux..) that provide reactive paradigm implementation to Java.

[codezup]

Android MVP Pattern in Kotlin: Using Bloc and RxJava for a Scalable Architecture

Introduction The Android Model-View-Presenter (MVP) pattern is a widely adopted architectural approach to design android applications. In this tutorial, we will focus on implementing MVP using Bloc and RxJava to create a scalable architecture. By the end of this tutorial, you will have a comprehensive understanding of the MVP pattern, how to use Bloc and RxJava, and how to apply them to a…

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Android - Senior Software Engineer

engineers with sound knowledge in Android native application development using Kotlin, Rxjava, coroutines & its frameworks…. Requirements: Designs and codes features for the Android application as per the specifications provided by Product and Design… Apply Now

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🌟 10 Must-Have Android Development Tools & Libraries That Will Revolutionize Your Coding Game! 🚀

As an Android developer, having the right set of tools and libraries can significantly enhance your productivity and the quality of your applications. In this blog post, we'll explore ten essential tools and libraries that will take your Android development to the next level.

1. Android Studio

The official Integrated Development Environment (IDE) for Android development, Android Studio is packed with features like code editing, debugging, and testing tools. With its robust IntelliJ IDEA foundation, it provides a seamless and powerful environment for building high-quality Android apps.

Key Features:

Intelligent code editor with auto-completion

Advanced code refactoring and analysis tools

Visual layout editor

Built-in emulator for testing

Support for Kotlin, Java, and C++

2. Kotlin

Kotlin is a modern, statically typed programming language that is fully interoperable with Java. It offers concise syntax, improved type inference, and enhanced null safety, making it a favorite among Android developers.

Key Benefits:

Reduced boilerplate code

Improved readability and maintainability

Fully supported by Google for Android development

3. Retrofit

Retrofit is a type-safe HTTP client for Android and Java, developed by Square. It simplifies the process of making API calls, handling responses, and parsing JSON data.

Key Features:

Easy integration with REST APIs

Supports request and response serialization

Built-in support for authentication and headers

4. Room

Room is a part of the Android Jetpack suite, providing an abstraction layer over SQLite to allow fluent database access while harnessing the full power of SQLite.

Key Features:

Simplified database operations

Compile-time verification of SQL queries

Integration with LiveData and Flow for reactive programming

5. Dagger

Dagger is a fully static, compile-time dependency injection framework for Java and Android. It helps manage complex dependency graphs in large applications.

Key Benefits:

Compile-time validation of dependencies

Reduction in boilerplate code

Improved performance with optimized generated code

6. Glide

Glide is a fast and efficient image loading library for Android. It focuses on smooth scrolling and supports fetching, decoding, and displaying video stills, images, and animated GIFs.

Key Features:

Memory and disk caching

Automatic image resizing and transformations

Simple API for loading images from various sources

7. Firebase

Firebase is a comprehensive app development platform provided by Google. It offers a suite of cloud-based tools and services to help you build high-quality apps.

Key Features:

Real-time database and Firestore for data storage

Authentication services

Analytics for tracking user behavior

Cloud messaging for push notifications

8. RxJava

RxJava is a library for composing asynchronous and event-based programs using observable sequences. It helps manage asynchronous operations in a clean and concise way.

Key Benefits:

Simplifies threading and scheduling

Composable operations for handling complex asynchronous logic

Integration with Retrofit for API calls

9. LeakCanary

LeakCanary is a memory leak detection library for Android. It automatically detects memory leaks in your app and provides detailed information to help you fix them.

Key Features:

Automatic detection and reporting of memory leaks

Easy integration and setup

Detailed leak trace to identify the source of the leak

10. Espresso

Espresso is a testing framework for Android that makes it easy to write reliable user interface tests. It provides a simple and consistent API to simulate user interactions.

Key Features:

Fast and reliable UI tests

Automatic synchronization with the UI thread

Support for writing concise and readable tests

Conclusion

Incorporating these tools and libraries into your Android development workflow will not only improve your coding efficiency but also enhance the performance and quality of your applications. Whether you're a seasoned developer or just starting, these must-have tools will revolutionize your coding game and help you build better Android apps. Happy coding! 🚀

Feel free to share your experiences with these tools or suggest any other essential tools in the comments below!

[skilliqcourse]

Top Kotlin Android Libraries Every Developer Should Use in 2024

In this world of Android development, leveraging the right libraries can significantly enhance productivity and the overall quality of your apps. As Kotlin continues to solidify its position as the preferred language for Android development, numerous libraries have emerged to simplify complex tasks and accelerate development processes. Here’s a look at the top Kotlin Android libraries every developer should use in 2024:

1. Kotlin Coroutines

Kotlin Coroutines have revolutionized asynchronous programming in Android, making it easier to manage background tasks and improve app performance. With coroutines, you can write clean, readable, and maintainable code for handling tasks like network requests, database operations, and animations without the complexity of callbacks or RxJava.

2. Jetpack Compose

Jetpack Compose is Google’s modern toolkit for building native UI. It simplifies UI development by using declarative programming and integrates seamlessly with Kotlin. Compose enables developers to create dynamic, responsive, and beautiful user interfaces with less code, significantly speeding up the development process.

3. Ktor

Ktor is a powerful asynchronous framework for building connected applications. Whether you need to make API calls, handle WebSocket connections, or serve as a backend server, Ktor's flexibility and Kotlin-first approach make it an excellent choice for networking in Android apps.

4. Room

Room is part of the Android Jetpack suite and provides an abstraction layer over SQLite, making database management more intuitive. With Room, you can create and manage your app’s database with ease, leveraging Kotlin’s syntax and features to ensure type-safety and efficiency in data operations.

5. Retrofit

Retrofit remains a staple for API interaction in Android apps. This type-safe HTTP client for Android and Java works seamlessly with Kotlin, allowing you to handle RESTful web services effortlessly. With features like built-in converters and support for coroutines, Retrofit simplifies network communication and data parsing.

6. Dagger/Hilt

Dependency Injection (DI) is crucial for creating modular, testable, and maintainable code. Dagger, along with Hilt (a newer, simplified DI framework built on Dagger), helps manage dependencies efficiently. Hilt's tight integration with Android and Kotlin reduces boilerplate code and facilitates easy dependency management.

7. Coil

Coil (Coroutine Image Loader) is an image loading library for Android that is optimized for Kotlin. It leverages Kotlin coroutines, making it lightweight, fast, and easy to use. Coil simplifies image loading and caching, ensuring smooth performance and minimal memory usage in your apps.

8. Moshi

Moshi is a modern JSON library for Android and Java that makes parsing JSON into Kotlin data classes straightforward. With built-in support for Kotlin and integration with Retrofit, Moshi handles serialization and deserialization efficiently, ensuring your app can process JSON data reliably.

9. Koin

Koin is a pragmatic, lightweight dependency injection framework for Kotlin developers. It is designed to be simple to set up and use, with a straightforward DSL to define dependencies. Koin’s ease of use and minimal setup make it an attractive choice for Kotlin-based Android projects.

10. Flow

Part of Kotlin’s coroutines library, Flow is designed for handling streams of data asynchronously. It is particularly useful for managing data that updates over time, such as live data streams from a database or network. Flow provides powerful operators to transform and handle data streams with ease.

Ready to master these libraries and elevate your Android development skills? Enroll in the "Android Development with Kotlin Course for Beginners" by SkillIQ today and take the first step towards becoming a proficient Android developer. 

Staying updated with the latest libraries is essential for modern Android development. These Kotlin libraries not only streamline the development process but also enhance the performance and scalability of your applications. 

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Remote Android Developer - Senior Software Engineer Job at Paytm -Jobsclub

About the Role: Paytm is looking for a Senior Software Engineer with sound knowledge in Android native application development using Kotlin, RXJava, Coroutines, Dagger and its framework. The engineer will work on an android application for Android POS devices. Requirements: Design and code features for the Android application as per the specifications provided by Product and Design teams. Write…

[angry-byte]

A long intro to Kotlin Coroutines

301:

This blog has moved here.

[angulardevelopment]

Reactive REST API Using Spring Boot and RxJava https://morioh.com/p/b76e3eb43154

#RxJava #rest #springboot #spring #development

[insanefemme]

RxJava is the bane of my existence

[andiniwu]

Lelucon hari ini...

Percakapan antara 2 orang sahabat.

A : [sedang fokus dengan laptopnya]

B : Wih, serius amat nih. Lagi ngapain lo?

A : Mau subscribe..

B : Tumben. Channel mana?

A : Bingung juga. Bagusan milih thread yang mana dulu ya?

B : Hah, maksud lo?

A : Ini nih, untuk project android gua. Lagi nyoba main sama RxJava.

B : asdfghjkl123$&@%'!?

[codezup]

Reactive Data Handling in Kotlin with Coroutines and RxJava

Introduction Brief Explanation and Importance Reactive programming with Kotlin Coroutines and RxJava is a paradigm shift in how we handle asynchronous data processing. This approach allows us to write more efficient, flexible, and scalable code that can handle complex data streams and UI updates in a reactive manner. In this tutorial, we will explore the world of reactive programming with…

[aitoolswhitehattoolbox]

Android Developer

Required Skills & Experience Experience designing and implementing android applications. Java, MVVM, Kotlin Coroutines, Compose, Dagger, RxJava, Kotlin, JUnit, Mockito, Git Experience with Jetpack Compose for building UIs. Experience with Kotlin Coroutines for asynchronous programming. Experience working with remote data via REST and JSON Past experience in RxJava, LiveData, and Restful API…

[zxsu]

It seems Reactor already replaced RxJava.

[nirajmchauhan]

Difference between Map & Flatmap | RXJava

RXJava can be very intimidating at first go. Reactive Extensions - RX is all about data streams & handling them and three important pillars for it are Observables, Operators & Schedulers.

Initially, while using operators I was very confused between map and flatMap. And this confusion still exists today with all beginners. So let me help you to clear this confusion.

Map

Map operator transforms the items from data stream by applying a function to each item. Lets look at below code which will output length of words.

Example:

String line = "Lorem Ipsum is simply dummy text"; List words = Arrays.asList(line.split(" ")); Observable.from(words) .map(w -> { return String.format("%s => %s", w, w.length()); }).subscribe(System.out::println);

Here we are passing list of words to map. For each word it formats it and return back to the stream.

Marble Diagram:

FlatMap

FlatMap operator transforms the items from data stream into observables and then it flattens all observables into single observable. Lets look at below code which will output letters from words.

String line = "Lorem Ipsum is simply dummy text"; List words = Arrays.asList(line.split(" ")); Observable.from(words) .flatMap(w -> { return Observable.from(w.split("")); }).subscribe(System.out::println);

Confused??

In map when word Lorem was passed, it transformed it into Lorem => 5. But when we passed same word to flatMap, it transformed it into ["L","o","r","e","m"]. So flatMap can emit one or more than one values whereas map emits only one. Because its an array, flatMap flattens all values in a single stream.

Marble Diagram:

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RxAndroid Learnings.

RxAndroid is a library that handles any asynchronous data streams.

What r async data streams:

click event

push notifications

keyboard input

reading a file

database access

device sensor updates

They happen at anytime and outside of normal flow of program execution. 

Benefits of Rx:

Chaining

Abstraction

Threading

Non-blocking

Composable

avoid callbacks

data transformation 

Function map does data transformation.

Example of Observable with data transformation: 

Observable.just( 5, 6, 7 )              .map {  “;-) “.repeat(it) }              .subscribe { println(it) }

Result:

;-) ;-) ;-) ;-) ;-)  ;-) ;-) ;-) ;-) ;-) ;-)  ;-) ;-) ;-) ;-) ;-) ;-) ;-) 

Example of Observable with chaining:

Observable.just( 5, 6, 7 )             .map {  “;-) “.repeat(it) }             .filter {  it.length < 24 }             .subscribe { println(it) }

Result: 

;-) ;-) ;-) ;-) ;-)

E.g. kotlin collections

Example: 

listOf ( 5, 6, 7 )       .map { it * 5 }       .filter { it > 25 } 

Process: 

5  6  7   map into

25   30   35

filter into

30  35

Disadvantage: 

extra overhead 

blocking async manner

LAZY - will not create intermediate list with same result.

listOf ( 5, 6, 7 )       .asSequence()      .map { it * 5 }      .filter { it > 25 }      .toList() 

RxJava vs Kotlin

in Rx is ok to not have any data initially.  Rx is also lazy

Rx has flexible threading model.  Can choose thread to do the work on by using Schedulers. 

3 Basic of Rx (3o’s)

Observer

Observables

Operators

Observable

U can think of this as producing a stream of events that you are interested in knowing bout. 

Observable can be Hot or Cold manner Hot: Start doing work as soon as it gets created. It is not waiting for anyone else before getting “busy”.  Example: Click events

Cold: They dont work until someone shows interest. It doesnt work when it gets observable.  Example: Reading a file - dont needa do work until someone wants to read a file

Observable.create<Int> { subscriber -> }

Observable.just( item1, item2, item3 )

Observable.interval( 2, TimeUnit.SECODNS )

@Test fun testCreate_withNoSubscriber() {

        val observable = Observable.create<Int> { subscriber -> 

               Logger.log(”create”)                  subscriber.onNext(4)               subscriber.onNext(5)               subscriber.onNext(6)

              Logger.log(”complete”)

       }

       Logger.log(”done”) }

================= main: done  ================= it only prints “done”

@Test fun testCreate_withSubscriber() {

       val observable = Observable.create<Int> { subscriber ->

             Logger.log(”create”)               subscriber.onNext(4)             subscriber.onNext(5)             subscriber.onNext(6)

            Logger.log(”complete”)

      }       observable.subscribe {  Logger.log( “next: $it” )  } 

      Logger.log(”done”) }

================= main: create main: next: 4 main: next: 5 main: next: 6 main: complete main: done ================= it only prints “done”

Observer

Observer is the abstraction that Rx java uses for listening to or observing the various items or events that the observable is producing. 

interface Observer <T> {

   fun onError( e: Throwable )

   fun Complete()

   fun onNext( t: T )

   fun onSubscribe( d: Disposable ) 

}

Sometimes observer dont rly care bout other things.

interface Consumer <T> {        fun accept( t: T ) }

accept method is like the onNext method

Observers: have a lifecycle. Subscribe, Next, Error, Complete

Operator

Operators are what help you to transform and combine / create observable

map()

Observable.just( 5, 6, 7)                    .map { “ ;-)   ”.repeat( it ) }                   .subscribe {  println( it )  }

function map expanded: 

flatmap () 

flatmap transform an item into an Observable of different item for long running async task

e.g.  

Flowable, Singles, Maybe, BackPressure, Completable, Disposable???

Should you use Rx?

do you like Function programming?

Process items asynchronously? 

Compose data?

Handle errors gracefully? 

If yes to most of this qns > it depends Rx java can be too complex to handle things u need.

src: https://www.youtube.com/watch?v=YPf6AYDaYf8 useful links: www.adavis.info