This document provides an overview of RxAndroid and RxJava. It discusses key concepts like Observables that emit items, Subscribers that receive emitted items and complete/error notifications, and Operators like map that transform Observables. It shows how to create a simple Observable, subscribe to it, and use operators like map. It also demonstrates integrating Rx with Android by observing button clicks and updating UI, merging multiple Observables, and using scan to increment a counter and calculate a running sum from emitted values.
Intro to RxJava/RxAndroid - GDG Munich AndroidEgor Andreevich
This document introduces RxJava and RxAndroid. It explains that RxJava allows for composing asynchronous and event-based programs using observable sequences. It covers how to create Observables, subscribe to them, use operators to transform data, and handle threading. It also discusses how RxJava is useful for Android development by making asynchronous code easier to write, test, and handle threading, with libraries like RxAndroid, RxBinding, and RxLifecycle to integrate with Android components and lifecycles.
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
Reactive Programming on Android - RxAndroid - RxJavaAli Muzaffar
Introduction to RxJava for reactive programming and how to use RxAndroid to do reactive programming on Android.
There is a sample android app to go with the slides that has all the source shown in the project.
This document provides an introduction to Retrofit and RxJava. It discusses:
1. How Retrofit turns REST APIs into Java interfaces and handles JSON conversion.
2. What RxJava is and how it allows for composing asynchronous and event-based programs using observable sequences.
3. Examples of making HTTP requests with Retrofit, including defining services, making synchronous and asynchronous requests, and using callbacks and RxJava.
4. Key RxJava concepts like Observables, operators like map, flatMap, and zip, and threading.
For most of us, Reactive Android means using RxJava. In this presentation, I try to borrow a few ideas from the backend world and enrich the concept of Reactive in Android.
Intro to RxJava/RxAndroid - GDG Munich AndroidEgor Andreevich
This document introduces RxJava and RxAndroid. It explains that RxJava allows for composing asynchronous and event-based programs using observable sequences. It covers how to create Observables, subscribe to them, use operators to transform data, and handle threading. It also discusses how RxJava is useful for Android development by making asynchronous code easier to write, test, and handle threading, with libraries like RxAndroid, RxBinding, and RxLifecycle to integrate with Android components and lifecycles.
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
Reactive Programming on Android - RxAndroid - RxJavaAli Muzaffar
Introduction to RxJava for reactive programming and how to use RxAndroid to do reactive programming on Android.
There is a sample android app to go with the slides that has all the source shown in the project.
This document provides an introduction to Retrofit and RxJava. It discusses:
1. How Retrofit turns REST APIs into Java interfaces and handles JSON conversion.
2. What RxJava is and how it allows for composing asynchronous and event-based programs using observable sequences.
3. Examples of making HTTP requests with Retrofit, including defining services, making synchronous and asynchronous requests, and using callbacks and RxJava.
4. Key RxJava concepts like Observables, operators like map, flatMap, and zip, and threading.
For most of us, Reactive Android means using RxJava. In this presentation, I try to borrow a few ideas from the backend world and enrich the concept of Reactive in Android.
RxJS is a library for reactive programming that allows composing asynchronous and event-based programs using observable sequences. It provides the Observable type for pushing multiple values to observers over time asynchronously. Operators allow transforming and combining observables. Key types include Observable, Observer, Subject, BehaviorSubject, and ReplaySubject. Subjects can multicast values to multiple observers. Overall, RxJS is useful for handling asynchronous events as collections in a declarative way.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
A presentation given to Overstock.com IT at annual conference. Twitter @TECHknO 2015. Goal of the presentation is to provide a good introduction to the reactive programming model with RxJava.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at GDG DevFest The Netherlands 2016.
Lecture on Reactive programming on Android, mDevCamp 2016.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Android architecture component - FbCircleDev Yogyakarta IndonesiaPratama Nur Wijaya
The document discusses Android Architecture Components (AAC). It describes AAC as a library, guidelines and standards that aim to standardize architecture and reduce boilerplate code. It discusses key components of AAC like Lifecycles, LiveData, ViewModel and Room that help address issues like lifecycle handling, data persistence and offline support. It provides code examples to demonstrate how these components can be used to build more robust Android applications that properly handle lifecycles and data.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
This document discusses RxJava, a library for composing asynchronous and event-based programs in Java. It introduces Observables as the core abstraction in RxJava, which are sequences that emit elements to observers. Operators like filter, map, and flatMap allow modifying and transforming Observables. As an example, it shows how to use RxJava to concurrently search for articles by ID, load each article, fetch like counts, and combine the results into a stream of articles. This is done by chaining flatMap operators to transform the stream of IDs into a stream of articles by asynchronously loading each part in parallel.
The document discusses ReactiveX (RxJava) and the Observable pattern. It begins with an overview of Observables which emit streams of data and how subscribers observe and react to those streams. It then covers various RxJava operators like map, flatMap, and compose that allow transforming and combining Observable streams. The document also discusses threading with RxJava using subscribeOn and observeOn and how to structure applications using an MVVM architecture with RxJava.
RxJS is a library for composing asynchronous and event-based programs by using observable sequences. It provides operators that allow transforming, filtering, and combining streams of data from diverse sources. Key features include:
- Representing asynchronous data streams with Observables
- Providing LINQ-like operators for querying and transforming streams
- Using Schedulers to control concurrency and synchronize streams with other asynchronous operations like user interactions, server requests, etc.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows avoiding callback hell and makes it easy to compose and transform asynchronous processes through combining, filtering, etc. RxJava uses Observables to represent asynchronous data streams and allows subscribing to those streams using Observers. It supports asynchronous operations through Schedulers and can integrate with libraries like Retrofit to handle asynchronous network requests in a reactive way. Learning the RxJava concepts and operators takes some time but it provides many benefits for managing asynchronous code in a declarative way.
The Mayans Lost Guide to RxJava on AndroidFernando Cejas
This document provides an introduction and overview of RxJava. Some key points:
- RxJava is a library for composing asynchronous and event-based programs using observable sequences. It implements Reactive Extensions (ReactiveX) for the Java VM.
- Using RxJava can help address issues with concurrency, callbacks, and composing asynchronous operations in Java. It promotes a reactive style of programming.
- The core abstractions in RxJava are Observables (which emit notifications), Subscribers (which receive notifications), and Operators (which allow transformation and manipulation of observable sequences).
- Examples are provided of how to use RxJava with Clean Architecture, including reactive presenters, use cases that
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
This document introduces reactive programming and RxJS. It defines reactive systems as being responsive, resilient, elastic, and message-driven. Reactive programming uses asynchronous data streams and is more declarative, reusable, and testable. RxJS uses Observables to represent push-based collections of multiple values over time. Observables can be subscribed to and provide notifications for next events, errors, and completion. More than 120 operators allow manipulating Observable streams similarly to arrays. The document advocates for using RxJS to represent asynchronous data from various sources to build modern web applications in a reactive way.
RxJava 2.0 has been completely rewritten from scratch to conform to the Reactive Streams specification. This provides a common baseline for reactive systems and libraries. RxJava 2.0 introduces the Flowable source in addition to Observable to support backpressure, or flow control of the data stream. Flowable is appropriate when the source can support backpressure, while Observable is used when the source cannot apply backpressure. The document also discusses other specialized sources like Single, Completable and Maybe that return defined subsets of possible events.
How can you get more done by doing less? Can Spring Web MVC applications look simpler? How can writing less code mean more? How can using Groovy in JUnit tests speed up writing tests. Making data driven tests cool with Spock. All in existing living Java web applications with sample code in Java and Groovy.
This talk was delivered at JavaOne 2013, together with Andrzej Grzesik. We mention the new Date APIs, changes to Collections as well as Streams APIs and of course... Lambdas!
The Road To Reactive with RxJava JEEConf 2016Frank Lyaruu
This document introduces Reactive Programming with RxJava and how it can be used to create non-blocking applications. It discusses the limitations of blocking code and how RxJava uses Observables and Subscribers to implement reactive and asynchronous operations. It provides examples of converting blocking servlets and HTTP calls to non-blocking using RxJava. While non-blocking code is not always faster, it allows asynchronous operations to utilize threads more efficiently.
The document introduces RxJava, a library for composing asynchronous and event-based programs using observable sequences for the Java Virtual Machine. It discusses the problems with asynchronous programming, provides an overview of reactive programming and reactive extensions, and describes RxJava's core types like Observable and Observer. It also covers key concepts like operators, schedulers, subjects, and dealing with backpressure in RxJava.
GKAC 2015 Apr. - Xamarin forms, mvvm and testingGDG Korea
This document discusses Xamarin Forms, MVVM design pattern, and testing. It covers how Xamarin Forms allows building cross-platform mobile apps using C# and XAML that are natively backed. It also describes the MVVM pattern which separates presentation and logic for testability using bindings, properties, collections and commands. Events like PropertyChanged, CollectionChanged, and CanExecuteChanged are used to notify views of changes.
RxJS is a library for reactive programming that allows composing asynchronous and event-based programs using observable sequences. It provides the Observable type for pushing multiple values to observers over time asynchronously. Operators allow transforming and combining observables. Key types include Observable, Observer, Subject, BehaviorSubject, and ReplaySubject. Subjects can multicast values to multiple observers. Overall, RxJS is useful for handling asynchronous events as collections in a declarative way.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
A presentation given to Overstock.com IT at annual conference. Twitter @TECHknO 2015. Goal of the presentation is to provide a good introduction to the reactive programming model with RxJava.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at GDG DevFest The Netherlands 2016.
Lecture on Reactive programming on Android, mDevCamp 2016.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Android architecture component - FbCircleDev Yogyakarta IndonesiaPratama Nur Wijaya
The document discusses Android Architecture Components (AAC). It describes AAC as a library, guidelines and standards that aim to standardize architecture and reduce boilerplate code. It discusses key components of AAC like Lifecycles, LiveData, ViewModel and Room that help address issues like lifecycle handling, data persistence and offline support. It provides code examples to demonstrate how these components can be used to build more robust Android applications that properly handle lifecycles and data.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
This document discusses RxJava, a library for composing asynchronous and event-based programs in Java. It introduces Observables as the core abstraction in RxJava, which are sequences that emit elements to observers. Operators like filter, map, and flatMap allow modifying and transforming Observables. As an example, it shows how to use RxJava to concurrently search for articles by ID, load each article, fetch like counts, and combine the results into a stream of articles. This is done by chaining flatMap operators to transform the stream of IDs into a stream of articles by asynchronously loading each part in parallel.
The document discusses ReactiveX (RxJava) and the Observable pattern. It begins with an overview of Observables which emit streams of data and how subscribers observe and react to those streams. It then covers various RxJava operators like map, flatMap, and compose that allow transforming and combining Observable streams. The document also discusses threading with RxJava using subscribeOn and observeOn and how to structure applications using an MVVM architecture with RxJava.
RxJS is a library for composing asynchronous and event-based programs by using observable sequences. It provides operators that allow transforming, filtering, and combining streams of data from diverse sources. Key features include:
- Representing asynchronous data streams with Observables
- Providing LINQ-like operators for querying and transforming streams
- Using Schedulers to control concurrency and synchronize streams with other asynchronous operations like user interactions, server requests, etc.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows avoiding callback hell and makes it easy to compose and transform asynchronous processes through combining, filtering, etc. RxJava uses Observables to represent asynchronous data streams and allows subscribing to those streams using Observers. It supports asynchronous operations through Schedulers and can integrate with libraries like Retrofit to handle asynchronous network requests in a reactive way. Learning the RxJava concepts and operators takes some time but it provides many benefits for managing asynchronous code in a declarative way.
The Mayans Lost Guide to RxJava on AndroidFernando Cejas
This document provides an introduction and overview of RxJava. Some key points:
- RxJava is a library for composing asynchronous and event-based programs using observable sequences. It implements Reactive Extensions (ReactiveX) for the Java VM.
- Using RxJava can help address issues with concurrency, callbacks, and composing asynchronous operations in Java. It promotes a reactive style of programming.
- The core abstractions in RxJava are Observables (which emit notifications), Subscribers (which receive notifications), and Operators (which allow transformation and manipulation of observable sequences).
- Examples are provided of how to use RxJava with Clean Architecture, including reactive presenters, use cases that
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
This document introduces reactive programming and RxJS. It defines reactive systems as being responsive, resilient, elastic, and message-driven. Reactive programming uses asynchronous data streams and is more declarative, reusable, and testable. RxJS uses Observables to represent push-based collections of multiple values over time. Observables can be subscribed to and provide notifications for next events, errors, and completion. More than 120 operators allow manipulating Observable streams similarly to arrays. The document advocates for using RxJS to represent asynchronous data from various sources to build modern web applications in a reactive way.
RxJava 2.0 has been completely rewritten from scratch to conform to the Reactive Streams specification. This provides a common baseline for reactive systems and libraries. RxJava 2.0 introduces the Flowable source in addition to Observable to support backpressure, or flow control of the data stream. Flowable is appropriate when the source can support backpressure, while Observable is used when the source cannot apply backpressure. The document also discusses other specialized sources like Single, Completable and Maybe that return defined subsets of possible events.
How can you get more done by doing less? Can Spring Web MVC applications look simpler? How can writing less code mean more? How can using Groovy in JUnit tests speed up writing tests. Making data driven tests cool with Spock. All in existing living Java web applications with sample code in Java and Groovy.
This talk was delivered at JavaOne 2013, together with Andrzej Grzesik. We mention the new Date APIs, changes to Collections as well as Streams APIs and of course... Lambdas!
The Road To Reactive with RxJava JEEConf 2016Frank Lyaruu
This document introduces Reactive Programming with RxJava and how it can be used to create non-blocking applications. It discusses the limitations of blocking code and how RxJava uses Observables and Subscribers to implement reactive and asynchronous operations. It provides examples of converting blocking servlets and HTTP calls to non-blocking using RxJava. While non-blocking code is not always faster, it allows asynchronous operations to utilize threads more efficiently.
The document introduces RxJava, a library for composing asynchronous and event-based programs using observable sequences for the Java Virtual Machine. It discusses the problems with asynchronous programming, provides an overview of reactive programming and reactive extensions, and describes RxJava's core types like Observable and Observer. It also covers key concepts like operators, schedulers, subjects, and dealing with backpressure in RxJava.
GKAC 2015 Apr. - Xamarin forms, mvvm and testingGDG Korea
This document discusses Xamarin Forms, MVVM design pattern, and testing. It covers how Xamarin Forms allows building cross-platform mobile apps using C# and XAML that are natively backed. It also describes the MVVM pattern which separates presentation and logic for testability using bindings, properties, collections and commands. Events like PropertyChanged, CollectionChanged, and CanExecuteChanged are used to notify views of changes.
RetroFit by Square - GDG Dallas 06/09/16Stacy Devino
Retrofit is a library that allows developers to make RESTful API calls from Java code without complex thread management or parsing. It supports a wide variety of data types including JSON, XML, and custom converters. Retrofit allows synchronous data calls for simple requests and asynchronous calls with callbacks for handling errors, similar to Android APIs. It also supports dynamic URL parameters to handle APIs with variable endpoints.
Java Micro Edition Platform & Android - Seminar on Small and Mobile Devicesjuricde
This document provides an overview of the Java Micro Edition (Java ME) platform and Android for developing applications on small mobile devices. It discusses the motivation for such platforms due to the large number and heterogeneity of mobile devices. Java ME is introduced as a subset of Java SE tailored for resource-constrained devices using configurations like CLDC and profiles like MIDP. Android is presented as an open source software stack and operating system built on the Linux kernel. The document outlines some of the key components of the Java ME and Android architectures and development processes.
Async task, threads, pools, and executors oh my!Stacy Devino
http://360andev.com/sessions/100-async-task-threads-pools-and-executors/
Frome 360 AnDev conference
There are many ways to use Threads and in the multithreaded world in which we live, it can be confusing when, where, and how to use these functions correctly. Still, that assumes you know what they all mean and how to manipulate them. Novices and Experts welcome as there are many schools of thought, but we will explore them all together.
Don’t worry, we have you covered.
Animated Version : but.ly/asyncThread
1) The document discusses Google AdMob's tools and services for monetizing mobile apps, including smarter ad targeting and mediation, analytics for optimization, and easy integration of ad formats.
2) It provides statistics on the growth of the mobile app market and in-app advertising, noting that advertising now accounts for 50% of app revenue in many markets.
3) The conclusion reaffirms AdMob's commitment to helping developers grow their business through tools for scaling ad revenue, smart monetization strategies, and easy ad integration.
디자이너 없어도 괜찮아! (feat.Material Design Guide)GDG Korea
1) The document discusses Material Design, a design language developed by Google. It covers topics like principles, style, color, iconography, imagery, typography, layout, components, and patterns in Material Design.
2) Material Design aims to create intuitive and unified experiences across platforms and devices. It uses principles like metaphor, motion, and physical properties to create interfaces that resemble real-life materials.
3) The document provides guidelines and best practices for applying various elements of Material Design like color palettes, icon sets, imagery, and navigation patterns. It also shares resources and libraries for implementing Material Design on Android and the web.
Google I/O Extended Seoul 2016 발표자료입니다.
The ExoPlayer provides many sophisticated features such as Dynamic adaptive streaming over HTTP (DASH), SmoothStreaming and Common Encryption
This document provides an introduction to reinforcement learning. It discusses how recent research has used deep neural networks (DNNs) and convolutional neural networks (CNNs) to approximate Q-functions and solve problems. This research has achieved superhuman performance on tasks like playing Atari 2600 games and Go, and has also been applied to 3D games and robot control. The document then provides overviews of machine learning, supervised learning, unsupervised learning, and reinforcement learning, and provides examples of each type.
The document discusses Android Data Binding, which allows binding UI components in XML layouts to data sources in code. It introduces basic data binding, using Observables to track changes, binding collections, and using data binding with RecyclerView. Expressions can be used to bind data and call methods. Data binding avoids findViewById and directly updating views, supports code reuse, and automatically updates UIs when data changes.
Introduce Android TV and new features from Google I/O 2016GDG Korea
Android TV is a platform for smart TVs and streaming devices that runs on Android. New features in Android N include Recents, Picture-in-Picture, recording APIs, and improvements to the Leanback library. Developers can add PIP support, recording functionality, and customize the UI using new branding and navigation options. The Android N preview SDK provides access to all new Android TV features for developers to test.
The document discusses reactive programming and how it can be used on Android. It explains that reactive programming uses observable sequences and asynchronous data flows. It introduces RxJava as a library for reactive programming that uses Observables to compose flows of asynchronous data. It provides examples of how RxJava can be used on Android to perform background tasks, handle errors and activity lifecycles, load images asynchronously, and create and transform Observables.
Tech Talk #4 : RxJava and Using RxJava in MVP - Dương Văn TớiNexus FrontierTech
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows processing streams of data and events asynchronously without blocking threads. Some key features include:
- Creating Observables from various sources like arrays, callbacks, or network requests
- Combining multiple Observables using operators like map, filter, concatMap
- Scheduling Observables to run on different threads for IO, computation, or the main thread
- Subscribing to Observables using Subscriber, Observer, or other callback methods
When using RxJava with MVP, Observables can be used to asynchronously load and transform data from the model to be presented by the view. Operators allow processing streams of data before
The document introduces RxJava and how it can be used in Android applications, describing key concepts like Observables, Observers, Operators, and Subjects that allow asynchronous and event-based code to be written in a reactive style. It provides examples of how RxJava can be used to fetch toilet data from an API and handle the asynchronous response more declaratively compared to using callbacks. The document also discusses how subjects can act as both observables that emit events and observers that receive events, making them useful for building event buses between activities.
Reactive Programming Patterns with RxSwiftFlorent Pillet
In this introduction to reactive programming and RxSwift you'll learn how common problems are solved in a reactive way to improve your architecture and write more reliable code.
"Kotlin и rx в android" Дмитрий Воронин (Avito)AvitoTech
Rx и Kotlin стали самыми модными трендами Android разработки в последнее время. Мы выпустили два приложения с архитектурой, построенной вокруг Rx, где нет ни одной строки на Java. Насколько удобно работать с этими инструментами? В своём докладе я расскажу, с какими трудностями мы столкнулись, как их победили, а также продемонстрирую несколько крутых и несложных подходов к разработке на этом стеке.
The document provides an overview of key concepts in Android development including:
1) Android applications are built using Java and XML files and use the Android framework which is based on a component-based model with activities, intents, and manifest files.
2) The project structure separates code, resources, and configuration files. Activities display UI and respond to user input using callbacks.
3) Views display content on screen and are defined in XML layout files then accessed in code. Adapters populate views with data. Intents are used to start activities and pass data.
This document introduces Reactive Extensions (RxJS) for JavaScript, which allows programming with asynchronous data streams. It discusses key RxJS concepts like Observables that emit event streams and Observers that subscribe to those streams. It provides examples of creating Observables from events, making Ajax requests, retrying failures, combining streams, and using various operators to transform and filter streams. The goal is to help developers learn how to use RxJS to compose asynchronous actions and events in a functional, reactive style.
Workshop slides from the Alt.Net Seattle 2011 workshop. Presented by Wes Dyer and Ryan Riley. Get the slides and the workshop code at http://rxworkshop.codeplex.com/
Going fullstack React(ive) - Paulo Lopes - Codemotion Amsterdam 2017Codemotion
What if someone told you that you could use the full capacity of your server? That you could have the same performance on the backend as your react frontend? Don't you believe it? That you could choose the best language/tool for the task and you were not limited by what you already know? In this talk, I'll show you that you can use the full power of React on the frontend and Vert.x on the backend. You will see a fast full stack development workflow with Rollup/Webpack + Babel + React. How you can mix JavaScript with any other language. Build microservice applications in minutes.
JS Experience 2017 - Reactive Interfaces com React & RxJSiMasters
This document summarizes a presentation about reactive interfaces. It discusses reactive extensions, the observer pattern, iterator pattern, observable streams, and state management using RxJS. The observer pattern is used for one-to-many relationships where dependent objects are notified of changes. The iterator pattern accesses collection elements sequentially without knowing the representation. Reactive extensions compose asynchronous programs using observable sequences. Observable streams treat asynchronous events like arrays using simple operations. State management with RxJS involves creating a BehaviorSubject to merge actions and reduce state changes.
RX (Reactive Extensions) is a library for implementing the Observer design pattern, which allows an object to publish changes to other objects through event notifications. It defines Observables, which represent asynchronous data streams, and Observers, which receive notifications for these streams. RX also includes operators that allow these streams to be transformed and combined using functional programming patterns like map and filter. This allows complex asynchronous behaviors to be easily modeled using simple declarative code.
Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using Observable sequences. RxJava implements Rx for the Java VM. Key advantages include simplifying async operations, surfacing errors sooner, and reducing state bugs. The API has a large surface area, so the learning curve is steep. RxJava 2 is recommended over 1 due to better performance, lower memory usage, and other improvements. Observables push data to Observers via onNext, onError, onCompleted calls. Common operators like map, flatMap, filter transform and combine Observable streams. Multithreading uses Schedulers. Unit testing uses TestSubscriber to make assertions.
Managing application state, asynchronous events and manually updating the DOM is hard. Cycle.js is a minimal framework that combines a pure functional programming style, immutability, and state management using Observables and Virtual DOM rendering. In this presentation we take a mild introduction to why that's interesting.
Web development is hard. Managing asynchronous events and updating the dom directly quickly becomes a mess. Cycle.js uses streams and pure functions to help. You can find the presentation video in https://youtu.be/1yXgFFVVJDw
This document provides an introduction to reactive programming and RxJS. It begins by explaining the benefits of the reactive approach for asynchronous and event-driven code. It then contrasts reactive and functional programming, noting that reactive programming deals with asynchronous data streams. The document introduces RxJS and how it handles promises and observables. It defines observables and operators. Examples are provided to demonstrate reactive concepts. Resources for further learning are included at the end.
1) Rxjs provides a paradigm for dealing with asynchronous operations in a synchronous way using observables. Observables allow representing push-based data streams and provide operators to compose and transform these streams.
2) Operators like map, filter, and switchMap allow manipulating observable streams and their values in various ways. Common patterns include cascading asynchronous calls, parallelizing multiple requests, and retrying or error handling of streams.
3) Schedulers allow bending time and virtual clocks, enabling testing asynchronous code by controlling when asynchronous operations complete. Marble testing uses descriptive patterns to visually test observable streams and operator behavior.
RxJava и Android. Плюсы, минусы, подводные камниStfalcon Meetups
Ярослав Герьятович
Android Engineer в компании Attendify . Спикер на UA Mobile'14 . Идеолог функционального и реактивного подхода в проектировании Android приложений.
RxJS - The Reactive extensions for JavaScriptViliam Elischer
RxJS is a library for composing asynchronous and event-based programs using observable sequences and functional style operators. It provides developers with Observables to represent asynchronous data streams, operators to query those streams, and Schedulers to parameterize concurrency. Some key operators include map to project values, filter to select values, reduce to aggregate values, and flatMap to flatten nested observables. RxJS supports both hot and cold observables, and is used for tasks like DOM event handling, API communication, and state management in applications.
Taming Core Data by Arek Holko, MacoscopeMacoscope
The document discusses best practices for working with Core Data in iOS applications. It covers 9 steps: 1) setting up Core Data, 2) accessing the managed object context, 3) creating NSManagedObject subclasses, 4) creating fetch requests, 5) integrating networking, 6) using NSFetchedResultsController, 7) protocolizing models, 8) using immutable models, and 9) modularizing the code. The overall message is that Core Data code should be organized cleanly using small, single-purpose classes and protocols to improve testability, separation of concerns, and code reuse.
This document discusses inclusive design and accessibility testing to improve the accessibility of apps. It provides links to resources on using Android accessibility services, Material Design accessibility guidelines, an accessibility scanner tool, an Android accessibility testing framework, a codelab on basic Android accessibility, and Google I/O 2016 videos on inclusive design/testing and new features in Android accessibility.
Building Extraordinary Apps with Firebase AnalyticsGDG Korea
Firebase is a developer toolbox that provides tools to help build apps including a real-time database, authentication, storage, remote config, and analytics. The real-time database allows for real-time syncing of data across clients. Firebase also provides user authentication through supported sign-in methods. Firebase Analytics automatically captures usage data that can be used to understand user behavior and improve apps. It also allows developers to define custom events. The tools in Firebase help developers better understand users to create extraordinary apps.
This document summarizes the new features of Android 5.0 including Material Design specifications, improved runtime performance with ART, enhanced power management with Project Volta, improved camera capabilities with Camera2 API, and 64-bit support. It also discusses changes developers need to make their apps compatible with Android 5.0 like using MultiDex for the 64K method limit and following Material Design guidelines.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
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When deliberating between CodeIgniter vs CakePHP for web development, consider their respective strengths and your project requirements. CodeIgniter, known for its simplicity and speed, offers a lightweight framework ideal for rapid development of small to medium-sized projects. It's praised for its straightforward configuration and extensive documentation, making it beginner-friendly. Conversely, CakePHP provides a more structured approach with built-in features like scaffolding, authentication, and ORM. It suits larger projects requiring robust security and scalability. Ultimately, the choice hinges on your project's scale, complexity, and your team's familiarity with the frameworks.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Mobile app Development Services | Drona InfotechDrona Infotech
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Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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2. Rx
The Reactive Extensions (Rx) is a library for
composing asynchronous and event-based
programs using observable sequences and
LINQ-style query operators.
https://msdn.microsoft.com/en-us/data/gg577609
3. RxJava
RxJava is a Java VM implementation of
Reactive Extensions: a library for composing
asynchronous and event-based programs by
using observable sequences.
Copyright 2013 Netflix, Inc.
(https://github.com/ReactiveX/RxJava)
8. onNext
An Observable calls this method whenever the
Observable emits an item. This method takes
as a parameter the item emitted by the
Observable.
9. onError
An Observable calls this method to indicate that
it has failed to generate the expected data or
has encountered some other error. This stops
the Observable and it will not make further calls
to onNext or onCompleted. The onError
method takes as its parameter an indication of
what caused the error.
10. onCompleted
An Observable calls this method after it has
called onNext for the final time, if it has not
encountered any errors.
57. Observable runs on “newThread”
Observable.from("one", "two", "three", "four", "five")
.subscribeOn(Schedulers.newThread())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(/* an Observer */);
58. Subscriber runs on “mainThread”
Observable.from("one", "two", "three", "four", "five")
.subscribeOn(Schedulers.newThread())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(/* an Observer */);
Notice:
Subscriber doesn’t run on mainThread immediately.
59. Bound
new Thread(() -> {
final Handler handler = new Handler();
Observable.from("one", "two", "three", "four", "five")
.subscribeOn(Schedulers.newThread())
.observeOn(AndroidSchedulers.handlerThread(handler))
.subscribe(/* an Observer */)
}, "custom-thread-1").start();
60. Bound to this thread
new Thread(() -> {
final Handler handler = new Handler();
Observable.from("one", "two", "three", "four", "five")
.subscribeOn(Schedulers.newThread())
.observeOn(AndroidSchedulers.handlerThread(handler))
.subscribe(/* an Observer */)
}, "custom-thread-1").start();
75. Subject
A Subject is a sort of bridge or proxy
that is available in some
implementations of ReactiveX that
acts both as an observer and as an
Observable.