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.
RxJS101 - What you need to know to get started with RxJS tomorrowViliam Elischer
This document provides an overview of RxJS, a library for composing asynchronous and event-based programs using observable sequences. It discusses key RxJS concepts like Observables, Observers, Operators, and how to create and use Observables. It also provides learning resources and highlights improvements in RxJS 5 like compliance with the Observable specification and better performance.
This document summarizes the new features and goals of RxJS version 5, which aims to improve the modularity, performance, debugging, and extensibility of the RxJS library. Key changes include making RxJS fully modular, improving performance by reducing allocations and call stack sizes, enhancing debugging with simpler operator implementations, and allowing better extensibility through subclassing Observables and maintaining Subject bi-directionality. Simpler unit tests using marble diagrams are also highlighted.
The document provides an introduction to RxJS (Reactive Extensions for JavaScript), which is a reactive programming library for asynchronous operations. It discusses key RxJS concepts like Observables, operators, and functional reactive programming. It also provides examples of using RxJS to handle events asynchronously and processing streams of data.
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.
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.
1. Rxjs provides a better way of handling asynchronous code through observables which are streams of values over time. Observables allow for cancellable, retryable operations and easy composition of different asynchronous sources.
2. Common Rxjs operators like map, filter, and flatMap allow transforming and combining observable streams. Operators make observables quite powerful for tasks like async logic, event handling, and API requests.
3. In Angular, observables are used extensively for tasks like HTTP requests, routing, and component communication. Key aspects are using async pipes for subscriptions and unsubscribing during lifecycle hooks. Rxjs greatly simplifies many common asynchronous patterns in Angular applications.
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.
RxJS - The Reactive Extensions for JavaScriptViliam Elischer
RxJS is a library for composing asynchronous and event-based programs using observable sequences and LINQ-style query operators. It offers a language neutral approach to reactive programming using observables that asynchronously push values to observers. Some key benefits of RxJS include clean asynchronous code, error handling, composable observables, and abstraction. The core concepts include observables, observers, and operators to process and transform streams of data over time.
The document discusses Rx.js, a library for reactive programming using Observables. It begins by introducing Rx.js and some of its key benefits over other approaches to asynchronous programming like callbacks and Promises. It then provides examples of using Observables to represent asynchronous data streams and operations like DOM events. Key points made include that Observables allow for lazy execution, cancellation, composition of existing event streams, and treating asynchronous values as collections. The document concludes by demonstrating how Rx.js allows building a Morse code parser by modeling DOM events and signals as Observable streams.
RxJS Operators - Real World Use Cases (FULL VERSION)Tracy Lee
This document provides an overview and explanation of various RxJS operators for working with Observables, including:
- The map, filter, and scan operators for transforming streams of data. Map applies a function to each value, filter filters values, and scan applies a reducer function over time.
- Flattening operators like switchMap, concatMap, mergeMap, and exhaustMap for mapping Observables to other Observables.
- Error handling operators like catchError, retry, and retryWhen for catching and handling errors.
- Additional explanation of use cases and common mistakes for each operator discussed. The document is intended to explain these essential operators for real world reactive programming use.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2a2Djbp.
Gerard Sans explains RxJS' data architecture based on reactive programming, exploring Observables API using RxJS koans and unit tests. RxJS 5 focuses on performance and usability. Filmed at qconlondon.com.
Gerard Sans is a multi-talented Computer Science Engineer specialised in Web. He has lived and worked for all sorts of companies in Germany, Brazil, UK and Spain. He enjoys running AngularJS Labs London, mentoring AngularJS students, participating in the community, giving talks and writing technical articles at Medium.
서버 개발자가 바라 본 Functional Reactive Programming with RxJava - SpringCamp2015NAVER / MusicPlatform
youtube : https://youtu.be/E_Bgv9upahI
비동기 이벤트 기반의 라이브러리로만 생각 했던 RxJava가 지금 이 시대 프로그래머에게 닥쳐 올 커다란 메시지라는 사실을 알게 된 지금. 현장에서 직접 느낀 RxJava의 본질인 Function Reactive Programming(FRP)에 대해 우리가 잘 아는 Java 이야기로 풀어 보고 ReactiveX(RxJava) 개발을 위한 서버 환경에 대한 이해와 SpringFramework, Netty에서의 RxJava를 어떻게 이용 하고 개발 했는지 공유 하고자 합니다.
The document contains 6 programming tasks involving object-oriented concepts like classes, operators overloading, constructors etc. in C++. The tasks include modifying existing classes to add new functionality like operator overloading for arithmetic, relational and logical operators. New classes are also designed from scratch implementing various features like constructors, member functions and operator overloading. Main functions are written to test the classes.
Add Some Fun to Your Functional Programming With RXJSRyan Anklam
This document discusses using RxJS (Reactive Extensions for JavaScript) to add interactivity and animation to an autocomplete search widget. Key events are turned into observables and used to make AJAX requests and trigger animations. Observables are merged, concatenated, and flattened to coordinate the asynchronous events and animations over time. Functional programming concepts like map, filter, and reduce are used to transform and combine the observable streams.
Rxjs provides a paradigm for dealing with asynchronous operations in a way that resembles synchronous code. It uses Observables to represent asynchronous data streams over time that can be composed using operators. This allows handling of events, asynchronous code, and other reactive sources in a declarative way. Key points are:
- Observables represent asynchronous data streams that can be subscribed to.
- Operators allow manipulating and transforming streams through methods like map, filter, switchMap.
- Schedulers allow controlling virtual time for testing asynchronous behavior.
- Promises represent single values while Observables represent continuous streams, making Observables more powerful for reactive programming.
- Cascading asynchronous calls can be modeled elegantly using switch
Functional Reactive Programming with RxJSstefanmayer13
Talk by @mzupzup and @stefanmayer13 about Functional Reactive Programming in JavaScript at the 4th grazjs meetup (http://www.meetup.com/grazjs/).
The document discusses how to use RxJS (Reactive Extensions library for JavaScript) to treat events like arrays by leveraging Observable types and operators. It explains key differences between Observables and Promises/Arrays, how Observables are lazy and cancelable unlike Promises. Various RxJS operators like map, filter, interval and fromEvent are demonstrated for transforming and composing Observable streams. The document aims to illustrate how RxJS enables treating events as collections that can be processed asynchronously over time.
Rx.js allows for asynchronous programming using Observables that provide a stream of multiple values over time. The document discusses how Observables can be created from events, combined using operators like map, filter, and flatMap, and subscribed to in order to handle the stream of values. A drag and drop example is provided that creates an Observable stream of mouse drag events by combining mouse down, mouse move, and mouse up event streams. This allows treating the sequence of mouse events as a collection that can be transformed before handling the drag behavior.
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 moving a Slack commands application from a single Express app hosting all commands to individual serverless functions (Lambda) per command. It provides examples of the code structure for a sample "user stats" command function, how it is executed by AWS Lambda, and how CloudFormation templates are used to define and deploy the Lambda function and its resources to AWS.
This document provides an overview of functional reactive programming (FRP) and compositional event systems (CES). It discusses how FRP approaches handling time-varying values like regular values. It presents an example of modeling game movements reactively using key press events. It also demonstrates how CES can be used to handle asynchronous workflows by turning network responses into observable streams. The document compares CES to other approaches like core.async and discusses benefits of CES like supporting multiple subscribers.
Think Async: Asynchronous Patterns in NodeJSAdam L Barrett
JavaScript is single threaded, so understanding the async patterns available in the language is critical to creating maintainable NodeJS applications with good performance. In order to master “thinking in async”, we’ll explore the async patterns available in node and JavaScript including standard callbacks, promises, thunks/tasks, the new async/await, the upcoming asynchronous iteration features, streams, CSP and ES Observables.
Async Redux Actions With RxJS - React Rally 2016Ben Lesh
Redux-observable allows combining RxJS and Redux by introducing Epics. Epics are Observable streams that handle asynchronous logic in response to Redux actions. This avoids callback hell and enables features like cancellation. An Epic takes an action stream, performs asynchronous operations like AJAX calls using RxJS, and dispatches result actions. This keeps Redux synchronous while managing complex async flows in a declarative and reusable way.
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.
Swift & ReactiveX – Asynchronous Event-Based Funsies with RxSwiftAaron Douglas
This is an introduction to reactive concepts using Swift specifically with ReactiveX’s implementation, RxSwift. ReactiveX is an API for asynchronous programming with observable streams originally implemented with .NET and LINQ. ReactiveX is a combination of the best ideas from the Observer pattern, the Iterator pattern, and functional programming.
You’ll learn about all the basic moving parts of RxSwift and why you want to use it in your application.
Original presented 23-Aug-2016 at 360iDev 2016 - Denver, CO.
The document discusses virtual machines and JavaScript engines. It provides a brief history of virtual machines from the 1970s to today. It then explains how virtual machines work, including the key components of a parser, intermediate representation, interpreter, garbage collection, and optimization techniques. It discusses different approaches to interpretation like switch statements, direct threading, and inline threading. It also covers compiler optimizations and just-in-time compilation that further improve performance.
You may have heard about reactive programming. Maybe even checked out RxSwift. But if you're not using it in your daily development, you're really missing out! Rx decimates the boilerplate code you'd have to write to do the same things in the traditional, imperative manner. And, in this day and age where the answer to supporting multiple platforms has given rise to using "lowest common denominator" cross-platform development technologies, Rx shifts the focus back to developers who want to stay true to their platform of choice, by unifying the patterns and operators used to write app code on any platform. Come see how reactive programming with RxSwift will change your life and make you richer than your wildest dreams.
This document provides an overview of Rxjs (Reactive Extensions for JavaScript). It begins by explaining why Rxjs is useful for dealing with asynchronous code in a synchronous way and provides one paradigm for asynchronous operations. It then discusses the history of callbacks and promises for asynchronous code. The bulk of the document explains key concepts in Rxjs including Observables, Operators, error handling, testing with Schedulers, and compares Promises to Rxjs. It provides examples of many common Rxjs operators and patterns.
The Reactive Extensions allow developers to build composabile, asynchronous event driven methods over observable collections. In web applications, you can use this same model in client side processing using the RxJs framework. We'll show you how you can take advantage of this framework to simplify your complex asynchronous client side operations.
Reactive programming is a paradigm oriented around data flows and change propagation. RxJS is a library for reactive programming that provides Observables to compose asynchronous operations through operators like map, filter, combineLatest. It allows building responsive applications by making asynchronous code look like synchronous code. RxJS provides both hot and cold Observables, with hot Observables closing over a producer source and cold Observables creating their own producer.
The document discusses Rx.js, a library for reactive programming using Observables. It begins by introducing Rx.js and some of its key benefits over other approaches to asynchronous programming like callbacks and Promises. It then provides examples of using Observables to represent asynchronous data streams and operations like DOM events. Key points made include that Observables allow for lazy execution, cancellation, composition of existing event streams, and treating asynchronous values as collections. The document concludes by demonstrating how Rx.js allows building a Morse code parser by modeling DOM events and signals as Observable streams.
RxJS Operators - Real World Use Cases (FULL VERSION)Tracy Lee
This document provides an overview and explanation of various RxJS operators for working with Observables, including:
- The map, filter, and scan operators for transforming streams of data. Map applies a function to each value, filter filters values, and scan applies a reducer function over time.
- Flattening operators like switchMap, concatMap, mergeMap, and exhaustMap for mapping Observables to other Observables.
- Error handling operators like catchError, retry, and retryWhen for catching and handling errors.
- Additional explanation of use cases and common mistakes for each operator discussed. The document is intended to explain these essential operators for real world reactive programming use.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2a2Djbp.
Gerard Sans explains RxJS' data architecture based on reactive programming, exploring Observables API using RxJS koans and unit tests. RxJS 5 focuses on performance and usability. Filmed at qconlondon.com.
Gerard Sans is a multi-talented Computer Science Engineer specialised in Web. He has lived and worked for all sorts of companies in Germany, Brazil, UK and Spain. He enjoys running AngularJS Labs London, mentoring AngularJS students, participating in the community, giving talks and writing technical articles at Medium.
서버 개발자가 바라 본 Functional Reactive Programming with RxJava - SpringCamp2015NAVER / MusicPlatform
youtube : https://youtu.be/E_Bgv9upahI
비동기 이벤트 기반의 라이브러리로만 생각 했던 RxJava가 지금 이 시대 프로그래머에게 닥쳐 올 커다란 메시지라는 사실을 알게 된 지금. 현장에서 직접 느낀 RxJava의 본질인 Function Reactive Programming(FRP)에 대해 우리가 잘 아는 Java 이야기로 풀어 보고 ReactiveX(RxJava) 개발을 위한 서버 환경에 대한 이해와 SpringFramework, Netty에서의 RxJava를 어떻게 이용 하고 개발 했는지 공유 하고자 합니다.
The document contains 6 programming tasks involving object-oriented concepts like classes, operators overloading, constructors etc. in C++. The tasks include modifying existing classes to add new functionality like operator overloading for arithmetic, relational and logical operators. New classes are also designed from scratch implementing various features like constructors, member functions and operator overloading. Main functions are written to test the classes.
Add Some Fun to Your Functional Programming With RXJSRyan Anklam
This document discusses using RxJS (Reactive Extensions for JavaScript) to add interactivity and animation to an autocomplete search widget. Key events are turned into observables and used to make AJAX requests and trigger animations. Observables are merged, concatenated, and flattened to coordinate the asynchronous events and animations over time. Functional programming concepts like map, filter, and reduce are used to transform and combine the observable streams.
Rxjs provides a paradigm for dealing with asynchronous operations in a way that resembles synchronous code. It uses Observables to represent asynchronous data streams over time that can be composed using operators. This allows handling of events, asynchronous code, and other reactive sources in a declarative way. Key points are:
- Observables represent asynchronous data streams that can be subscribed to.
- Operators allow manipulating and transforming streams through methods like map, filter, switchMap.
- Schedulers allow controlling virtual time for testing asynchronous behavior.
- Promises represent single values while Observables represent continuous streams, making Observables more powerful for reactive programming.
- Cascading asynchronous calls can be modeled elegantly using switch
Functional Reactive Programming with RxJSstefanmayer13
Talk by @mzupzup and @stefanmayer13 about Functional Reactive Programming in JavaScript at the 4th grazjs meetup (http://www.meetup.com/grazjs/).
The document discusses how to use RxJS (Reactive Extensions library for JavaScript) to treat events like arrays by leveraging Observable types and operators. It explains key differences between Observables and Promises/Arrays, how Observables are lazy and cancelable unlike Promises. Various RxJS operators like map, filter, interval and fromEvent are demonstrated for transforming and composing Observable streams. The document aims to illustrate how RxJS enables treating events as collections that can be processed asynchronously over time.
Rx.js allows for asynchronous programming using Observables that provide a stream of multiple values over time. The document discusses how Observables can be created from events, combined using operators like map, filter, and flatMap, and subscribed to in order to handle the stream of values. A drag and drop example is provided that creates an Observable stream of mouse drag events by combining mouse down, mouse move, and mouse up event streams. This allows treating the sequence of mouse events as a collection that can be transformed before handling the drag behavior.
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 moving a Slack commands application from a single Express app hosting all commands to individual serverless functions (Lambda) per command. It provides examples of the code structure for a sample "user stats" command function, how it is executed by AWS Lambda, and how CloudFormation templates are used to define and deploy the Lambda function and its resources to AWS.
This document provides an overview of functional reactive programming (FRP) and compositional event systems (CES). It discusses how FRP approaches handling time-varying values like regular values. It presents an example of modeling game movements reactively using key press events. It also demonstrates how CES can be used to handle asynchronous workflows by turning network responses into observable streams. The document compares CES to other approaches like core.async and discusses benefits of CES like supporting multiple subscribers.
Think Async: Asynchronous Patterns in NodeJSAdam L Barrett
JavaScript is single threaded, so understanding the async patterns available in the language is critical to creating maintainable NodeJS applications with good performance. In order to master “thinking in async”, we’ll explore the async patterns available in node and JavaScript including standard callbacks, promises, thunks/tasks, the new async/await, the upcoming asynchronous iteration features, streams, CSP and ES Observables.
Async Redux Actions With RxJS - React Rally 2016Ben Lesh
Redux-observable allows combining RxJS and Redux by introducing Epics. Epics are Observable streams that handle asynchronous logic in response to Redux actions. This avoids callback hell and enables features like cancellation. An Epic takes an action stream, performs asynchronous operations like AJAX calls using RxJS, and dispatches result actions. This keeps Redux synchronous while managing complex async flows in a declarative and reusable way.
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.
Swift & ReactiveX – Asynchronous Event-Based Funsies with RxSwiftAaron Douglas
This is an introduction to reactive concepts using Swift specifically with ReactiveX’s implementation, RxSwift. ReactiveX is an API for asynchronous programming with observable streams originally implemented with .NET and LINQ. ReactiveX is a combination of the best ideas from the Observer pattern, the Iterator pattern, and functional programming.
You’ll learn about all the basic moving parts of RxSwift and why you want to use it in your application.
Original presented 23-Aug-2016 at 360iDev 2016 - Denver, CO.
The document discusses virtual machines and JavaScript engines. It provides a brief history of virtual machines from the 1970s to today. It then explains how virtual machines work, including the key components of a parser, intermediate representation, interpreter, garbage collection, and optimization techniques. It discusses different approaches to interpretation like switch statements, direct threading, and inline threading. It also covers compiler optimizations and just-in-time compilation that further improve performance.
You may have heard about reactive programming. Maybe even checked out RxSwift. But if you're not using it in your daily development, you're really missing out! Rx decimates the boilerplate code you'd have to write to do the same things in the traditional, imperative manner. And, in this day and age where the answer to supporting multiple platforms has given rise to using "lowest common denominator" cross-platform development technologies, Rx shifts the focus back to developers who want to stay true to their platform of choice, by unifying the patterns and operators used to write app code on any platform. Come see how reactive programming with RxSwift will change your life and make you richer than your wildest dreams.
This document provides an overview of Rxjs (Reactive Extensions for JavaScript). It begins by explaining why Rxjs is useful for dealing with asynchronous code in a synchronous way and provides one paradigm for asynchronous operations. It then discusses the history of callbacks and promises for asynchronous code. The bulk of the document explains key concepts in Rxjs including Observables, Operators, error handling, testing with Schedulers, and compares Promises to Rxjs. It provides examples of many common Rxjs operators and patterns.
The Reactive Extensions allow developers to build composabile, asynchronous event driven methods over observable collections. In web applications, you can use this same model in client side processing using the RxJs framework. We'll show you how you can take advantage of this framework to simplify your complex asynchronous client side operations.
Reactive programming is a paradigm oriented around data flows and change propagation. RxJS is a library for reactive programming that provides Observables to compose asynchronous operations through operators like map, filter, combineLatest. It allows building responsive applications by making asynchronous code look like synchronous code. RxJS provides both hot and cold Observables, with hot Observables closing over a producer source and cold Observables creating their own producer.
Turn Your Designers Into Death Stars with AngularLukas Ruebbelke
These are the slides from my Turn Your Designers Into Death Stars with Angular presentation from ngVegas 2015.
The video for the presentation can be seen here
https://www.youtube.com/watch?v=2rA9oAvpqDY
The exercises I created can be found here
http://bit.ly/ng-designers
This document discusses Plunker, an online code editor tool. It contains several sections about how Plunker was created through mistakes, compositions, and friendships. The founder of Plunker discusses how he initially deployed the tool by saving code directly to his computer's file system out of necessity, and how making mistakes led to Plunker's existence. Later sections explain that Plunker combines existing tools like MEAN stack, Ace editor, and duct tape, and that open source code and communities help programmers be productive. The document encourages readers to make mistakes, compositions, and friends.
Do web animations have to be hard? NO! This presentation will teach you how to build several types of animations using the AngularJS Javascript framework, CSS, and the GreenSock Animation Platform. In addition, you will get to use these animations in real-world scenarios.
ngEurope 2014: Become a Realtime Cage Dragon with Firebase and AngularJSLukas Ruebbelke
Lukas Ruebbelke is an author who will demonstrate how to build a realtime application using AngularJS and Firebase. Firebase is a backend as a service (BAAS) that allows applications to be built on major platforms that update instantly when data changes due to its realtime capabilities. Attendees will learn how to use Firebase's features and bindings with popular frameworks to deploy realtime applications.
Here are the slides that I gave for The Arizona Software Community meetup.
http://www.meetup.com/azsoftcom/events/222936544/
This was a gentle introduction to some of the features in EcmaScript 2015 and how and why you may use them.
Go Beast Mode with Realtime Reactive Interfaces in Angular 2 and FirebaseLukas Ruebbelke
These are the slides from my presentation at Angular Connect 2016. Check out http://onehungrymind.com/ for additional resources.
React is a JavaScript library for building user interfaces that was created by Facebook and Instagram. It aims to make interface development easier by making DOM manipulation faster and encouraging unidirectional data flow and reusable components. Some key reasons for its success include its small public API, emphasis on a data-down approach, cross-platform support, and growing community. React uses virtual DOM elements and components to build interfaces in a declarative way.
Here are the slides for the presentation that Shai Reznik and I gave at Angular Connect 2015. Our presentation is 5-minutes of meaningful content wrapped in another 20 minutes of wackiness that pokes fun at a lot of other memorable keynotes we have seen.
Keep your side-effects in the right place with redux observableViliam Elischer
This document summarizes different libraries for handling side effects in Redux applications. It discusses Redux Thunk, Redux Effects, Redux Side Effects, Redux Side Effects, Redux Saga, and Redux Observable. Redux Observable uses RxJS to compose and cancel async actions to create side effects. An example Epic function is provided that takes a stream of actions and returns a stream of actions. The document concludes with a thank you and contact information.
Here is the slide deck for writing Angular 1.x in an Angular 2 style.
Check out http://onehungrymind.com/ for more resources.
This document discusses ReactiveX and RxJS. ReactiveX is a library for reactive programming that originated from the Volta project in 2007. It has implementations in many languages including RxJS for JavaScript. RxJS uses Observables to handle asynchronous data streams from sources like user input, animations, and network events. Observables are lazy push collections that can be composed using operators. RxJS is used by Netflix to handle streaming large amounts of asynchronous data.
O documento discute Progressive Web Apps (PWAs), destacando suas características como carregamento instantâneo, desempenho otimizado, conexão segura e capacidade de funcionar offline. Detalha como Service Workers permitem o cache de arquivos estáticos e o carregamento assíncrono de páginas para melhorar a experiência do usuário. Apresenta casos de sucesso de PWAs que aumentaram conversões e engajamento em comparação com sites tradicionais e aplicativos nativos.
O documento discute programação reativa e como o RxJS pode ser usado para criar códigos não bloqueantes e reativos. Explica como observáveis permitem cancelar requisições e lidar com streams de dados de forma flexível, ao contrário de callbacks e promises. Também mostra como operadores como switchMap, debounceTime e distinctUntilChanged podem ser usados para manipular observáveis de forma reativa.
Reactive programming is more than a catchy phrase nowadays.
More and more complicated web applications require great tools that sustain responsiveness and scalability.
Main topic of the presentation is introduction to the world of reactive programming. This presentation puts emphasis on the RxJS library, which is Javascript implementation of the reactive paradigm.
Get that Corner Office with Angular 2 and ElectronLukas Ruebbelke
These are the slides from my workshop at ng-conf 2016 on Angular 2 and Electron. Pull down the demo repository and work through the branches. Check out http://onehungrymind.com/ for additional resources.
WebCamp:Front-end Developers Day. Александр Мостовенко "Rx.js - делаем асинхр...GeeksLab Odessa
04.07.2015 WebCamp:Front-end Developers Day
Александр Мостовенко (Python developer at Prom.ua)
"Rx.js - делаем асинхронное программирование проще"
В данном докладе будет рассмотрено преимущество FRP подхода к построению javascript приложений на примере библиотеки Rx.js. Узнаем как Rx.js позволяет избавиться от callback hell и превращает сложные вещи в простые.
Подробнее:
http://geekslab.co,
http://webcamp.in.ua/
https://www.facebook.com/GeeksLab.co , https://www.facebook.com/OdessaInnovationWeek
https://www.youtube.com/user/GeeksLabVideo
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.
Asynchronous web apps with the Play Framework 2.0Oscar Renalias
This document discusses Play's asynchronous capabilities for building scalable and responsive web applications. It begins by explaining the traditional blocking request processing model and Play's asynchronous non-blocking model. It then covers asynchronous requests using Futures and Promises in Play. Examples are provided for making actions asynchronous using asynchronous responses. The document also discusses reactive IO in Play using Enumerators and Iteratees for non-blocking streaming of data. Real world use cases for asynchronous programming include asynchronous web services, streaming files and data, and websockets.
This document provides an overview of ReactiveX (Rx), which is an API for asynchronous programming using observable streams. It discusses key Rx concepts like Observables, which represent sets of values over time that can be subscribed to; Operators, which allow transforming, combining, and manipulating observable streams; and Subjects, which act as both Observable and Observer and are useful for multicasting streams. The document provides examples of using Rx in autocomplete applications and discusses Schedulers, which define the execution context for asynchronous operations in Rx. Overall, the document serves as a high-level introduction to the reactive programming paradigm and Rx library.
Vadym Khondar is a senior software engineer with 8 years of experience, including 2.5 years at EPAM. He leads a development team that works on web and JavaScript projects. The document discusses reactive programming, including its benefits of responsiveness, resilience, and other qualities. Examples demonstrate using streams, behaviors, and other reactive concepts to write more declarative and asynchronous code.
This document provides an overview of various JavaScript concepts and techniques, including:
- Prototypal inheritance allows objects in JavaScript to inherit properties from other objects. Functions can act as objects and have a prototype property for inheritance.
- Asynchronous code execution in JavaScript is event-driven. Callbacks are assigned as event handlers to execute code when an event occurs.
- Scope and closures - variables are scoped to functions. Functions create closures where they have access to variables declared in their parent functions.
- Optimization techniques like event delegation and requestAnimationFrame can improve performance of event handlers and animations.
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.
Here I discuss about reactive programming, observable, observer and difference between observable and promise.
Also discuss some of important operators like forkJoin, switchMap, from, deboucneTime, discardUntilChanged, mergeMap. I discuss some of observable creation function.
The document discusses reactive programming and reactive systems. It defines the three parts of the reactive spectrum as reactive (software showing responses to stimuli), reactive systems (frameworks like Akka and Vert.x), and reactive programming (programming models using streams/flows like RxJava). It discusses key aspects of reactive systems like asynchronous programming, back pressure in streams to handle varying workloads, and using reactive types like Singles, Maybes and Completables. The document advocates for building responsive distributed systems using these reactive principles and introduces Vert.x as a toolkit for building such systems.
This talk was given at JSSummit 2013. Entitled "Avoiding Callback Hell with Async.js", my talk focused on common pitfalls with asynchronous functions and callbacks in JavaScript, and using the async.js library and its advanced control flows to create cleaner, more manageable code.
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/
So you’ve developed an app in MongoDB Stitch? Now what? What is day-to-day use of MongoDB Stitch really like? We’ll talk topics like multi-environment deployment (dev → test → production); logging; testing and timing; and how to best make MongoDB and Stitch work for your application.
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.
Programming Sideways: Asynchronous Techniques for AndroidEmanuele Di Saverio
Android apps need to respond fast, support highly parallel execution and multi component architecture.
Learn some tricks of the trade for these problems!
as presented at www.mobileconference.it (2013 edition)
This document discusses Reactive programming and Angular 2 components. It introduces Observables and how they can be used to handle asynchronous data streams in a reactive way. It provides examples of creating Observables from events, iterables, and intervals. It also discusses how Observables can be used in Angular 2 to reactively process and display asynchronous data.
This document discusses best practices for developing Node.js applications. It recommends using frameworks like Express for building web apps, libraries like Async to avoid callback hell, and organizing code into modular sub-applications. It also covers testing, error handling, documentation, and open-sourcing projects. Standards like Felix's Style Guide and domain-driven design principles are advocated. Communication channels like events, HTTP APIs, and WebSockets are examined.
React is a UI library that is changing the way web applications are written. While there are many benefits to using React, managing an application's complexity as it scales is one of the most powerful.
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
Module4: Ventilation
Definition, necessity of ventilation, functional requirements, various system & selection criteria.
Air conditioning: Purpose, classification, principles, various systems
Thermal Insulation: General concept, Principles, Materials, Methods, Computation of Heat loss & heat gain in Buildings
Department of Environment (DOE) Mix Design with Fly Ash.MdManikurRahman
Concrete Mix Design with Fly Ash by DOE Method. The Department of Environmental (DOE) approach to fly ash-based concrete mix design is covered in this study.
The Department of Environment (DOE) method of mix design is a British method originally developed in the UK in the 1970s. It is widely used for concrete mix design, including mixes that incorporate supplementary cementitious materials (SCMs) such as fly ash.
When using fly ash in concrete, the DOE method can be adapted to account for its properties and effects on workability, strength, and durability. Here's a step-by-step overview of how the DOE method is applied with fly ash.
MODULE 5 BUILDING PLANNING AND DESIGN SY BTECH ACOUSTICS SYSTEM IN BUILDINGDr. BASWESHWAR JIRWANKAR
: Introduction to Acoustics & Green Building -
Absorption of sound, various materials, Sabine’s formula, optimum reverberation time, conditions for good acoustics Sound insulation:
Acceptable noise levels, noise prevention at its source, transmission of noise, Noise control-general considerations
Green Building: Concept, Principles, Materials, Characteristics, Applications
As an AI intern at Edunet Foundation, I developed and worked on a predictive model for weather forecasting. The project involved designing and implementing machine learning algorithms to analyze meteorological data and generate accurate predictions. My role encompassed data preprocessing, model selection, and performance evaluation to ensure optimal forecasting accuracy.
Optimize Indoor Air Quality with Our Latest HVAC Air Filter Equipment Catalogue
Discover our complete range of high-performance HVAC air filtration solutions in this comprehensive catalogue. Designed for industrial, commercial, and residential applications, our equipment ensures superior air quality, energy efficiency, and compliance with international standards.
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THE RISK ASSESSMENT AND TREATMENT APPROACH IN ORDER TO PROVIDE LAN SECURITY B...ijfcstjournal
Local Area Networks(LAN) at present become an important instrument for organizing of process and
information communication in an organization. They provides important purposes such as association of
large amount of data, hardware and software resources and expanding of optimum communications.
Becase these network do work with valuable information, the problem of security providing is an important
issue in organization. So, the stablishment of an information security management system(ISMS) in
organization is significant. In this paper, we introduce ISMS and its implementation in LAN scop. The
assets of LAN and threats and vulnerabilities of these assets are identified, the risks are evaluated and
techniques to reduce them and at result security establishment of the network is expressed.
7. History
Originally project Volta (December 2007)
Erik Meijer: Volta is an experiment that enables Microsoft to explore new ways of
developing distributed applications.
Today ReactiveX supports RxJava, RxJS, Rx.NET, UniRx, RxScala, RxClojure,
RxCpp, Rx.rb, RxPY, RxGroovy, RxJRuby, RxKotlin, RxSwift, RxNetty, RxAndroid
RxCocoa
Mental fathers: Erik Meijer, Matthew Podwysowski
RxJS Contributors: Ben Lesh, Paul Daniels + 164 more individuals
8. RxJS is set of libraries for
composing asynchronous and event-based
programs.
9. Developers represent asynchronous data streams
with Observables, query asynchronous data streams
using many operators, and parameterize the
concurrency in the asynchronous data streams using
Schedulers.
10. Developers represent asynchronous data streams
with Observables, query asynchronous data streams
using many operators, and parameterize the
concurrency in the asynchronous data streams using
Schedulers.
11. Developers represent asynchronous data streams
with Observables, query asynchronous data streams
using many operators, and parameterize the
concurrency in the asynchronous data streams using
Schedulers.
32. Faig Ahmed - Liquid, Handmade Woolen carpet 200x290, year 2014
33. GOF Design Patterns
Iterator
IEnumerable<T> and IEnumerator<T>
interactive computations where the
consumer synchronously pulls data
from the producer
Observer
IObservable<T> and IObserver<T>
reactive computations where the
producer asynchronously pushes
data to the consumer
http://csl.stanford.edu/~christos/pldi2010.fit/meijer.duality.pdf
http://josemigueltorres.net/index.php/ienumerableiobservable-duality/
68. Use cases
Sane workflows with DOM Events (mousemove, keypress, drag and drop)
UI Manipulation
API Communication
State management (Components, AppState, Dispatching)
Set operations (map, filter, scan)
Transducers