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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
This document discusses using RxJava to handle asynchronous and concurrent processes. It provides an example of using RxJava to stream tweets from Twitter APIs, retrieve user profiles concurrently, and find the most popular tweet by a user. Key strengths of RxJava highlighted are that it is functional, reactive, allows controlling execution threads, and is easy to compose and integrate workflows. Some pitfalls mentioned are that the API is large, it can be hard to debug, and back pressure must be managed.
The document provides an overview of RxJava and its advantages over traditional Java streams and callbacks. It discusses key RxJava concepts like Observables, Observers, and Subscriptions. It demonstrates how to create Observables, subscribe to them, and compose operations like filter, map, and zip. It shows how to leverage schedulers to control threading. The document also provides examples of using RxJava with HTTP requests and the Twitter API to asynchronously retrieve user profiles and tweets. It highlights scenarios where RxJava is useful, like handling asynchronous operations, and discusses some pitfalls like its learning curve and need to understand backpressure.
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.
Functional Programming Past Present FutureIndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
--
Harnessing the Power of Java 8 Streams IndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
--
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 - 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
Functional Reactive Programming (FRP): Working with RxJSOswald Campesato
Functional Reactive Programming (FRP) combines functional programming and reactive programming by treating asynchronous data streams as basic elements. FRP uses Observables to represent these streams, which emit values over time that can be composed together using operators like map and filter. Popular libraries for FRP include RxJS, which supports asynchronous and event-based programs by modeling push-based data streams with Observables. Operators allow transforming and combining Observable streams to build reactive applications.
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.
Streams, Streams Everywhere! An Introduction to RxAndrzej Sitek
Nowadays users expect real time data - tweets, messages, order confirmations etc. - the user's attitude moved to the “push" model and it is high time for us devs to make that step as well.
Reactive Extensions (Rx) is the new hot stuff amongst developers these days. It is a library for composing asynchronous and event-based programs by using observable sequences. Sounds nice?
The only problem is that it can be a bit difficult to approach initially, especially when you come from an imperative world, but once mastered it helps dealing with some common problems in a nicer and cleaner way making your code more readable and easier to maintain.
Multiple implementations of Reactive Extensions helps reusing once learnt concepts between different programming languages. The aim of this talk is to provide a quick introduction to Rx theory and potential usecases. The examples are based on RxJava - the Java VM implementation of Reactive Extensions.
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.
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.
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.
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
The slides from the talk I gave at Oracle III #JuevesTecnológicos in Madrid.
A review of how the ParallelStreams Work in Java 8 and some considerations we must know in order to get the better performance from the concurrent data processing in #Java8
apidays LIVE Australia 2020 - Strangling the monolith with a reactive GraphQL...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Strangling the monolith with a reactive GraphQL gateway
Martin Varga, Senior Software Developer at Atlassian
Java 8 Stream API and RxJava ComparisonJosé Paumard
The slides of my JavaOne talk: Java 8 Stream API and RxJava Comparison: Patterns and Performances.
The spliterators patterns can be found here: https://github.com/JosePaumard/jdk8-spliterators.
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.
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.
This document discusses using RxJava to handle asynchronous and concurrent processes. It provides an example of using RxJava to stream tweets from Twitter APIs, retrieve user profiles concurrently, and find the most popular tweet by a user. Key strengths of RxJava highlighted are that it is functional, reactive, allows controlling execution threads, and is easy to compose and integrate workflows. Some pitfalls mentioned are that the API is large, it can be hard to debug, and back pressure must be managed.
The document provides an overview of RxJava and its advantages over traditional Java streams and callbacks. It discusses key RxJava concepts like Observables, Observers, and Subscriptions. It demonstrates how to create Observables, subscribe to them, and compose operations like filter, map, and zip. It shows how to leverage schedulers to control threading. The document also provides examples of using RxJava with HTTP requests and the Twitter API to asynchronously retrieve user profiles and tweets. It highlights scenarios where RxJava is useful, like handling asynchronous operations, and discusses some pitfalls like its learning curve and need to understand backpressure.
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.
Functional Programming Past Present FutureIndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
--
Harnessing the Power of Java 8 Streams IndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
--
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 - 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
Functional Reactive Programming (FRP): Working with RxJSOswald Campesato
Functional Reactive Programming (FRP) combines functional programming and reactive programming by treating asynchronous data streams as basic elements. FRP uses Observables to represent these streams, which emit values over time that can be composed together using operators like map and filter. Popular libraries for FRP include RxJS, which supports asynchronous and event-based programs by modeling push-based data streams with Observables. Operators allow transforming and combining Observable streams to build reactive applications.
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.
Streams, Streams Everywhere! An Introduction to RxAndrzej Sitek
Nowadays users expect real time data - tweets, messages, order confirmations etc. - the user's attitude moved to the “push" model and it is high time for us devs to make that step as well.
Reactive Extensions (Rx) is the new hot stuff amongst developers these days. It is a library for composing asynchronous and event-based programs by using observable sequences. Sounds nice?
The only problem is that it can be a bit difficult to approach initially, especially when you come from an imperative world, but once mastered it helps dealing with some common problems in a nicer and cleaner way making your code more readable and easier to maintain.
Multiple implementations of Reactive Extensions helps reusing once learnt concepts between different programming languages. The aim of this talk is to provide a quick introduction to Rx theory and potential usecases. The examples are based on RxJava - the Java VM implementation of Reactive Extensions.
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.
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.
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.
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
The slides from the talk I gave at Oracle III #JuevesTecnológicos in Madrid.
A review of how the ParallelStreams Work in Java 8 and some considerations we must know in order to get the better performance from the concurrent data processing in #Java8
apidays LIVE Australia 2020 - Strangling the monolith with a reactive GraphQL...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Strangling the monolith with a reactive GraphQL gateway
Martin Varga, Senior Software Developer at Atlassian
Java 8 Stream API and RxJava ComparisonJosé Paumard
The slides of my JavaOne talk: Java 8 Stream API and RxJava Comparison: Patterns and Performances.
The spliterators patterns can be found here: https://github.com/JosePaumard/jdk8-spliterators.
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.
Real-world applications of the Reactive ExtensionsJonas Chapuis
This document discusses real-world applications of Reactive Extensions (Rx) for .NET. It provides examples of using Rx for search boxes, stock quote streams, buffering data, timeouts, and interoperability with the Task Parallel Library (TPL). Rx is well-suited for declarative programming with time handling, error handling, cancellation, and easy testing of asynchronous operations like event streams and asynchronous queries. It has been adopted by companies like GitHub for building responsive user interfaces with deterministic testing.
"I have nothing to say". If you code then you learn. If you learn that you already have something to share. When sharing, you're already learning. Here are some of the fears that you might have, and how to overcome them.
Developing an app with a design that changes every few months means that the architecture chosen for the UI has to facilitate change. How do you react fast to UI changes, with minimum amount of code? What pattern is the best for testability? Which pattern gives you most decoupling of classes? MVC, MVP and MVVM are the most popular architecture patterns for implementing user interfaces. Join me on a journey to discover the advantages and disadvantages associated with of each of these and find the best one. We will perform a deep dive into the implementations and tests for each pattern. Learn about the pitfalls that you can expect and how you can avoid them, based on some of the lessons that we have learned.
This document provides a summary of dependency injection and Dagger 2 in Android applications. It explains that dependency injection separates configuration from usage to improve maintainability, testability and reduce coupling. It describes how Dagger generates code to inject dependencies using annotations and component and module definitions. Modules provide dependencies while components inject them into classes. Scopes like per activity are supported. Overall Dagger improves architecture by managing object creation and dependencies through compile time verification rather than runtime errors.
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.
Modern app programming with RxJava and Eclipse Vert.xThomas Segismont
With the advent of mobile web and IoT (Internet of Things), today's applications need to handle a lot of concurrent requests while staying responsive and easy to scale. Infrastructure plays a role in achieving these goals, but changing your programming style can help too.
In this presentation, we will make the case for reactive programming, and introduce RxJava in particular. Then we will guide you through the process of building a real-life web application, based on Vert.x 3 and RxJava, communicating with databases, external services and modern datastores. You will learn how Vert.x integrates with RxJava, and why its simplicity makes it a perfect runtime for reactive applications.
RxJava is very powerful tool which helps Android code to understand and maintain very easily. Using RxJava, application can be created with lesser bug. With RxJava many complex tasks can be accomplished easily and without errors. As RxJava is new for Android developer, they might have questions like Why? How? When? In this talk, audience will have very useful RxJava information with example of implementing in Applications.
The document describes a geographic location in northern Spain called Aia between the regions of Gipuzkoa and Nafarroa. It is 6,913 hectares wide with a climate of average 12 degree temperatures and over 2000 ml of annual precipitation. The area contains plants like pines, alder trees, and oaks as well as animals including wild boar, deer, vultures, salmon, and otters.
The document discusses MVVM and RxJava and how they work well together. It provides an overview of MVVM and RxJava concepts like streams, observables, and composability. It also discusses some mistakes made and lessons learned in implementing MVVM and RxJava in an app, as well as both the benefits and challenges of using RxJava. Code examples are provided to demonstrate RxJava functionality.
The document discusses reactive programming in Android using RxJava. It explains that RxJava allows composing asynchronous data streams through Observables and Subscribers. It avoids callback hell by treating callbacks as streams. Operations like mapping, filtering can be done through various RxJava operators to transform data streams. It also discusses key RxJava concepts like Observables, Subscribers, Schedulers for controlling thread execution.
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.
"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.
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
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 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.
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.
Wprowadzenie do technologii Big Data / Intro to Big Data EcosystemSages
Introduction to Hadoop Map Reduce, Pig, Hive and Ambari technologies.
Workshop deck prepared and presented on September 5th 2015 by Radosław Stankiewicz.
During that the day participants had also the possibility to go through prepared tutorials and test their analysis on real cluster.
This document provides an introduction to Akka.NET Streams and Reactive Streams. It discusses key concepts like observables, async enumerables, and reactive streams. It also demonstrates how to build workflows with Akka.NET streams, including examples of building a TCP server. The document introduces core Akka.NET streams concepts like sources, flows, and sinks, and how they compose together in a runnable graph. It also covers testing streams with probes and materialization.
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.
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.
Probably everyone has heard about reactive programming but not everyone tried to use it in real projects.
This presentation is about reactive approach basics and about own experience of integrating this approach into real Android project step by step.
Wprowadzenie do technologi Big Data i Apache HadoopSages
The document introduces concepts related to Big Data technology including volume, variety, and velocity of data. It discusses Hadoop architecture including HDFS, MapReduce, YARN, and the Hadoop ecosystem. Examples are provided of common Big Data problems and how they can be solved using Hadoop frameworks like Pig, Hive, and Ambari.
This document summarizes an introductory presentation on RxJava. It begins with definitions of reactive programming and RxJava, noting that RxJava allows for composing asynchronous and event-based programs using observable sequences. It then discusses some common problems with concurrency in Android and how RxJava provides solutions through concepts like Observables, operators, and schedulers. It provides examples of using RxJava for common tasks like network requests and timers. It concludes with some common mistakes to avoid like improper use of schedulers and failing to unsubscribe.
This document discusses refactoring Java code to Clojure using macros. It provides examples of refactoring Java code that uses method chaining to equivalent Clojure code using the threading macros (->> and -<>). It also discusses other Clojure features like type hints, the doto macro, and polyglot projects using Leiningen.
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.
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.
4Developers 2015: Programowanie synchroniczne i asynchroniczne - dwa światy k...PROIDEA
This document discusses asynchronous and synchronous programming in Java. It covers several key aspects:
1. Java supports both multi-threading for synchronous programming as well as asynchronous programming using non-blocking I/O and libraries like RxJava.
2. Asynchronous programming can be difficult due to issues like complex error handling, lack of readability, and difficulty debugging.
3. Many open-source libraries have been created to help with asynchronous programming using approaches like futures, callbacks, and promises.
4. Reactive programming libraries like RxJava, Reactor, and Vert.x use approaches like asynchronous streams to simplify asynchronous code.
RxJava 2 Reactive extensions for the JVMNetesh Kumar
This document provides an overview of RxJava and reactive programming concepts. It discusses why RxJava was created, defines key RxJava terms like Observables and Operators, and provides examples of common Observable creation methods and Operators like filter(), flatMap(), and zip(). The document aims to explain the basics of RxJava and how it allows for asynchronous and event-based programming using Observable sequences.
How to Think in RxJava Before ReactingIndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
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The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
43. Compose with
Observables
Retrieve a list of repositories
• more than 3 letters
• cancel previous search when new one
• make a search when the user is done typing
67. RXjava is synchronous
by default
Same as
for(String word: sentence) {
Log.v(TAG, word);
}
Observable.from(sentence)
.subscribe(word -> Log.v(TAG, word));
90. ViewView Model
Architecture
Hold the
business logic
For the View
display ui
according to state of the
data
Data Layer
Store
Store
Binding
Hold the logic for data
emits Pojos
update
trigger