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.
This document provides an introduction to reactive programming with RxSwift. It begins with introductions from the presenter and audience. It then defines reactive programming as working with asynchronous data streams. It provides examples of imperative vs reactive code and discusses benefits like reduced complexity. The bulk of the document demonstrates RxSwift concepts like creating, transforming, filtering, combining, and error handling observables. It addresses common questions and objections around reactive programming and provides additional resources for learning more about RxSwift.
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.
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.
Understand the basics: what reactive programming is, how it works why you should use it. Check how RXSwift library achieves FRP and a declarative way programming!
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.
En vieux bourlingueur du langage Swift, Grégoire Lhotellier viendra nous présenter les séquences et les collections du nouveau langage d’Apple. Il nous briefera sur l’essentiel de ce qu’il faut en savoir et ce qu’elles changent par rapport à leurs équivalent Objective-C.
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.
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.
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
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.
This document provides information about using MapKit and displaying map data in iOS applications. It discusses displaying maps, adding annotations and overlays like polygons and circles, handling gestures, and loading KML data. It includes code snippets in Objective-C for creating map views, annotations, overlays from KML, handling gestures, and displaying annotation views with custom images.
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.
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
Introduction to reactive programming & ReactiveCocoaFlorent Pillet
Reactive programming models asynchronous data streams as signals that produce events over time. ReactiveCocoa is a framework that implements reactive programming in Objective-C. It uses signals to represent asynchronous data streams and operators to transform and combine signals. ReactiveCocoa code separates the logic to produce and consume data, making it more modular, reusable, testable and by reducing state and mutability. While the syntax is different, learning to think reactively can improve code quality and stability.
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 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.
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.
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 is a presentation by Clément Sauvage about Realm, a new mobile database. It introduces Realm as being amazingly simple to use, requiring only a few lines of code to instantiate and query. Realm uses object-oriented classes to define schemas and supports common operations like queries, sorting, relations between objects, and migrations between schema versions. The presentation provides examples of adding, querying, and relating objects to demonstrate Realm's ease of use compared to other mobile databases.
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.
RxJS - The Reactive extensions for JavaScriptViliam Elischer
RxJS is a library for composing asynchronous and event-based programs using observable sequences and functional style operators. It provides developers with Observables to represent asynchronous data streams, operators to query those streams, and Schedulers to parameterize concurrency. Some key operators include map to project values, filter to select values, reduce to aggregate values, and flatMap to flatten nested observables. RxJS supports both hot and cold observables, and is used for tasks like DOM event handling, API communication, and state management in applications.
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.
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.
A few slides about asynchrnous programming in Node, from callback hell to control flows using promises, thunks and generators, providing the right amount of abstraction to write great code.
All examples available on https://github.com/troch/node-control-flow.
The document discusses RxJS, a library for reactive programming using Observables that provide an API for asynchronous programming with observable streams. It provides code examples of using RxJS to handle events, AJAX requests, and animations as Observables. It also compares RxJS to Promises and native JavaScript event handling, and lists several frameworks that use RxJS like Angular and Redux.
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.
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 document provides an agenda and overview of RxSwift, a library for reactive and asynchronous programming. It discusses key RxSwift concepts like Observables, operators, and subjects. It also covers how to install and use RxSwift, including examples of creating Observables, transforming and filtering data with operators, and using Schedulers. The document emphasizes how RxSwift simplifies asynchronous tasks in UI programming by allowing code to react to new data in a sequential, isolated manner.
Reactive programming is quite a popular topic these days. For a long time, reactive programming was constrained to interactive user interface designs. With the advancement of hardware (multi-core CPU’s) and the internet, the scale, complexity, and responsiveness of software began to rise which led to reactive programming being regarded as a major programming paradigm.
Read more from here: https://blog.lftechnology.com/introduction-to-reactive-programming-part-1-5b7c63685586
By: Subash Poudel (Software Engineer @ Leapfrog Technology, Inc.)
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
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.
This document provides information about using MapKit and displaying map data in iOS applications. It discusses displaying maps, adding annotations and overlays like polygons and circles, handling gestures, and loading KML data. It includes code snippets in Objective-C for creating map views, annotations, overlays from KML, handling gestures, and displaying annotation views with custom images.
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.
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
Introduction to reactive programming & ReactiveCocoaFlorent Pillet
Reactive programming models asynchronous data streams as signals that produce events over time. ReactiveCocoa is a framework that implements reactive programming in Objective-C. It uses signals to represent asynchronous data streams and operators to transform and combine signals. ReactiveCocoa code separates the logic to produce and consume data, making it more modular, reusable, testable and by reducing state and mutability. While the syntax is different, learning to think reactively can improve code quality and stability.
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 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.
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.
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 is a presentation by Clément Sauvage about Realm, a new mobile database. It introduces Realm as being amazingly simple to use, requiring only a few lines of code to instantiate and query. Realm uses object-oriented classes to define schemas and supports common operations like queries, sorting, relations between objects, and migrations between schema versions. The presentation provides examples of adding, querying, and relating objects to demonstrate Realm's ease of use compared to other mobile databases.
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.
RxJS - The Reactive extensions for JavaScriptViliam Elischer
RxJS is a library for composing asynchronous and event-based programs using observable sequences and functional style operators. It provides developers with Observables to represent asynchronous data streams, operators to query those streams, and Schedulers to parameterize concurrency. Some key operators include map to project values, filter to select values, reduce to aggregate values, and flatMap to flatten nested observables. RxJS supports both hot and cold observables, and is used for tasks like DOM event handling, API communication, and state management in applications.
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.
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.
A few slides about asynchrnous programming in Node, from callback hell to control flows using promises, thunks and generators, providing the right amount of abstraction to write great code.
All examples available on https://github.com/troch/node-control-flow.
The document discusses RxJS, a library for reactive programming using Observables that provide an API for asynchronous programming with observable streams. It provides code examples of using RxJS to handle events, AJAX requests, and animations as Observables. It also compares RxJS to Promises and native JavaScript event handling, and lists several frameworks that use RxJS like Angular and Redux.
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.
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 document provides an agenda and overview of RxSwift, a library for reactive and asynchronous programming. It discusses key RxSwift concepts like Observables, operators, and subjects. It also covers how to install and use RxSwift, including examples of creating Observables, transforming and filtering data with operators, and using Schedulers. The document emphasizes how RxSwift simplifies asynchronous tasks in UI programming by allowing code to react to new data in a sequential, isolated manner.
Reactive programming is quite a popular topic these days. For a long time, reactive programming was constrained to interactive user interface designs. With the advancement of hardware (multi-core CPU’s) and the internet, the scale, complexity, and responsiveness of software began to rise which led to reactive programming being regarded as a major programming paradigm.
Read more from here: https://blog.lftechnology.com/introduction-to-reactive-programming-part-1-5b7c63685586
By: Subash Poudel (Software Engineer @ Leapfrog Technology, Inc.)
The document provides an introduction to reactive programming concepts using the ReactiveX API. It discusses key reactive programming concepts like observables, observers, and streams that emit values. It shows how to define observables from variables and events, subscribe observers to observables to receive emitted values, and handle asynchronous and threaded behavior. The document also demonstrates how to solve a loading spinner coordination problem between multiple asynchronous requests using reactive programming patterns like combining observables rather than directly manipulating state. It discusses advantages like explicit states, reduced complexity, and error handling but also drawbacks like dependency issues.
Reactive programming is a modern and trending technology which allows development of background task easy and managable. This presentation will specically explain use of Rx plug-in in android and ios applications
RxJava & RxSwift
http://reactivex.io/
Presented at the December 2017 Philly Cocoaheads December meetup.
A beginner friendly intro to Reactive Programming through RxSwift. If you’re curious about RxSwift or just want to learn about another approach to handling asynchronous code in Swift, come check this out! We will explore the basic concepts of Reactive Programming and walk through concrete examples of using RxSwift to simplify networking, auth, and other common issues when building an iOS app.
The document discusses 10 things to know about RxSwift, a library for reactive programming in Swift. It introduces basic RxSwift concepts like Observables and Observers which send and receive events. It covers topics like hot vs cold Observables, error handling, debugging, schedulers and parallelism, testing, and RxSwift specific traits. Resources for learning more about RxSwift and reactive programming are also provided at the end.
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.
The document provides an overview of RxSwift and best practices for using it. It begins with defining Rx and common Rx terminology like Observables and streams. It then discusses when to use Rx, such as for user actions, async operations, and bindings. The document concludes with Rx best practices like creating custom operators, handling cell reuse, and asking what is being reacted to.
RxJava pour Android : présentation lors du GDG Android MontréalSidereo
Reactive extensions are a framework created by Microsoft for .NET at the end of 2009.
It is a «library that allows programmers to write succinct declarative code to orchestrate and coordinate asynchronous and event-based programs »
The way you write code with this library might be referred to as functional reactive programming, we’ll talk more about this during the presentation.
It is now available for Java and Android. The specifics for Android are helpers for thread and UI stuff.
Jake Wharton is a huge contributor for the Android version
Rx is a generic abstraction of computation expressed through Observable<Element> interface, which lets you broadcast and subscribe to values and other events from an Observable stream.
Reactive programming is a general programming term focused on reacting to changes, such as data values or events. It can and often is done imperatively. A callback, delegate is an approach to reactive programming done imperatively.
This document summarizes an article about using RxJava on Android. It discusses how RxJava can help solve issues with asynchronous tasks and the Android lifecycle. It provides examples of how to combine multiple asynchronous data streams, handle errors, and implement retry logic using RxJava operators. It also gives an overview of key RxJava concepts like Observables, threading, cold vs hot Observables, and Subjects.
Reactive Thinking in iOS Development - Pedro Piñera Buendía - Codemotion Amst...Codemotion
In a world where Imperative Programming is the most used paradigm, Reactive comes up to make our code more reusable, robust, and stateless. Learn what Functional Reactive Programming means and how it could help you with problems you have to face daily in your projects. We’ll present basic concepts and practical examples for iOS developers that will help you to start thinking in streams, observers, .. and mix them with cool Swift functional concepts.
This document provides an overview of using MVVM architecture with RxSwift for reactive programming. It discusses MVVM patterns, reactive systems principles, RxSwift fundamentals including observables, subjects and operators. It also covers RxCocoa for reactive UI bindings and RxSwift extensions like RxDataSources. The document aims to introduce these concepts and technologies to enable practical MVVM development using RxSwift. Code examples and resources are provided to help developers get started with this approach.
This document introduces Reactive Extensions (Rx) for .NET, which provides a way to handle asynchronous and event-based code through the use of observables. It discusses how event handling is difficult and error-prone, representing a significant portion of code and bugs in many applications. Rx uses observables, LINQ, and schedulers to provide a push-based reactive programming model as an alternative to the traditional synchronous pull-based model and event-based asynchronous model. It provides examples of how to define and work with observables, including creating them from various sources, subscribing to receive push notifications, and manipulating streams of data.
Microservices Part 4: Functional Reactive ProgrammingAraf Karsh Hamid
ReactiveX is a combination of the best ideas from the Observer pattern, the Iterator pattern, and functional programming. It combines the Observer pattern, Iterator pattern, and functional programming concepts. ReactiveX allows for asynchronous and event-based programming by using the Observer pattern to push data to observers, rather than using a synchronous pull-based approach.
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.
This document discusses RxSwift and Cocoa, which are frameworks for reactive programming in iOS and macOS apps. It explains that Cocoa and Cocoa Touch include frameworks for developing macOS and iOS apps respectively. It then covers key RxSwift concepts like Observables, Subjects, Control Properties, Control Events, and Drivers. It also discusses how to bind data with RxSwift, use traits like ControlProperty and ControlEvent, and how to properly dispose of subscriptions to avoid memory leaks.
RxJS in Angular 2
1. Quick overview of progress on RxJS Next (now RxJS 5)
2. Comparing Promises with Observables, and talking about why Observables are a better choice for Single Page Applications, like those written with Angular
3. Show the anatomy of an Observable
4. Talk about what Operators are
5. Show an example of reconnecting a multiplexed Web Socket using Observables in Angular 2.
Artificial Intelligence Applications Across IndustriesSandeepKS52
Artificial Intelligence is a rapidly growing field that influences many aspects of modern life, including transportation, healthcare, and finance. Understanding the basics of AI provides insight into how machines can learn and make decisions, which is essential for grasping its applications in various industries. In the automotive sector, AI enhances vehicle safety and efficiency through advanced technologies like self-driving systems and predictive maintenance. Similarly, in healthcare, AI plays a crucial role in diagnosing diseases and personalizing treatment plans, while in financial services, it helps in fraud detection and risk management. By exploring these themes, a clearer picture of AI's transformative impact on society emerges, highlighting both its potential benefits and challenges.
FME as an Orchestration Tool - Peak of Data & AI 2025Safe Software
Processing huge amounts of data through FME can have performance consequences, but as an orchestration tool, FME is brilliant! We'll take a look at the principles of data gravity, best practices, pros, cons, tips and tricks. And of course all spiced up with relevant examples!
Insurance policy management software transforms complex, manual insurance operations into streamlined, efficient digital workflows, enhancing productivity, accuracy, customer service, and profitability for insurers. Visit https://www.damcogroup.com/insurance/policy-management-software for more details!
Marketo & Dynamics can be Most Excellent to Each Other – The SequelBradBedford3
So you’ve built trust in your Marketo Engage-Dynamics integration—excellent. But now what?
This sequel picks up where our last adventure left off, offering a step-by-step guide to move from stable sync to strategic power moves. We’ll share real-world project examples that empower sales and marketing to work smarter and stay aligned.
If you’re ready to go beyond the basics and do truly most excellent stuff, this session is your guide.
Top 5 Task Management Software to Boost Productivity in 2025Orangescrum
In this blog, you’ll find a curated list of five powerful task management tools to watch in 2025. Each one is designed to help teams stay organized, improve collaboration, and consistently hit deadlines. We’ve included real-world use cases, key features, and data-driven insights to help you choose what fits your team best.
Who will create the languages of the future?Jordi Cabot
Will future languages be created by language engineers?
Can you "vibe" a DSL?
In this talk, we will explore the changing landscape of language engineering and discuss how Artificial Intelligence and low-code/no-code techniques can play a role in this future by helping in the definition, use, execution, and testing of new languages. Even empowering non-tech users to create their own language infrastructure. Maybe without them even realizing.
14 Years of Developing nCine - An Open Source 2D Game FrameworkAngelo Theodorou
A 14-year journey developing nCine, an open-source 2D game framework.
This talk covers its origins, the challenges of staying motivated over the long term, and the hurdles of open-sourcing a personal project while working in the game industry.
Along the way, it’s packed with juicy technical pills to whet the appetite of the most curious developers.
Wondershare PDFelement Pro 11.4.20.3548 Crack Free DownloadPuppy jhon
➡ 🌍📱👉COPY & PASTE LINK👉👉👉 ➤ ➤➤ https://drfiles.net/
Wondershare PDFelement Professional is professional software that can edit PDF files. This digital tool can manipulate elements in PDF documents.
GDG Douglas - Google AI Agents: Your Next Intern?felipeceotto
Presentation done at the GDG Douglas event for June 2025.
A first look at Google's new Agent Development Kit.
Agent Development Kit is a new open-source framework from Google designed to simplify the full stack end-to-end development of agents and multi-agent systems.
In this session we cover the benefits of a migration to Cosmos DB, migration paths, common pain points and best practices. We share our firsthand experiences and customer stories. Adiom is the trusted partner for migration solutions that enable seamless online database migrations from MongoDB to Cosmos DB vCore, and DynamoDB to Cosmos DB for NoSQL.
Maximizing Business Value with AWS Consulting Services.pdfElena Mia
An overview of how AWS consulting services empower organizations to optimize cloud adoption, enhance security, and drive innovation. Read More: https://www.damcogroup.com/aws-cloud-services/aws-consulting.
NTRODUCTION TO SOFTWARE TESTING
• Definition:
• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
• Importance:
• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
the software
Automating Map Production With FME and PythonSafe Software
People still love a good paper map, but every time a request lands on a GIS team’s desk, it takes time to create that perfect, individual map—even when you're ready and have projects prepped. Then come the inevitable changes and iterations that add even more time to the process. This presentation explores a solution for automating map production using FME and Python. FME handles the setup of variables, leveraging GIS reference layers and parameters to manage details like map orientation, label sizes, and layout elements. Python takes over to export PDF maps for each location and template size, uploading them monthly to ArcGIS Online. The result? Fresh, regularly updated maps, ready for anyone to grab anytime—saving you time, effort, and endless revisions while keeping users happy with up-to-date, accessible maps.
In today's world, artificial intelligence (AI) is transforming the way we learn.
This talk will explore how we can use AI tools to enhance our learning experiences, by looking at some (recent) research that has been done on the matter.
But as we embrace these new technologies, we must also ask ourselves:
Are we becoming less capable of thinking for ourselves?
Do these tools make us smarter, or do they risk dulling our critical thinking skills?
This talk will encourage us to think critically about the role of AI in our education. Together, we will discover how to use AI to support our learning journey while still developing our ability to think critically.
Have you upgraded your application from Qt 5 to Qt 6? If so, your QML modules might still be stuck in the old Qt 5 style—technically compatible, but far from optimal. Qt 6 introduces a modernized approach to QML modules that offers better integration with CMake, enhanced maintainability, and significant productivity gains.
In this webinar, we’ll walk you through the benefits of adopting Qt 6 style QML modules and show you how to make the transition. You'll learn how to leverage the new module system to reduce boilerplate, simplify builds, and modernize your application architecture. Whether you're planning a full migration or just exploring what's new, this session will help you get the most out of your move to Qt 6.
How the US Navy Approaches DevSecOps with Raise 2.0Anchore
Join us as Anchore's solutions architect reveals how the U.S. Navy successfully approaches the shift left philosophy to DevSecOps with the RAISE 2.0 Implementation Guide to support its Cyber Ready initiative. This session will showcase practical strategies for defense application teams to pivot from a time-intensive compliance checklist and mindset to continuous cyber-readiness with real-time visibility.
Learn how to break down organizational silos through RAISE 2.0 principles and build efficient, secure pipeline automation that produces the critical security artifacts needed for Authorization to Operate (ATO) approval across military environments.
2. Agenda
• Introduction to Rx
• Creating observable sequences
• Basic patterns
• User interface patterns
• Architecture patterns
3. About Rx
• Microsoft Reactive Extensions (Rx.NET) - 2009
• ReactiveX.io defines a common API for Rx implementations
• RxSwift 2015
• Shares concepts and API with other implementations
• Heavily tested framework
6. Base concepts
• Compose and transform observable sequences using
operators
• Rx models the asynchronous propagation of change
11. What did we just see?
• a sequence emitted one item then completed,
• the map operator transformed a sequence of JSON objects
into a sequence of Floats,
• similar to Swift sequence mapping but asynchronous.
12. What did we just see?
Experiment with interactive marble diagrams
at rxmarbles.com
17. The mysterious genesis of the Observable
RxCocoa
import RxCocoa
let disposable = NSNotificationCenter.defaultCenter()
.rx_notification(UIApplicationSignificantTimeChangeNotification)
.subscribeNext {
(notification: UINotification) in
print("Date changed: time to update!")
}
18. The mysterious genesis of the
Observable
RxCocoa
import RxCocoa
@IBOutlet var textField : UITextField!
override func viewDidLoad() {
super.viewDidLoad()
let _ = textField.rx_text.subscribeNext {
(text: String) in
print("text field changed to (text)")
}
}
19. The mysterious genesis of the
Observable
Manual creation
let strings : Observable<Int> =
Observable.create { observer in
observer.onNext("Hello")
observer.onNext("World")
observer.onCompleted()
// we don't need to release any
// resource on dispose()
return NopDisposable.instance
}
20. The mysterious genesis of the Observable
Manual creation
let asyncComputation : Observable<Data> =
Observable.create { observer in
let task = someAsyncTask()
task.run(
success: {
(result: Data) in
observer.onNext(result)
observer.onCompleted()
}
error: {
(error: ErrorType) in
observer.onError(error)
}
)
return AnonymousDisposable {
task.cancel()
}
}
21. The mysterious genesis of the Observable
More ways to obtain observables:
• Items from an array or collection
• DelegateProxy
• rx_observe(type, keypath, options)
• rx_sentMessage(#selector)
• Subject (stateless) and Variable (stateful)
23. Composition
Task: update temperature label when button tapped
func getTemperature(city: String)
-> Observable<(String,Float)>
func formattedTemperature(temp: Float)
-> String
let disposable = button.rx_tap
.withLatestFrom(textField.rx_text)
.flatMapLatest {
(city: String) -> Observable<(String,Float)> in
return getTemperature(city)
}
.subscribeNext {
(temp: (String,Float)) in
let degrees = formattedTemperature(temp.1)
label.text = "It's (degrees) in (temp.0)"
}
24. Aggregation
Task: obtain the current temperature in multiple cities
let disposable = ["Berlin","London",
"Madrid","Paris",
"Rome"]
.map {
(city: String) -> Observable<(String,Float)> in
return getTemperature(city)
}
.toObservable()
.merge()
.toArray()
.subscribeNext {
(temperatures: [(String,Float)]) in
// we get the result of the five requests
// at once in a nice array!
}
25. Cancellation
Task: update temperature every second until VC disappears
var timerDisposable : Disposable!
override func viewWillAppear(animated: Bool) {
super.viewWillAppear(animated)
timerDisposable = Observable
.timer(0.0, period: 60.0, scheduler: MainScheduler.instance)
.flatMap { _ -> Observable<String> in
getTemperature("Paris").map {
(temp: (String,Float)) -> String in
return String(temp.1)
}
}
.bindTo(label.rx_text)
}
override func viewWillDisappear(animated: Bool) {
timerDisposable.dispose()
super.viewWillDisappear(animated)
}
26. Error handling
Task: if a temperature network request fails, display "--"
func getTemperatureAsString(city: String) -> Observable<(String,String)> {
return getTemperature(city)
.map {
(temp: (String,Float)) -> String in
return (city, formattedTemperature(temp.1))
}
.catchErrorJustReturn((city, "--"))
}
27. Error handling
Task: if a temperature network request fails, display "--"
let disposable = button.rx_tap
.withLatestFrom(textField.rx_text)
.flatMapLatest {
(city: String) -> Observable<(String,String)> in
return getTemperatureAsString(city)
}
.map {
(temp: (String,String)) -> String in
return "It's (temp.1) in (temp.0)"
}
.bindTo(label.rx_text)
33. Architecture patterns
• Expose all data to display as Observable sequences
• Use Action to wire up the UI whenever possible
• MVVM is a perfect fit for Rx
34. Architecture patterns
• Decouple application logic from application infrastructure
• Storage, geolocation, network requests, image cache etc.
are a good fit for insulation
• Makes replacing whole parts of the app easier
• Testing and mocking are easier too
36. Reactive programming
• Powerful way to express program logic
• Model the asynchronous propagation of change
• Eliminate state from your code
• Code is more testable
• RxSwift is a solid foundation
• Fast growing pool of users, add-ons and contributors
(RxSwiftCommunity!)