The Observer pattern done right ReactiveX is a combination of the best ideas from the Observer pattern, the Iterator pattern, and functional programming

Reactive Extensions: Beyond the Basics, a presentation by Dan Lew (how to make your own operators, avoiding memory leaks in subscriptions, understanding Schedulers, hot and cold …

One main point of difference is that functional reactive programming operates on values that change continuously over time, while ReactiveX operates on discrete values that are emitted …

This page explains what the reactive pattern is and what Observables and observers are (and how observers subscribe to Observables). Other pages show how you use the variety of …

Languages Java: RxJava JavaScript: RxJS C#: Rx.NET C# (Unity): UniRx (no further developments) Scala: RxScala Clojure: RxClojure C++: RxCpp Lua: RxLua Perl: RxPerl Ruby: …

Introduction Each language-specific implementation of ReactiveX implements a set of operators. Although there is much overlap between implementations, there are also some operators that …

Operators Transforming FlatMap FlatMap transform the items emitted by an Observable into Observables, then flatten the emissions from those into a single Observable The FlatMap …

Jan 8, 2011 · The Reactive Extensions for C++ (RxCpp) is a library for composing asynchronous and event-based programs using observable sequences and LINQ-style query operators in C++.

There are a variety of strategies with which you can exercise flow control and backpressure in ReactiveX in order to alleviate the problems caused when a quickly-producing Observable …

Functional programming provides developers with the tools to abstract common collection operations into reusable, composable building blocks. You'll be surprised to learn that most of …