Reactive Programming without Functions
Context: Reactive programming (RP) is a declarative programming paradigm suitable for expressing the handling of events. It enables programmers to create applications that react automatically to changes over time. Whenever a time-varying signal changes — e.g. in response to values produced by event stream (e.g., sensor data, user input…) — the program state is updated automatically in tandem with
Backpressure explained — the flow of data through software
Backpressure (or back pressure) is something nearly every software engineer will have to deal with at some point, and for some it’s a frequent problem. But the term itself isn’t nearly as understood and recognized as such. In this post I’m going to elaborate on what exactly backpressure is, when it’s common, and the strategies we can use to mitigate it. I recently gave a talk about this at Reactiv
YOW! Lambda Jam 2018 - Yaron Minsky - Reactive Programming with Diff and Patch #YOWLambdaJam
Writing reactive programs can be challenging. Such programs need to be able to react efficiently to changes as they stream in from the outside world, which often leads people to make their program logic incremental in an ad-hoc way, directly expressing their logic in terms of how to integrate a change, rather than as an all-at-once computation. But such ad-hoc incrementalization is complicated, an
Debugging data flows in reactive programs | the morning paper
the morning paper a random walk through Computer Science research, by Adrian Colyer Made delightfully fast by strattic Debugging data flows in reactive programs Banken et al., ICSE’18 To round off our look at papers from ICSE, here’s a really interesting look at the challenges of debugging reactive applications (with a certain Erik Meijer credited among the authors). … in recent years the use of R
Reactive Design Patterns
Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka. about the technology Modern web appli
Parallel Universe
February 20, 2014 Reactive (Dataflow) Programming in Java and Clojure with Quasar and Pulsar By Ron Reactive programming is a programming paradigm that helps programmers process data that flows into the system or is computed by the system asynchronously. Reactive programming achieves this through constructs that organize concurrency into a simple, understandable form. But before we go on to show h
The Reactive Manifesto
Thank you! And spread the word! Remove your signature Organisations working in disparate domains are independently discovering patterns for building software that look the same. These systems are more robust, more resilient, more flexible and better positioned to meet modern demands. These changes are happening because application requirements have changed dramatically in recent years. Only a few
Reactive Programming as an Emerging Trend
Clojure's Journey: From Simplicity to Enterprise Maturity Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key philosophies, highlights pivotal moments like the "Simple Made Easy" talk, and showcases the vibrant Clojure community and its innovative tools.
pipes-concurrency-1.0.0: Reactive programming
This post introduces the pipes-concurrency library (which you can find here), which is the renamed pipes-stm library that I previously promised. I ended up completing this much sooner than I anticipated, which is why it precedes the upcoming pipes-parse package. Begin with the tutorial if you want to learn how to use the library. This post mainly highlights some features and compares the pipes-con
ReactiveML
A programming language for implementing interactive systems. ReactiveML combines the temporal expressiveness of synchronous languages with the power of functional programming. What is ReactiveML? ReactiveML is a general purpose programming language extended with concurrency constructs to ease the programming of interactive systems. The concurrency model of the language originates from the synchron
GitHub - dmbarbour/Sirea: Simply Reactive! Declarative orchestration in Haskell using RDP
Simply Reactive! Declarative orchestration in Haskell using the Reactive Demand Programming (RDP) model. an RDP application is a complex symphony of signals and declarative effects orchestrated in space and time RDP is stateless logic on a stateful grid Everybody knows "side-effects aren't compositional". But that statement is only true in general. There are useful subsets of side-effects that hav
What's the status of current Functional Reactive Programming implementations?
I'm trying to visualize some simple automatic physical systems (such things as pendulum, robot arms,etc.) in Haskell. Often those systems can be described by equations like df/dt = c*f(t) + u(t) where u(t) represents some kind of 'intelligent control'. Those systems look to fit very nicely in the Functional Reactive Programming paradigm. So I grabbed the book "The Haskell School of Expression" by
NoR
NoR - There's No Return. A reactive programming engine for javascript. Getting Started So what's NoR about?, well, simply put it's just my take at what I learned to be reactive programming yet i'm not an expert at all. Even though the term reactive might seem like unknown, most of us already interact with a reactive system all the time. When you open your spreadsheet program and start using formul
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Tackling the Awkward Squad for Reactive Programming: The Actor-Reactor Model (ECOOP 2020) - ECOOP 2020
http://yz.mit.edu/wp/introducing-reactive-coffee/
GitHub - fynyky/reactor.js: Simple reactive programming without a framework
https://joinjspot.com/blog/meteor-in-the-wild
Introduction to Functional Reactive Programming