What is the translation of " REACTIVE PROGRAMMING " in Chinese?

• 响应式编程
• reactive programming
• 反应式编程

Examples of using Reactive programming in English and their translations into Chinese

What is Reactive Programming?
什么是响应式编程”?

Zetta combines REST APIs, WebSockets, and reactive programming.
Zetta结合了RESTAPI，WebSockets和反应式编程。

Functional reactive programming.
函数式反应式编程.

Reactive Programming with RxJava.
从响应式编程谈RxJava.

RxJS and Reactive Programming.
RxSwift以及响应式编程.

Built around Node. js, REST, WebSockets, and a flow-based“reactive programming”.
基于Node.js，REST，WebSockets和基于流的“响应式编程”构建。

RxSwift and reactive programming.
RxSwift以及响应式编程.

In reactive programming the consumer reacts to the data as it comes in.
在响应式程序设计中，当数据到达的时候，消费者做出响应。

Js, I understand just how little I know about reactive programming in general.
Js时，才发现对ReactiveProgramming知之甚少。

Js, a reactive programming library with an emphasis on extreme performance and simple APIs.
Js的创造者，它是一个强调极致性能和精简API的响应式编程库。

One thing you will find is, again, at least in the reactive programming space, we have gaps to address.
有一件事，至少在响应式编程领域中，我们还需要缩小一些差距。

Functional reactive programming, commonly called FRP, is most frequently misunderstood.
函数响应式编程Functionalreactiveprogramming，通常被称作FRP，是最常被误解的。

Reactive Streams gives us a common API for Reactive Programming in Java.
ReactiveStreams为我们提供了Java中的ReactiveProgramming的通用API。

Reactive programming promises higher performance of Enterprise Java applications with lower memory requirements.
反应式编程承诺具有较低内存要求的企业Java应用程序的更高性能。

MobX is inspired by the reactive programming principles in the excel table.
MobX的灵感来自excel表格中的反应式编程原理。

Reactive programming is a declarative programming paradigm concerned with data streams and the propagation of change.
意思就是，ReactiveProgramming就是一种面向数据流、关注变更的声明式编程范式。

The highlight of the Spring Framework 5.0 is definitely reactive programming, which is a significant paradigm shift.
SpringFramework5.0的亮点绝对是响应式编程，这是一个重要的范式转变。

RxJS is a reactive programming library that allows for more flexible handling of asynchronous operations and events.
RxJS是一个响应式编程库，允许更灵活地处理异步操作和事件。

We need tools to properly deal with that data, and reactive programming is considered to be the silver bullet in this case.
我们需要工具来正确地解决这些问题，而ReactiveProgramming正是我们想要的答案。

RxJS is a reactive programming library that allows for more flexible handling of asynchronous operations and events.
RxJS是一个响应式的编程类库，允许对异步的操作和事件做更加灵活的处理。

Hooks provide access to imperative escape hatches and don't require you to learn complex functional or reactive programming techniques.
Hooks提供了对命令式逃生舱的访问，并且不需要您学习复杂的函数式或反应式编程技术。

The full scale functional reactive programming beasts like ReactiveCocoa, RxSwift or PromiseKit.
使用全量级的函数式响应编程框架,比如ReactiveCocoa、RxSwift或者PromiseKit。

MobX is a battle-tested library that makes state management simple and scalable by transparently applying functional reactive programming(TFRP).
MobX是一个经过战火洗礼的库，它通过透明的函数响应式编程(transparentlyapplyingfunctionalreactiveprogramming-TFRP)使得状态管理变得简单和可扩展。

Reactive web frameworks like ReactJS use reactive programming techniques to simplify the creation of web views.
像ReactJS这样的响应式Web框架使用响应式编程技术来简化Web视图的构建。

MobX is a war-torn library that makes state management simple and extensible through transparently responding functional reactive programming(TFRP).
MobX是一个经过战火洗礼的库，它通过透明的函数响应式编程(transparentlyapplyingfunctionalreactiveprogramming-TFRP)使得状态管理变得简单和可扩展。

All in all, Reactive Programming is a very useful implementation technique, which can be used in a Reactive Architecture.
总而言之，响应式编程是一个非常有用的实现技术，可以用在响应式架构当中。

Being built with TypeScript means that Nest comes with strong typing and combines elements of OOP(Object Oriented Programming), FP(Functional Programming) and FRP(Functional Reactive Programming).
使用TypeScript构建意味着Nest具有强大的类型功能，并且结合了OOP（面向对象编程），FP（函数式编程）和FRP（函数式响应编程）的元素。

Being able to“do reactive programming” or apply reactive techniques requires a shift in thinking and in how you design software systems.
要做到“响应式编程”或者应用响应式技术需要转变思维以及设计软件系统的方式。

But MobX takes transparent Functional Reactive Programming to a better level and provides a standalone implementation.
但是MobX把透明的函数响应式编程(TransparentFunctionalReactiveProgramming)提升到了一个更好的水平并且提供了独立的实现。

Recognizing the advent of(backpressure enabled) reactive programming, engineers from various companies got together and created the Reactive-Streams specification.
意识到响应式编程（支持backpressure）的兴起之后，来自各个公司的工程师们聚在了一起，设计了一套Reactive-Streams规范。