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What is Reactive Programming?


Most software applications nowadays run on multiple devices platforms, handle much traffic, and process data collected from various sources. The conventional programming models do not help programmers to speed up software applications by processing complex and timeconsuming tasks efficiently. Unlike conventional programming paradigms, reactive programming enable programmers to enhance an a lica i ’ performance and user experience by performing time-consuming and complex tasks in the background.


 The model allows programmers to express and process both static and dynamic data flows directly through programming languages.  The use of asynchronous data streams further differentiates reactive programming from other programming models. But the asynchronous data streams make programmers to compose and write code in a completely different way. Hence, it becomes essential for programming to understand important aspects of Reactive programming.


Understanding Important Aspects of Reactive Programming Four Guiding Principles

The programmers must keep in mind four guiding principles of reactive programming to build reactive applications more efficiently. The first principle emphasizes on keeping the application responsive enough to make it deliver consistent and positive user experience under varying conditions. The second and third principles require developers to focus extensively on the responsive a lica i ’ resilience and scalability. At the same time, the fourth guiding principle of reactive programming requires developers to make the application responsive, resilient, and scalable by using a message-driven architecture as its foundation.


Simplifies Asynchronous Code Writing

The language-specific implementations of popular libraries enable developers to write synchronous code in a number of programming languages while taking advantage of reactive programming concepts. Unlike conventional programming models, reactive programming helps developers to boost the performance of applications by writing high quality asynchronous code. The developers can even use reactive programming to overcome some of the common asynchronous coding issues. For instance, the developers are no longer required to use nested callbacks while developing an app that interacts simultaneously with user interactions and network connections. Likewise, they can get asynchronous tasks processed in the background flawlessly without resolving errors in various asynchronous tasks.


Data Flows can be either Static or Dynamic

Reactive programming focuses extensively on flow. It allows developers to represent both data and events as flow. The developers even have option to unify, transform, separate, or transform the flow while processing specific events. The programming model further allows developers to set up the data flow both statically and dynamically. When the data flows are set up statically, they remain unaltered while the program is being executed. On the other hand, the data flows keep changing during execution of the program if the data flows are set up dynamically. The developers can even create new data flows by using existing data flows. However, the programming paradigm propagates data changes efficiently and instantaneously.


Various Programming Paradigms for Reactive Programming The programmers can combine reactive programming concepts seamlessly with a number of widely used programming paradigms like object-oriented, imperative and functional. For instance, a programmer can opt for object-oriented reactive programming (OORP) to take advantage of reactive and objective-oriented programming concepts at a time. Likewise, functional reactive programming (FRP) enables developers to use reactive and functional programming concepts in a single program. At the same time, the programmers even have option to integrate reactive programming with imperative programming to make the imperative programs operate on active data structures.


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What is reactive programming?  

Most software applications nowadays run on multiple devices platforms, handle much traffic, and process data collected from various sources....

What is reactive programming?  

Most software applications nowadays run on multiple devices platforms, handle much traffic, and process data collected from various sources....

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