Reactive Programming Principles explained

Reactive programming is a programming paradigm that focuses on constructing responsive and robust software applications that can handle asynchronous data streams and change propagation, allowing developers to create scalable and more easily maintainable applications that can adapt to a dynamic environment.

In this article, we will delve into the principles of reactive programming, its benefits, and the techniques used to implement it.

Understanding Reactive Programming

In a reactive system, data flows through streams, which can be thought of as sequences of events over time.

Reactive programming revolves around the following principles:

a. Data Streams

Data streams are the core concept of reactive programming. They represent sequences of events that occur over time, such as user inputs, API calls, or sensor readings. Streams can be combined, filtered, and transformed to create new streams, which allows developers to build complex and dynamic applications.

b. Observables

Observables are objects that represent data streams. They provide a way to create, manipulate, and subscribe to data streams in a reactive system. Observables act as the bridge between the data source and the data consumers.