Applying reactive programming in tasks

Reactive programming is a paradigm that involves the generation of streams that undergo a series of operations to propagate some changes during the process. Python has an RxPY library that offers several methods that we can apply to these streams asynchronously to extract the terminal result as desired by the subscribers.

In the reactive programming paradigm, all intermediate operators working along the streams will execute to propagate some changes if there is an Observable instance beforehand and an Observer that subscribes to this instance. The main goal of this paradigm is to achieve the desired result at the end of the propagation process using functional programming.

Creating the Observable data using coroutines

It all starts with the implementation of a coroutine function that will emit these streams of data based on a business process. The following is an Observable function that emits publication details in str format for those...