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Hands-On Reactive Programming with Python

Hands-On Reactive Programming with Python

By : Picard
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Hands-On Reactive Programming with Python

Hands-On Reactive Programming with Python

By: Picard

Overview of this book

Reactive programming is central to many concurrent systems, but it’s famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Table of Contents (16 chapters)
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Creating observables

Most of the code of a ReactiveX application is composed of operators that are chained together. However, at some point, the source of these events must be exposed as observables. ReactiveX provides many ways to create an observable from any source of data. Many factory operators are already available to convert virtually any source of data or event to an observable, and, should none of these operators be applicable to a situation, it is possible to create an operator from custom code logic.

All of the factory operators in RxPY are implemented as static methods of the Observable class. This means that they are invoked by using Observable.xxx, where xxx is the factory operator, and they return an observable. Also, almost all of these operators take a scheduler as an optional parameter. A scheduler allows you to control how the items are emitted on the observable...

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