Hands-On Reactive Programming with Python: Event-driven development unraveled with RxPY

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Asynchronous Programming in Python

his chapter covers the principles of asynchronous programming and the AsyncIO library. It is composed of three parts. The first one explains what asynchronous programming is, how it is different from synchronous programming, and why and when it is more efficient than synchronous programming. This first part also goes through the history of asynchronous programming in Python to allow you to better understand the current state of Python in this domain. The second part is dedicated to the AsyncIO library. AsyncIO, the official Python asynchronous library, contains all features needed to implement readable asynchronous code. The last part explains how to implement a real application and, more specifically, an HTTP server. By the end of this chapter, you will be able to write an asynchronous network service with AsyncIO.

The following topics will...

Key benefits

Explore the advantages of Reactive programming

Use concurrency and parallelism in RxPY to build powerful reactive applications

Deploy and scale your reactive applications using Docker

Description

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.

What you will learn

Structure Python code for better readability, testing, and performance

Explore the world of event-based programming

Grasp the use of the most common operators in Rx

Understand reactive extensions beyond simple examples

Master the art of writing reusable components

Deploy an application on a cloud platform with Docker and Traefik

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