Book Image

Hands-On Reactive Programming with Python

By : Romain Picard
Book Image

Hands-On Reactive Programming with Python

By: Romain 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)

Summary

This chapter is an application of all the notions learned in the previous chapters. While relatively small, starting its development by using the layout of a Python package allows us to easily extend it later (which will be done in the next chapters). Also, readability tips, such as using named tuples for items types and using parentheses in operator chains, make this code even easier to follow.

Cyclotron packages are very useful when it comes to structuring code in a functional and reactive way. They avoid writing observable connection boilerplate, and provide directions to write functional code. Cyclotron allows us to write the code logic of the application as pure functions, while keeping side-effects in dedicated locations called drivers.

The audio transcoding application is quite small. It consists of only 200 lines of Python code. However, it already implements a...