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 introduced some semantics of functional programming and how they apply these to Python code. This is by no means a complete guide to functional programming, but it covers everything that is needed to start out with functional programming: lambdas, closures, side effects, pure functions, and higher-order functions.

You should now have all the key elements to start writing functional and reactive applications. Hopefully, just like the many JavaScript developers using it today, you will find the architecture proposed in this chapter elegant, easy to use once you have the correct mindset, and scalable (in term of code size).

The application of this architecture on the echo server showed you how to solve real-life challenges, such as observable cycles. Moreover, by keeping the application logic pure, it becomes easy to add new features by implementing new components...