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)

Miscellaneous recommendations

As a final note, the following are various recommendations on how to use ReactiveX and avoid some more traps.

Favor composition of existing operators

ReactiveX contains many operators. Many new operators can be written by combining several of them together. In such cases, it is preferable to use these existing operators and combine them in a lettable function rather than rewriting the whole logic from scratch. A lettable function is a function that takes an observable as input (with additional arguments if needed), and returns an observable. Such a function can be used as a custom operator with the let operator.

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