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)

Combining observables

The operators listed here combine several source observables into a single observable. Some of them have already been covered in the previous chapters. They are the following:

Operator Description Chapter
combine_latest Emits an item that is the combination of the source observable and the last item emitted from another observable 8
merge Emits items from several observables as they arrive 3
start_with Emits an item as the first item of the observable 8

The join operator

The join operator combines the items emitted by two observables when they are emitted within a specified time window. The join operator is very similar to the combine_latest operator, but with additional time constraints...