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)

Using Third-Party Services

This chapter describes some enhancements to the audio transcoding server. The first part describes how to use S3, a database dedicated to object management, to store encoded audio files instead of writing them directly to the filesystem. The second part introduces the Docker engine, and how to use it to install an S3 server on your own machine. The next part is dedicated to the usage of this new storage backend in the transcoding server, in place of directly writing files onto the local disk. The last part shows possible ways to deal with blocking APIs in asynchronous applications, as well as how to benefit from multiple cores for CPU-bound operations.

The following topics will be covered in this chapter:

  • An introduction to S3 storage
  • Installing Docker and Minio
  • Using S3 as storage
  • Dealing with blocking API and CPU-bound operations
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