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Hands-On Reactive Programming with Python

You're reading from Hands-On Reactive Programming with Python Event-driven development unraveled with RxPY

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781789138726

Length 420 pages

Edition 1st Edition

Languages

Python

Tools

RxPy

Concepts

Reactive Programming

Author (1):

Romain Picard

View More author details

Table of Contents (16) Chapters

Preface

1. An Introduction to Reactive Programming FREE CHAPTER

2. Asynchronous Programming in Python

3. Functional Programming with ReactiveX

4. Exploring Observables and Observers

5. Concurrency and Parallelism in RxPY

6. Implementation of an Audio Transcoding Server

7. Using Third-Party Services

8. Dynamic Reconfiguration and Error Management

9. Operators in RxPY

10. Testing and Debugging

11. Deploying and Scaling Your Application

12. Reactive Streams for Remote Communication

13. A Checklist of Best Practices

14. Assessments

15. Other Books You May Enjoy

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Technical requirements

The transcoding server relies on the sox audio manipulation library. On top of the Python package (which contains only the Python bindings), the sox library must be installed on the host system. On a Debian-based Linux system, type the following command to install it:

$ sudo apt-get install sox

On macOS, the easiest way to install it is via brew:

brew install sox

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Authors (1)

Picard

Picard

Romain Picard is currently a data science engineer. He has been working in the digital TV and telecommunications industry for 20 years. His daily work consists of data manipulation, machine learning model training, and model deployment. Almost all of these tasks are based on Python code, and he uses reactive programming whenever it's applicable. He was previously a media software architect and a software developer. In these previous positions, he designed and developed TV and OTT players that have been used in tens of millions of set top boxes. Romain is especially interested in algorithms, looking for the most suitable algorithm for each use case.

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