A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits
Key Features
- Explore the advantages of Reactive programming
- Use concurrency and parallelism in RxPY to build powerful reactive applications
- Deploy and scale your reactive applications using Docker
Book Description
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.
What you will learn
- Structure Python code for better readability, testing, and performance
- Explore the world of event-based programming
- Grasp the use of the most common operators in Rx
- Understand reactive extensions beyond simple examples
- Master the art of writing reusable components
- Deploy an application on a cloud platform with Docker and Traefik
Who this book is for
If you are a Python developer who wants to learn Reactive programming to build powerful concurrent and asynchronous applications, this book is for you. Basic understanding of the Python language is all you need to understand the concepts covered in this book.
Table of Contents
- An introduction to Reactive Programming
- Asynchronous Programming in Python
- Functional Reactive Programming
- Exploring Observables and Observers
- Concurrency and Paralellism in RxPY
- Implementation of an Audio Transcoding Server
- Using third-party services
- Dynamic reconfiguration
- Other operators in RxPY
- Testing and Debugging
- Deploying and Scaling your Application
- Reactive Streams for Remote Communication
- A checklist on best practices
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.
