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)

Logging

Logging is often an efficient way to start analyzing where an issue comes from. If most actions and errors can be logged easily in the application, then this can become a powerful tool to detect when errors occurred, and understand what happened.

However, for such a mechanism to be really useful, it has to rely on a real logging system, and not only debug traces that must be decommented manually. Fortunately, once again, Python comes with a complete logging system in the standard library. The logging module contains all the features needed to efficiently use logs:

  • Configurable log levels
  • Several logging namespaces
  • The possibility to add new backends to process the logs

So, a good way to help find issues, both during testing and debugging, is to add logs to all important actions and all possible failures. The natural way to implement this is with a logging driver. Such...