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Hands-On Reactive Programming with Python

Hands-On Reactive Programming with Python

By : Picard
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Hands-On Reactive Programming with Python

Hands-On Reactive Programming with Python

By: 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)
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A Checklist of Best Practices

To conclude this journey in functional and reactive programming, this last chapter contains some advice on how to use ReactiveX more efficiently, or avoid some issues. The first part helps you choose the operator adapted to each use case. The second part is a reminder of the reason why side-effects should contain as little code as possible. The third part indicates how to deal with situations where nothing happens. Finally, the last part contains recommendations, based on the way ReactiveX observables and observers are specified.

The following topics will be covered in this chapter:

  • The observable creation decision tree
  • Keep side-effects as small as possible
  • What to do when nothing happens
  • Miscellaneous recommendations
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