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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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The observable creation decision tree

This book contains the documentation of about 80 operators. The RxPY implementation contains about 130 operators. One of the most difficult parts of ReactiveX is using the most suitable operator for a given task. The following list will help you find which operator to use at that time:

To create an observable:

  • That emits a single item: just
  • That emits a single item returned from a function: Start
  • That emits a sequence from an iterable or a generator: from_
  • That emits a single item after a specified delay: timer
  • That emits a single item from future: from_future
  • That emits a sequence of items repeatedly: repeat
  • From custom logic: create
  • That emits a sequence of consecutive integers: range or from_ (in combination with the Python range function)
  • That emits a sequence of items at particular intervals of time: interval
  • That completes without...

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