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  • Book Overview & Buying Hands-On Reactive Programming with Python
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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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Testing

Testing is a whole topic in itself and many books, blogs, and websites are dedicated to it. The testing field has changed a lot since the beginning of the century: the testing industry evolved from manual validation (sometimes with even no test plan), to a heavily automated process. Automation is great in testing because it allows us to execute many tests in very little time. So, automated tests can be executed more often (on each commit instead of each release, for example). As a consequence, bugs are detected more rapidly, and fixing them is easier. At the end, the product is better and the developer can spend more time implementing new features.

Testing can mean many different things because there are different kinds of test:

  • Unit tests verify that each function of the application works as expected
  • Integration tests verify that the application works correctly with...
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Hands-On Reactive Programming with Python
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