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)

Conditional operators

The operators listed here provide ways to apply conditions on observables or items emitted.

The all operator

The all operator indicates whether all items emitted in the source observable meet some criteria. The following figure shows the marble diagram of this operator:

Figure 9.26: The all operator

Its prototype is the following:

Observable.all(self, predicate)

Here, the predicate parameter is a function called for each item emitted by the source observable. If the predicate function returns True for all items emitted on the source observable, then the operator emits a True item. Otherwise, it emits a False item.

Here is an example of the all operator:

numbers = Observable.from_([11, 12, 13, 14])

numbers...