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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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Chapter 9

How can you print something each time an item is emitted?

It is possible to implement a side-effect without changing the items emitted on an operator chain by using the do_action operator. This operator allows us to call a function on each event type received from its source observable.

How can you compute a value from all the items of an observable?

Two operators can be used to compute a value from all items emitted on an observable: the scan and the reduce operators. Both operators call a function for each item, with an accumulator as input (on top of the item itself). This function must return the updated value of the accumulator.

The difference between scan and reduce is that scan emits the value of the accumulator for each item, while reduce only emits the value when the source observable completes.

How can you subscribe to the latest observable emitted by a higher...

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