Result: Hands-On Reactive Programming with Python

Title:
Hands-On Reactive Programming with Python
Source:
2018
Publisher Information:
Packt Publishing; 2018
Document Type:
Electronic Resource Electronic Resource
Availability:
Open access content. Open access content
Note:
English
Other Numbers:
ESODI oai:odilo.es:00145367
1359426480
Contributing Source:
ODILO
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1359426480
Database:
OAIster

Further Information

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefits

Key Features

Explore the advantages of Reactive programming</li> Use concurrency and parallelism in RxPY to build powerful reactive applications</li> Deploy and scale your reactive applications using Docker</li></ul>

Book Description

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 conceptsThis 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.

What you will learn

Structure Python code for better readability, testing, and performance</li> Explore the world of event-based programming</li> Grasp the use of the most common operators in Rx</li> Understand reactive extensions beyond simple examples</li> Master the art of writing reusable components</li> Deploy an application on a cloud platform with Docker and Traefik