Hands-On Reactive Programming with Python

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$125 | Duration: 2h 34m | Video: h264, 1920x1080 | Audio: AAC, 48kHz, 2 Ch | 533 MB
Genre: eLearning | Language: English | November 30, 2018

Build reactive applications with Python. Make your applications concurrent and asynchronous with RxPY

Reactive Programming makes things easier by adding a toolbox of operators to filter, create, transform, and unify any of those observable streams. In just a few lines of maintainable code, we can have web sockets that receive multiple requests and handle them on an asynchronous process that serves a filtered output.

This practical guide will take you steadily through an exploration of Reactive Programming. In this course, you will learn about Reactive Programming in Python using RxPY and simplify the way you write code and create robust enterprise applications. The course covers the major libraries on Python reactive extensions (RxPY) and explains in detail the role of asynchronous programming and event-based programming in building reactive extensions. You will look deep into its provided classes, methods, and operators, to help you to build a reactive application.

By the end of the course, you will be equipped to solve real-world problems and have a clear understanding of when and how you should use the different approaches demonstrated in RxPY.

The code bundle for this video course is available at -

Style and Approach
A step-by-step guide to understanding and implementing Reactive Programming in Python to build a reactive application. Each part of this course involves practical examples for almost all RxPY library operators and modules, to help you to build a reactive application in Python.

Table of Contents
INTRODUCTION AND SETUP
CREATING USER OBSERVERS AND OBSERVABLES
IMPLEMENTATION OF OBSERVABLES USING RXPY OPERATORS AND CHAINING
COMBINING OBSERVABLES AND READING DATA IN RXPY
IMPLEMENTATION OF MULTICASTING AND CONCURRENCY

What You Will Learn
Build reactive applications with fewer lines of code using RxPY
Understanding the difference between Reactive and Event-Driven/Non-Reactive programming
Best practices to create and use observables and observers
Using and implementing RxPY-provided operators and chaining in observables
Understand the working of event emitting and multicasting in RxPY using observables and events
Achieve concurrency and create factories in Python reactive programming
Implement concurrent and asynchronous functional application development

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