Hands-On Reactive Programming with Python [Video]
Hands-On Reactive Programming with Python [Video]
English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 2h 34m | 537 MB
eLearning | Skill level: All Levels
Hands-On Reactive Programming with Python [Video]: 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.
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
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.
