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Functional reactive data flows for GUIs and distributed network applications
An excellent training about Programming Languages
Reactive Programming in Python
This video will be your guide to getting started with Reactive programming in Python. You will begin with the general concepts of Reactive programming and then gradually move on to work with asynchronous data streams. You will then be introduced to functional reactive programming and will learn to apply FRP in practical use cases in Python. You will understand how ReactiveX works and how it efficiently supports sequences of data. You will then understand the role of asynchronous programming and event-based programming in detail to build reactive extensions. You will learn to create dataflow-based systems, the building blocks of reactive programming. This course will take you through creating, merging, filtering, transforming, and error-handling observables to extend your asynchronous code. You will then learn to scale applications using multi-node clusters and will learn to unit-test your clusters. This video also introduces you to Reactive microservices with Python. About the AuthorRudolf Olah is a software development expert who has presented at PyCon Canada 2017 on Python as a Programming Philosophy (Jupyter Notebooks, Sphinx and Python), and the Toronto Node. js meetup in 2015 on Node. js as an API Shim. In between, he has presented on Freedombox on Raspberry Pi. He has trained developers in how to use Elm, TypeScript, and AngularJS. For Packt Publishing, he is the author of the Testing AngularJS video course, and keeps Angular developers up-to-date with the Learning AngularJS newsletter. Rudolf blogs about free/open source software at SourceContribute and about Python, web development, and tech leadership at NeverFriday.
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