Reactive Programming in Python

Reactive Programming in Python

In relation to Internet of Things, micro services, and big data, a developer is easily being expected to handle the stream of data flow. A growing fantasy of Reactive programming is being told that a paradigm can help people to face these challenges in theory and practice and to make life easier. Is it True? Or, does it SCALE?

Join the quest to to discover reactive design and data workflow implemented in Python. We’ll inspect their features and use cases of reactive programming, to name a few, Python built-in, PyFunctional, RxPy, concurrent.futures, … etc., study their best practices, and discover the elegant part compared with commonly seen sequential chaining. We also want to know when it may complicate your code.

Keywords: functional, asynchronous, map, data flow, stream

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Keith Yang

June 03, 2016
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