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Real Time ML Pipelines Using Quix with Tomáš Neubauer

The InfoQ Podcast

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How to Build a Python Stream Processing Library

All the code is open source. There's basically a freedom of deployment and running this code anywhere is just a Python. You can also try in Jupyter Notebook. So if you are interested to learn more about stateful processing, we have it in the docs explained. But I think the goal of the library really is to make it simpler. Obviously, it's a journey, but I'm confident that we already have done a great job in making it easier than it was.

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