This month, we announced the Deephaven Learn library, engineered specifically to deliver Deephaven’s real-time data capabilities to Python data science, and debuted a set of base+ images so that users can download a Docker image that combines Python, Deephaven, and the AI library of their choice. To support these features, we’ve added several articles to Deephaven Community Core’s documentation:
Stay tuned for our upcoming blog series that showcases machine learning examples using Deephaven Learn, as well as discussions of how this library simplifies streaming real-time data workflows for data scientists and engineers.
In addition to this growing collection of AI / ML content, we added several example-based articles to our blog:
Some new and continuing series of note:
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