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Using Notebooks As The Unifying Layer For Data Roles At Netflix with Matthew Seal - Episode 54
Tobias Macey interviews Seal about Netflix's decision to run Jupyter notebooks directly as production workloads, and the tooling (papermill, nteract) that lets data analysts, ML scientists, and engineers share one execution layer.
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