The O’Reilly Jupyter Pop-up

Videos (13)

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  1 — Building analytical microservices powered by Jupyter Kernels - Luciano Resende and Kevin Bates
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  2 — Hosting Notebooks for 100,000 Users - Scott Sanderson
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  3 — State of Jupyter - Matthias Bussonnier
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  4 — Intro to Plotly Dash - Chelsea Douglas
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  5 — Visualizing machine learning algorithms in the Jupyter notebook - Chakri Cherukuri
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  6 — Deep Learning and Deep Integration via Jupyter - Douglas Blank
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  7 — Panel: Jupyter in Education - Allen Downey, Taylor Martin, and Douglas Blank
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  8 — Flipping the classroom with Jupyter and Github - Ryan Cooper
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  9 — Improved Workflow With Isolated Jupyter Environments - Colin Carroll
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  10 — Supporting Reproducibility in Jupyter through Dataflows - David Koop
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  11 — Citizen Data Science campaign - Dave Stuart
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  12 — From Data Exploration to Modeling to Deployment - Roope Astala
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  13 — Accelerate the Machine Learning Pipeline on Very Large Datasets - Aaron Williams