Turn any Notebook into a Deployable Dashboard | SciPy 2019 | James Bednar

Panel (panel.holoviz.org ) is a new package that lets you create custom interactive apps and dashboards by connecting user-defined widgets to plots, images, tables, or text. Compared to other approaches, Panel is novel in that it works across nearly all plotting libraries, works just as well in a Jupyter notebook as on a standalone secure web server, uses the same code for both those cases, supports both Python-backed and static HTML/JavaScript exported applications, and can be used to develop rich interactive applications without tying your domain-specific code to any particular GUI or web tools.
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[@FinallyAFreeUsername]

Very nice. Well presented. Installed and started using it in "production" before finishing the video!

[@sammathew243]

The demo with image classification of self at 5:30 onwards, was a great way to engage/motivate the audience. Nice idea for a presentation.

[@konradvernalius5683]

Does anyone know what kind of tool did he use for the presentation slides?

[@kiots03]

I would say is rise.readthedocs.io/en/stable/

[@mokus603]

How does it differ from ipywidgets?

[@datacapitalist]

22:04

[@guywithaplan2259]

does folium work with panel?

[@JamesABednar]

Yes, though Folium doesn't communicate values back to Python, so it will be limited compared to what you can do with GeoViews.

[@IwinMahWay]

Hey brother

[@guywithaplan2259]

@@IwinMahWay YOooo . what are you doing in an old tutorial video