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html_url issue_url id node_id user created_at updated_at author_association body reactions issue performed_via_github_app
https://github.com/simonw/datasette/issues/370#issuecomment-436042445 https://api.github.com/repos/simonw/datasette/issues/370 436042445 MDEyOklzc3VlQ29tbWVudDQzNjA0MjQ0NQ== 82988 2018-11-05T21:30:42Z 2018-11-05T21:31:48Z CONTRIBUTOR

Another route would be something like creating a datasette IPython magic for notebooks to take a dataframe and easily render it as a datasette. You'd need to run the app in the background rather than block execution in the notebook. Related to that, or to publishing a dataframe in notebook cell for use in other cells in a non-blocking way, there may be cribs in something like https://github.com/micahscopes/nbmultitask .

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