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1 row where issue = 377155320 and user = 9599 sorted by updated_at descending

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  • simonw · 1 ✖

issue 1

  • Integration with JupyterLab · 1 ✖

author_association 1

  • OWNER 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
435974786 https://github.com/simonw/datasette/issues/370#issuecomment-435974786 https://api.github.com/repos/simonw/datasette/issues/370 MDEyOklzc3VlQ29tbWVudDQzNTk3NDc4Ng== simonw 9599 2018-11-05T18:06:56Z 2018-11-05T18:06:56Z OWNER

I've been thinking a bit about ways of using Jupyter Notebook more effectively with Datasette (thinks like a publish_dataframes(df1, df2, df3) function which publishes some Pandas dataframes and returns you a URL to a new hosted Datasette instance) but you're right, Jupyter Lab is potentially a much more interesting fit.

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Integration with JupyterLab 377155320  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);
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