issue_comments: 436042445
This data as json
| 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 . | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 377155320 |