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,
https://github.com/simonw/datasette/issues/370#issuecomment-436037692,https://api.github.com/repos/simonw/datasette/issues/370,436037692,MDEyOklzc3VlQ29tbWVudDQzNjAzNzY5Mg==,82988,2018-11-05T21:15:47Z,2018-11-05T21:18:37Z,CONTRIBUTOR,"In terms of integration with `pandas`, I was pondering two different ways `datasette`/`csvs_to_sqlite` integration may work:

- like [`pandasql`](https://github.com/yhat/pandasql), to provide a SQL query layer either by a direct connection to the sqlite db or via `datasette` API;
- as an improvement of `pandas.to_sql()`, which is a bit ropey (e.g. `pandas.to_sql_from_csvs()`, routing the dataframe to sqlite via `csvs_tosqlite` rather than the dodgy mapping that `pandas` supports).

The `pandas.publish_*` idea could be quite interesting though... Would it be useful/fruitful to think about `publish_` as a complement to [`pandas.to_`](https://pandas.pydata.org/pandas-docs/stable/api.html#id12)?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",377155320,