issue_comments
1 row where issue_url = "https://api.github.com/repos/simonw/datasette/issues/123" and "updated_at" is on date 2019-03-15
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id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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473313975 | https://github.com/simonw/datasette/issues/123#issuecomment-473313975 | https://api.github.com/repos/simonw/datasette/issues/123 | MDEyOklzc3VlQ29tbWVudDQ3MzMxMzk3NQ== | simonw 9599 | 2019-03-15T14:45:46Z | 2019-03-15T14:45:46Z | OWNER | I'm reopening this one as part of #417. Further experience with Python's CSV standard library module has convinced me that pandas is not a required dependency for this. My [sqlite-utils](https://github.com/simonw/sqlite-utils) package can do most of the work here with very few dependencies. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Datasette serve should accept paths/URLs to CSVs and other file formats 275125561 |
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