issue_comments: 565516039
This data as json
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
https://github.com/pydata/xarray/issues/3564#issuecomment-565516039 | https://api.github.com/repos/pydata/xarray/issues/3564 | 565516039 | MDEyOklzc3VlQ29tbWVudDU2NTUxNjAzOQ== | 1197350 | 2019-12-13T16:50:45Z | 2019-12-13T16:50:45Z | MEMBER |
This is a good question. We need the tutorials to be able to run and build within a CI environment. That's the main constraint. For larger datasets, rather than storing them in github, a good approach is to create an archive on https://zenodo.org/ from which the data can be pulled. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
527323165 |