issue_comments: 357533967
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| 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/1822#issuecomment-357533967 | https://api.github.com/repos/pydata/xarray/issues/1822 | 357533967 | MDEyOklzc3VlQ29tbWVudDM1NzUzMzk2Nw== | 306380 | 2018-01-14T19:08:52Z | 2018-01-14T19:08:52Z | MEMBER | I would think that the use of numba for sparse matrix multiply would be orthogonal to the choice of parallelizing with apply_ufunc. I think that one can likely do both. |
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