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1 row where "closed_at" is on date 2018-04-09, comments = 17 and user = 1197350 sorted by updated_at descending
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 293913247 | MDU6SXNzdWUyOTM5MTMyNDc= | 1882 | xarray tutorial at SciPy 2018? | rabernat 1197350 | closed | 0 | 17 | 2018-02-02T14:52:11Z | 2018-04-09T20:30:13Z | 2018-04-09T20:30:13Z | MEMBER | It would be great to hold an xarray tutorial at SciPy 2018. Xarray has matured a lot recently, and it would be great to raise awareness of what it can do among the broader scipy community. From the conference website:
I'm curious if anyone was already planning on submitting a tutorial. If not, let's put together a team. @jhamman has indicated interest in participating in, but not leading, the tutorial. Anyone else interested? xref pangeo-data/pangeo#97 |
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completed | xarray 13221727 | issue |
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