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9 rows where author_association = "MEMBER" and issue = 563762277 sorted by updated_at descending

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user 4

  • max-sixty 4
  • shoyer 2
  • dcherian 2
  • TomNicholas 1

issue 1

  • ArviZ Dev Xarray Dev Get Together? · 9 ✖

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  • MEMBER · 9 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
605154030 https://github.com/pydata/xarray/issues/3765#issuecomment-605154030 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDYwNTE1NDAzMA== max-sixty 5635139 2020-03-27T17:50:09Z 2020-03-27T17:50:09Z MEMBER

Thanks @canyon289 !

Great to meet you all and I thought really helpful to talk through the cases with everyone. Indeed: having some cases to go over made the time much more productive.

I look forward to keeping the thread going...

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  ArviZ Dev Xarray Dev Get Together? 563762277
600330366 https://github.com/pydata/xarray/issues/3765#issuecomment-600330366 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDYwMDMzMDM2Ng== max-sixty 5635139 2020-03-17T22:27:07Z 2020-03-17T22:27:07Z MEMBER

To the extent we can do later in the day, that would be easier for those on US west coast time...

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  ArviZ Dev Xarray Dev Get Together? 563762277
600165118 https://github.com/pydata/xarray/issues/3765#issuecomment-600165118 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDYwMDE2NTExOA== dcherian 2448579 2020-03-17T16:24:27Z 2020-03-17T16:24:27Z MEMBER

+1 to Doodle poll.

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  ArviZ Dev Xarray Dev Get Together? 563762277
586381452 https://github.com/pydata/xarray/issues/3765#issuecomment-586381452 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NjM4MTQ1Mg== shoyer 1217238 2020-02-14T17:12:39Z 2020-02-14T17:12:39Z MEMBER

You can reach me at my github username at gmail.com :).

On Fri, Feb 14, 2020 at 9:08 AM Ravin Kumar notifications@github.com wrote:

@shoyer https://github.com/shoyer Thanks for the offer, I live in Socal and come to the Bay Area often so I will definitely take you up on that offer. Let me know if there's some good way to contact you, I'm assuming Github issues might be inappropriate :)

@dcherian https://github.com/dcherian I'll circle back with all the folks in ArviZ and we'll get a proposed agenda. Will post again here within a week

And lastly it sounds like scipy is the front running candidate for a conference. Which now means I really need to submit a talk or tutorial today.......

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/3765?email_source=notifications&email_token=AAJJFVQNMBE5A2IJKKVX6TTRC3FZ3A5CNFSM4KTS6W62YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOELZXEWI#issuecomment-586379865, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAJJFVS2JO6TKJGA6W4YVJTRC3FZ3ANCNFSM4KTS6W6Q .

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  ArviZ Dev Xarray Dev Get Together? 563762277
586125672 https://github.com/pydata/xarray/issues/3765#issuecomment-586125672 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NjEyNTY3Mg== shoyer 1217238 2020-02-14T07:00:32Z 2020-02-14T07:00:32Z MEMBER

I’ll probably be at SciPy this year too, at least if my talk(s) get accepted! Would be happy to do a brief call, too.

I know @ColCarroll just joined me at Google, so if he ever makes it out to Mountain View he should hit me up for lunch/coffee. Actually that holds anyone else who works on Python open source for scientific computing, too!

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  ArviZ Dev Xarray Dev Get Together? 563762277
585315729 https://github.com/pydata/xarray/issues/3765#issuecomment-585315729 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NTMxNTcyOQ== dcherian 2448579 2020-02-12T17:17:37Z 2020-02-12T17:17:37Z MEMBER

At least three of us will likely be at SciPy this year (me, @jhamman, @rabernat).

That said, it may be best to schedule a call soon-ish just to say hi and hear about the questions you have. And... we get to think about these questions for a while before SciPy.

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  ArviZ Dev Xarray Dev Get Together? 563762277
585303992 https://github.com/pydata/xarray/issues/3765#issuecomment-585303992 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NTMwMzk5Mg== max-sixty 5635139 2020-02-12T16:53:24Z 2020-02-12T16:53:24Z MEMBER

@TomNicholas we probably do need to be better on SO. I've tried to do more there now I'm not contributing as much. I've found the questions are sometimes difficult to engage with as they're dependent on an external dataset (i.e. much lower quality than those here).

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  ArviZ Dev Xarray Dev Get Together? 563762277
585293994 https://github.com/pydata/xarray/issues/3765#issuecomment-585293994 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NTI5Mzk5NA== TomNicholas 35968931 2020-02-12T16:34:17Z 2020-02-12T16:34:17Z MEMBER

The questions you've put up there so far are general, so would make good StackOverflow questions - it would be nice to put them there for ease of finding by users afterwards.

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  ArviZ Dev Xarray Dev Get Together? 563762277
585224201 https://github.com/pydata/xarray/issues/3765#issuecomment-585224201 https://api.github.com/repos/pydata/xarray/issues/3765 MDEyOklzc3VlQ29tbWVudDU4NTIyNDIwMQ== max-sixty 5635139 2020-02-12T14:14:03Z 2020-02-12T14:14:03Z MEMBER

I'm keen! Given work schedules, it may be easiest to do at a conference. We could also do a remote meeting.

The repo is ideal prep. The current two examples are good general questions about using Xarray even beyond ArviZ.

And more generally, I'm happy that ArviZ has built on top on xarray, and we're keen to support that!

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  ArviZ Dev Xarray Dev Get Together? 563762277

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