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4 rows where issue = 196541604 and user = 7300413 sorted by updated_at descending

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  • JoyMonteiro · 4 ✖

issue 1

  • Some queries · 4 ✖

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  • NONE 4
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
268234430 https://github.com/pydata/xarray/issues/1173#issuecomment-268234430 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODIzNDQzMA== JoyMonteiro 7300413 2016-12-20T12:44:25Z 2016-12-20T12:44:25Z NONE

Playing around with things sounds like much more fun :) I can see how this will be useful, will start thinking of some test cases to code.

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  Some queries 196541604
268113379 https://github.com/pydata/xarray/issues/1173#issuecomment-268113379 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODExMzM3OQ== JoyMonteiro 7300413 2016-12-19T23:54:13Z 2016-12-19T23:54:13Z NONE

Thanks. how big of an endeavour is this? I see some free time from 2-3rd week of Jan, and I could maybe contribute towards making this happen.

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  Some queries 196541604
268105389 https://github.com/pydata/xarray/issues/1173#issuecomment-268105389 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwNTM4OQ== JoyMonteiro 7300413 2016-12-19T23:08:38Z 2016-12-19T23:08:38Z NONE

@shoyer: does this also work with dask.distributed? The doc seems to only mention a thread pool.

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  Some queries 196541604
268104755 https://github.com/pydata/xarray/issues/1173#issuecomment-268104755 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwNDc1NQ== JoyMonteiro 7300413 2016-12-19T23:05:16Z 2016-12-19T23:05:16Z NONE

did not know about that, thanks!!

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  Some queries 196541604

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