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7 rows where issue = 303270676 and user = 703554 sorted by updated_at descending

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  • alimanfoo · 7 ✖

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  • xarray/zarr cloud demo · 7 ✖

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  • CONTRIBUTOR 7
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
371626776 https://github.com/pydata/xarray/issues/1974#issuecomment-371626776 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTYyNjc3Ng== alimanfoo 703554 2018-03-08T21:15:04Z 2018-03-08T21:15:04Z CONTRIBUTOR

It worked! Thanks again, pangeo.pydata.org is super cool.

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  xarray/zarr cloud demo 303270676
371603679 https://github.com/pydata/xarray/issues/1974#issuecomment-371603679 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTYwMzY3OQ== alimanfoo 703554 2018-03-08T19:52:01Z 2018-03-08T19:52:01Z CONTRIBUTOR

I have it running! Will try to start the talk with it.

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  xarray/zarr cloud demo 303270676
371561259 https://github.com/pydata/xarray/issues/1974#issuecomment-371561259 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU2MTI1OQ== alimanfoo 703554 2018-03-08T17:30:21Z 2018-03-08T17:30:21Z CONTRIBUTOR

Actually just realising @rabernat and @mrocklin you guys already demoed all of this to ESIP back in January (really nice talk btw). So maybe I don't need to repeat.

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  xarray/zarr cloud demo 303270676
371558334 https://github.com/pydata/xarray/issues/1974#issuecomment-371558334 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU1ODMzNA== alimanfoo 703554 2018-03-08T17:21:08Z 2018-03-08T17:21:08Z CONTRIBUTOR

Thanks @mrocklin.

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  xarray/zarr cloud demo 303270676
371544386 https://github.com/pydata/xarray/issues/1974#issuecomment-371544386 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU0NDM4Ng== alimanfoo 703554 2018-03-08T16:38:48Z 2018-03-08T16:38:48Z CONTRIBUTOR

Ha, Murphy's law. Shame because the combination of jupyterlab interface, launching a kubernetes cluster, and being able to click through to the Dask dashboard looks futuristic cool :-) I was really looking forward to seeing all my jobs spinning through the Dask dashboard as they work. I actually have a pretty packed talk already so don't absolutely need to include this, but if it does come back in time I'll slot it in. Talk starts 8pm GMT so still a few hours yet...

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  xarray/zarr cloud demo 303270676
371538819 https://github.com/pydata/xarray/issues/1974#issuecomment-371538819 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTUzODgxOQ== alimanfoo 703554 2018-03-08T16:22:16Z 2018-03-08T16:22:16Z CONTRIBUTOR

Just tried to run the xarray-data notebook from within pangeo.pydata.org jupyterlab, when I run this command:

gcsmap = gcsfs.mapping.GCSMap('pangeo-data/newman-met-ensemble')

...it hangs there indefinitely. If I keyboard interrupt it bottoms out here:

/opt/conda/lib/python3.6/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options) 71 if source_address: 72 sock.bind(source_address) ---> 73 sock.connect(sa) 74 return sock 75

...suggesting it is not able to make a connection. Am I doing something wrong?

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  xarray/zarr cloud demo 303270676
371299755 https://github.com/pydata/xarray/issues/1974#issuecomment-371299755 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTI5OTc1NQ== alimanfoo 703554 2018-03-07T21:58:49Z 2018-03-07T21:58:49Z CONTRIBUTOR

Wonderful, thanks both!

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  xarray/zarr cloud demo 303270676

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