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  • xarray/zarr cloud demo · 8 ✖

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371713537 https://github.com/pydata/xarray/issues/1974#issuecomment-371713537 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTcxMzUzNw== jhamman 2443309 2018-03-09T04:56:36Z 2018-03-09T04:56:36Z MEMBER

Glad it worked out for you @alimanfoo. My understanding is that the video recording of your talk will be available on the link you posted. For those that missed the talk but are interested in the zarr package, I highly recommend taking a look at the video. Cheers!

 
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   xarray/zarr cloud demo 303270676
371585169 https://github.com/pydata/xarray/issues/1974#issuecomment-371585169 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU4NTE2OQ== rabernat 1197350 2018-03-08T18:49:58Z 2018-03-08T18:49:58Z MEMBER

@alimanfoo...it looks like we have found a temporary workaround in pangeo-data/pangeo#148

 
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   xarray/zarr cloud demo 303270676
371561783 https://github.com/pydata/xarray/issues/1974#issuecomment-371561783 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU2MTc4Mw== mrocklin 306380 2018-03-08T17:32:08Z 2018-03-08T17:32:08Z MEMBER

Seeing a good thing twice never hurts. The audience is likely not entirely the same. It's also probably the motivation for their interest. It might be useful as an introduction.

On Thu, Mar 8, 2018 at 12:30 PM, Alistair Miles notifications@github.com wrote:

Actually just realising @rabernat https://github.com/rabernat and @mrocklin https://github.com/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.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/1974#issuecomment-371561259, or mute the thread https://github.com/notifications/unsubscribe-auth/AASszCa5pvXIfJk7I1qgIEOtlXqUK3zoks5tcWqwgaJpZM4ShNMy . 

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   xarray/zarr cloud demo 303270676
371548028 https://github.com/pydata/xarray/issues/1974#issuecomment-371548028 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTU0ODAyOA== mrocklin 306380 2018-03-08T16:49:38Z 2018-03-08T16:49:38Z MEMBER

Recorded video if you want: https://youtu.be/rSOJKbfNBNk

On Thu, Mar 8, 2018 at 11:38 AM, Alistair Miles notifications@github.com wrote:

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
371539672 https://github.com/pydata/xarray/issues/1974#issuecomment-371539672 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTUzOTY3Mg== jhamman 2443309 2018-03-08T16:24:47Z 2018-03-08T16:25:07Z MEMBER

@alimanfoo - it sounds like we're generally having connection issues today: https://github.com/pangeo-data/pangeo/issues/148

 
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   xarray/zarr cloud demo 303270676
371539581 https://github.com/pydata/xarray/issues/1974#issuecomment-371539581 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTUzOTU4MQ== rabernat 1197350 2018-03-08T16:24:33Z 2018-03-08T16:24:33Z MEMBER

It has been working for months and broke just in time for your demo: pangeo-data/pangeo#148

There are several folks engaged on that issue trying to figure out what went wrong and how to fix it.

 
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   xarray/zarr cloud demo 303270676
371298243 https://github.com/pydata/xarray/issues/1974#issuecomment-371298243 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTI5ODI0Mw== jhamman 2443309 2018-03-07T21:53:15Z 2018-03-07T21:53:15Z MEMBER

@alimanfoo - take a look at the examples/xarray-data.ipynb notebook on http://pangeo.pydata.org. You should be able to log on using your github credentials.

That notebook is also here: https://github.com/pangeo-data/pangeo/blob/master/gce/notebook/examples/xarray-data.ipynb

 
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   xarray/zarr cloud demo 303270676
371297555 https://github.com/pydata/xarray/issues/1974#issuecomment-371297555 https://api.github.com/repos/pydata/xarray/issues/1974 MDEyOklzc3VlQ29tbWVudDM3MTI5NzU1NQ== rabernat 1197350 2018-03-07T21:50:41Z 2018-03-07T21:50:41Z MEMBER

Just point your browser to http://pangeo.pydata.org and check out the example notebooks!

 
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   xarray/zarr cloud demo 303270676

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