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play-by-play cookie cutter test #6

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rsignell-usgs opened this issue Oct 18, 2018 · 1 comment
Open

play-by-play cookie cutter test #6

rsignell-usgs opened this issue Oct 18, 2018 · 1 comment

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@rsignell-usgs
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rsignell-usgs commented Oct 18, 2018

I successfully used cookiecutter-pangeo-binder to create a repo called "hurricane_trimesh":
https://github.com/rsignell-usgs/hurricane_trimesh

Here's the play-by-play:

  1. On Github GUI, created a new repo called "hurricane_trimesh".

  2. Answered the questions, using "hurricane_trimesh" as project name:
    2018-10-18_15-27-07

  3. Verified that hurricane_trimesh folder got created locally:
    2018-10-18_15-28-22

  4. Pushed to github following the github instructions for creating a new repository from the command line:
    2018-10-18_15-41-18

  5. Added my notebooks, changed the environment.yml to suit my environment needs, and modified postBuild to specify a specific version of the jupyterlab-manager extension that is compatible with the specific version of the jupyterlab python package.

  6. Clicked the "launch binder" button and waited (about 20 min) for binder.pangeo.io to build and launch.

  7. Started up trimesh notebook: the kube cluster spun up in only a few minutes.

  8. Calculated the max water level and interactively browsed the output with pyviz:
    2018-10-18_16-38-31

Thanks @jhamman for an awesome tool!

@jhamman
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jhamman commented Nov 8, 2018

@rsignell-usgs - I'm not sure how to close this issue. I added a bit in the pangeo-binder docs on how to use this: https://pangeo-binder.readthedocs.io/en/latest/#using-the-pangeo-binder-cookiecutter

We can certainly add more to this section.

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