[python #QJT-108858]: MetPy Mondays #3 & #6: problems using yml file to create unidata workshop environment...
- Subject: [python #QJT-108858]: MetPy Mondays #3 & #6: problems using yml file to create unidata workshop environment...
- Date: Fri, 15 May 2020 13:00:55 -0600
Hello! Thanks for reaching out with your question.
I was able to use your provided environment.yml file to create this environment
on my Ubuntu Linux subsystem on Windows without issue following your same
commands. Thanks to your helpful screenshots, I noticed you are using a
VirtualBox VM here, and per this conda GitHub issue
(https://github.com/conda/conda/issues/7614) it appears that this `Killed` can
be a response when conda runs out of memory. So, this should work if you
increase the amount of memory available to your VM.
Separately, a word of note, that python-workshop repository has been archived
in favor of our Unidata Python Training website and its accompanying
repository! I advise checking these out at the links below:
https://github.com/Unidata/python-training (where you can find our currently
maintained environment.yml for the training, workshop, and gallery!)
I hope this helps; if not, please don't hesitate to follow up!
All the best,
> Hi there,
> Going through the MetPy Mondays I was trying to create an environment as
> indicated in the video (#3). I meant to use the unidata workshop
> environment to be able to follow the MetPy Mondays #6, where it is used,
> I followed the link to get to the yml file (
> https://github.com/Unidata/python-workshop/blob/master/environment.yml), so
> I copied the content in vi and I removed some extra spaces to be "sure all
> of the headers (eg name:, channels:, dependencies:) start on the same
> column" as mentioned in the video comments. I was unsuccessful :-(
> Please find attached the yml file and the screenshot of the process in case
> it helps.
> I think I am following everything steps by step but there is something that
> does not work...
> I know the internet is slow these days... so is it killed because it takes
> too long?
Ticket ID: QJT-108858
Department: Support Python
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