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The argopy notebook was recently updated to the new interface that is based on PythonCall.jl and CondaPkg.jl (in ArgoData.jl v0.1.23 ).
There are a few ways the Pluto notebook could be improved without too much work probably. For example, a couple other functionalities of argopy could be demonstrated (code cells) and a bit more information on argopy added (markdown cells).
Yes I was able to run the notebook, although it took quite a long time to compile everything
You could add a link toward the argopy documentation: https://argopy.readthedocs.io
One of the most important feature of argopy is that it let users choose how much of the Argo jargon to see with the user mode
Yes I was able to run the notebook, although it took quite a long time to compile everything
Great to hear!
Should be faster the 2nd time around. The time to compile (or rather compile+boot up) here includes installing argopy and its dependencies , and downloading data to plot. Second time around it should skip installing argopy due to :
argopy=try
ArgoData.pyimport(:argopy)
catch
ArgoData.conda(:argopy)
ArgoData.pyimport(:argopy)
end
The argopy notebook was recently updated to the new interface that is based on
PythonCall.jl
andCondaPkg.jl
(inArgoData.jl v0.1.23
).There are a few ways the Pluto notebook could be improved without too much work probably. For example, a couple other functionalities of
argopy
could be demonstrated (code cells) and a bit more information onargopy
added (markdown cells).@gmaze , are you able to run the notebook?
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