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I suggest to somehow separate those notebooks requiring python and imglyb from the "pure" ImageJ tutorial notebooks and create two distinct environment.yml files. This would allow the startup of the latter on mybinder.org to be much faster, due to smaller image sizes.
The text was updated successfully, but these errors were encountered:
Binder looks into the root level or into ./binder to find the environment.yml file, but AFAICT only allows a single environment per repository/branch.
To allow having a minimal environment for the ImageJ notebooks that do not use python and imglyb, we therefore have two options:
have different branches for different environment.yml files to be used by repo2docker/binder
split this repository into separate components for "pure ImageJ" and "Imglyb/Python-related" stuff, maybe tutorials, tutorials-python, and even tutorials-ops?
I would rather use separate repositories than separate branches. I personally find multiple branches to be less accessible, especially for new users of git.
Quantitatively, how burdensome are these extra dependencies per Binder instance startup? That is: excluding the build time (which is slow in any case), what is the difference in startup time between a Binder instance with only the scijava-jupyter-kernel, vs. one with the Python stack? Unless the difference is substantial, I favor keeping all dependencies declared in a single environment in a consolidated notebook repository.
I suggest to somehow separate those notebooks requiring
python
andimglyb
from the "pure" ImageJ tutorial notebooks and create two distinctenvironment.yml
files. This would allow the startup of the latter on mybinder.org to be much faster, due to smaller image sizes.The text was updated successfully, but these errors were encountered: