Initial stacks #1
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| && apt-get clean | ||
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| ENV CONDA_DIR /opt/conda | ||
| ENV NB_USER jovyan |
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Ok, cool, I'm glad you adopted a non-root convention here as well.
We're going to end up getting reports about file permissions during mounting but we'll cross that bridge (again) later.
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Yes. I think this is where additional doc or helper scripts can help.
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These READMEs and setups are really great @parente. 👍 Very thorough and well thought out. |
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I've force pushed to condense the commits and removed the mistaken header. |
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Cool, I think these look good. |
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Make python package
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I'm submitting this PR not expecting it to get merged as-is, but as a strawman for discussion. It contains:
minimal-notebookwhich acts as a base image or a lightweight notebook environment in which the user can use conda to install everythingscipy-notebookfor a Python 2 and 3 stackr-notebookfor an R stackMost package versions are pegged to allow patch level increases only to avoid breakage across Docker builds. (I've learned this the hard way.)
If this is inline with what people are thinking for this repo, follow-ons might be:
all-spark-notebook(Scala, Python, R w/ Spark 1.4.x plus Yarn and Mesos connectivity preconfigured)data-science-notebook(needs a better name) with Python, R, Julia, Scala, Spark (Brian's request)julia-notebookmaybeI don't want to go too crazy with a ton of different options yet until we know if less is more or not.
Ideally, once these (or alternatives) are merged, the jupyter account on Docker Hub can be configured to build the minimal-notebook stack on commit and webhook build the other stacks on build of that base.