* Install Pluto.jl and jupyter-pluto-proxy
[Pluto.jl](https://plutojl.org/) is an alternative reactive notebook
frontend focused specifically on Julia. I think shipping this
by default in the julia-enabled images helps serve the Julia
community better, particularly when used with JupyterHub.
For context, I am working with the Julia users of the
[Jupyter Meets the Earth](https://jupytearth.org/) project, and
trying to understand how to best serve their needs on a JupyterHub.
We currently maintain a massive image that 'has everything', but
I'm trying to instead work upstream wherever possible so everyone
working in these subfields can benefit. Meeting Julia users where
they are at seems a useful path forward here.
* Add note about Pluto.jl to selecting.md
* Default to replacing - with _ in package imports
* Add jupyter-pluto-proxy to package import mapping
* Add Pluto.jl to datascience-notebook image
* Add test for pluto proxy starting correctly
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update test_packages.py
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Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
* Add jupyter/julia-notebook
There is a growing number of Julia users in the Jupyter
ecosystem who do not use R, and hence would <3 to have a
dedicated docker image that doesn't bring in all the R
stuff that datascience-notebook brings in! The built image
size is much smaller, and eventually paves the way to
better ecosystem support for Julia.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Add a test for julia-notebook
* Tell tests what julia-notebook inherits from
* Sort lists with julia-notebook
* Fix README for julia-notebook
* Add julia-notebook to the makefile
* Move julia-notebook below r-notebook
* Use hard tabs in Makefile
* Do some more sorting
* Rename test_julia to avoid mypy issue
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Re-order julia/r-notebook
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
* Move julia-notebook stanza under r-notebook
* Update inheritance diagram
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* Add third option: Route container to another local port
Jupyter can have multiple local instances if the used ports don't overlap. Added this as a troubleshooting alternative for users who may want or need to have more than one Jupyter instance running.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update troubleshooting.md
* Update troubleshooting.md
* Update troubleshooting.md
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* Add GPU accelerated images by b-data to community
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
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* Use the JUPYTER_PORT environment variable to configure server port
- Remove port setting in jupyter_server_config.py
- Declare the $JUPYTER_PORT env on the base Dockerfile
- Use it for HEALTHCHECK
* Add test case for JUPYTER_PORT env variable
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update documentation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Update style
* Better wording
* Better wording
* Add test for custom internal port
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Parametrize internal port test case
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Try to fix test
* Better tests
Co-authored-by: Muhammad Aji Muharrom <ajimuharrom@uchicago.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
Co-authored-by: Ayaz Salikhov <mathbunnyru@gmail.com>
* Recipe for Microsoft SQL Server
Dockerfile with Microsoft SQL Server ODBC driver and pyodbc.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Get rid of apt-key, only install what's needed and clean up properly
* Replace apt-get with apt
* Switch from apt to apt-get
* Use --no-install-recommends in the right place
* Use simple pip install
* Install pip package under jovyan
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