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Merge branch 'master' into conda_outdated

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Romain
2020-02-27 22:38:55 +01:00
committed by GitHub
parent 083e2bbe33 0ce64578df
commit 5de148d34e
4 changed files with 294 additions and 527 deletions
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5
base-notebook/Dockerfile
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@@ -84,6 +84,7 @@ RUN cd /tmp && \
conda config --system --prepend channels conda-forge && \ conda config --system --prepend channels conda-forge && \
conda config --system --set auto_update_conda false && \ conda config --system --set auto_update_conda false && \
conda config --system --set show_channel_urls true && \ conda config --system --set show_channel_urls true && \
conda config --system --set channel_priority strict && \
if [ ! $PYTHON_VERSION = 'default' ]; then conda install --yes python=$PYTHON_VERSION; fi && \ if [ ! $PYTHON_VERSION = 'default' ]; then conda install --yes python=$PYTHON_VERSION; fi && \
conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \ conda list python | grep '^python ' | tr -s ' ' | cut -d '.' -f 1,2 | sed 's/$/.*/' >> $CONDA_DIR/conda-meta/pinned && \
conda install --quiet --yes conda && \ conda install --quiet --yes conda && \
@@ -126,9 +127,7 @@ ENTRYPOINT ["tini", "-g", "--"]
CMD ["start-notebook.sh"] CMD ["start-notebook.sh"]
# Copy local files as late as possible to avoid cache busting # Copy local files as late as possible to avoid cache busting
COPY start.sh /usr/local/bin/ COPY start.sh start-notebook.sh start-singleuser.sh /usr/local/bin/
COPY start-notebook.sh /usr/local/bin/
COPY start-singleuser.sh /usr/local/bin/
COPY jupyter_notebook_config.py /etc/jupyter/ COPY jupyter_notebook_config.py /etc/jupyter/
# Fix permissions on /etc/jupyter as root # Fix permissions on /etc/jupyter as root

788
docs/locale/en/LC_MESSAGES/using.po
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5
docs/using/selecting.md
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@@ -160,4 +160,9 @@ The core stacks are just a tiny sample of what's possible when combining Jupyter
* [sage-notebook](https://github.com/sharpTrick/sage-notebook) is a community Jupyter Docker Stack image with the [sagemath](https://sagemath.org) kernel on top of the minimal-notebook image. Click here to launch it on [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sharpTrick/sage-notebook/master). * [sage-notebook](https://github.com/sharpTrick/sage-notebook) is a community Jupyter Docker Stack image with the [sagemath](https://sagemath.org) kernel on top of the minimal-notebook image. Click here to launch it on [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/sharpTrick/sage-notebook/master).
* [GPU-Jupyter](https://github.com/iot-salzburg/gpu-jupyter/): Leverage Jupyter Notebooks with the power of your NVIDIA GPU and perform GPU calculations using Tensorflow and Pytorch in collaborative notebooks.
This is done by generating a Dockerfile, that consists of the **nvidia/cuda** base image,
the well-maintained **docker-stacks** that is integrated as submodule
and GPU-able libraries like **Tensorflow**, **Keras** and **PyTorch** on top of it.
See the [contributing guide](../contributing/stacks.md) for information about how to create your own Jupyter Docker Stack. See the [contributing guide](../contributing/stacks.md) for information about how to create your own Jupyter Docker Stack.

23
r-notebook/Dockerfile
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@@ -25,26 +25,25 @@ USER $NB_UID
# R packages # R packages
RUN conda install --quiet --yes \ RUN conda install --quiet --yes \
'r-base=3.6.1' \ 'r-base=3.6.2' \
'r-caret=6.0*' \ 'r-caret=6.0*' \
'r-crayon=1.3*' \ 'r-crayon=1.3*' \
'r-devtools=2.0*' \ 'r-devtools=2.2*' \
'r-forecast=8.7*' \ 'r-forecast=8.11*' \
'r-hexbin=1.27*' \ 'r-hexbin=1.28*' \
'r-htmltools=0.3*' \ 'r-htmltools=0.4*' \
'r-htmlwidgets=1.3*' \ 'r-htmlwidgets=1.5*' \
'r-irkernel=1.0*' \ 'r-irkernel=1.1*' \
'r-nycflights13=1.0*' \ 'r-nycflights13=1.0*' \
'r-plyr=1.8*' \ 'r-plyr=1.8*' \
'r-randomforest=4.6*' \ 'r-randomforest=4.6*' \
'r-rcurl=1.95*' \ 'r-rcurl=1.98*' \
'r-reshape2=1.4*' \ 'r-reshape2=1.4*' \
'r-rmarkdown=1.14*' \ 'r-rmarkdown=2.1*' \
'r-rodbc=1.3*' \ 'r-rodbc=1.3*' \
'r-rsqlite=2.1*' \ 'r-rsqlite=2.1*' \
'r-shiny=1.3*' \ 'r-shiny=1.4*' \
'r-sparklyr=1.0*' \ 'r-tidyverse=1.3*' \
'r-tidyverse=1.2*' \
'unixodbc=2.3.*' \ 'unixodbc=2.3.*' \
&& \ && \
conda clean --all -f -y && \ conda clean --all -f -y && \