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Add Julia
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committed by
Peter Parente

parent
79169618d5
commit
008cc9d053
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datascience-notebook/.gitignore
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datascience-notebook/.gitignore
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*~
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@@ -10,6 +10,9 @@ RUN apt-get update && \
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gfortran \
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gfortran \
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gcc && apt-get clean
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gcc && apt-get clean
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# Julia dependencies
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RUN apt-get install -y julia libnettle4 && apt-get clean
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USER jovyan
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USER jovyan
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@@ -76,5 +79,9 @@ RUN conda install --yes \
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'r-rcurl=1.95*' \
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'r-rcurl=1.95*' \
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'r-randomforest=4.6*' && conda clean -yt
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'r-randomforest=4.6*' && conda clean -yt
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# IJulia and Julia packages
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RUN julia -e 'Pkg.add("IJulia")'
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RUN julia -e 'Pkg.add("Gadfly")' && julia -e 'Pkg.add("RDatasets")'
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# Switch back to root so that supervisord runs under that user
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# Switch back to root so that supervisord runs under that user
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USER root
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USER root
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FROM jupyter/minimal-notebook
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MAINTAINER Jupyter Project <jupyter@googlegroups.com>
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# R pre-requisites
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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libxrender1 \
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fonts-dejavu \
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gfortran \
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gcc && apt-get clean
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USER jovyan
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# Install Python 3 packages
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RUN conda install --yes \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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'scikit-image=0.11*' \
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'sympy=0.7*' \
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'cython=0.22*' \
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'patsy=0.3*' \
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'statsmodels=0.6*' \
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'cloudpickle=0.1*' \
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'dill=0.2*' \
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'numba=0.20*' \
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'bokeh=0.9*' \
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&& conda clean -yt
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# Install Python 2 packages and kernel spec
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RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 \
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'ipython=3.2*' \
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'pandas=0.16*' \
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'matplotlib=1.4*' \
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'scipy=0.15*' \
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'seaborn=0.6*' \
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'scikit-learn=0.16*' \
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'scikit-image=0.11*' \
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'sympy=0.7*' \
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'cython=0.22*' \
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'patsy=0.3*' \
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'statsmodels=0.6*' \
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'cloudpickle=0.1*' \
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'dill=0.2*' \
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'numba=0.20*' \
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'bokeh=0.9*' \
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pyzmq \
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&& conda clean -yt
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RUN $CONDA_DIR/envs/python2/bin/python \
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$CONDA_DIR/envs/python2/bin/ipython \
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kernelspec install-self --user
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# R packages
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RUN conda config --add channels r
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RUN conda install --yes \
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'r-base=3.2*' \
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'r-irkernel=0.4*' \
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'r-plyr=1.8*' \
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'r-devtools=1.8*' \
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'r-dplyr=0.4*' \
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'r-ggplot2=1.0*' \
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'r-tidyr=0.2*' \
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'r-shiny=0.12*' \
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'r-rmarkdown=0.7*' \
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'r-forecast=5.8*' \
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'r-stringr=0.6*' \
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'r-rsqlite=1.0*' \
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'r-reshape2=1.4*' \
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'r-nycflights13=0.1*' \
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'r-caret=6.0*' \
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'r-rcurl=1.95*' \
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'r-randomforest=4.6*' && conda clean -yt
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# Switch back to root so that supervisord runs under that user
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USER root
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@@ -1,4 +1,4 @@
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# Jupyter Notebook Scientific Python Stack
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# Jupyter Notebook Data Science Stack
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## What it Gives You
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## What it Gives You
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@@ -0,0 +1,30 @@
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# Jupyter Notebook Scientific Python Stack
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## What it Gives You
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* Jupyter Notebook server v3.2.x
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* Conda Python 3.4.x and Python 2.7.x environments
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* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
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* Conda R v3.2.x and channel
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* plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
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* Options for HTTPS, password auth, and passwordless `sudo`
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## Basic Use
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The following command starts a container with the Notebook server listening for HTTP connections on port 8888 without authentication configured.
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```
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docker run -d -p 8888:8888 jupyter/scipy-notebook
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```
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## Options
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You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments.
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* `-e PASSWORD="YOURPASS"` - Configures Jupyter Notebook to require the given password. Should be conbined with `USE_HTTPS` on untrusted networks.
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* `-e USE_HTTPS=yes` - Configures Jupyter Notebook to accept encrypted HTTPS connections. If a `pem` file containing a SSL certificate and key is not found in `/home/jovyan/.ipython/profile_default/security/notebook.pem`, the container will generate a self-signed certificate for you.
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* `-e GRANT_SUDO=yes` - Gives the `jovyan` user passwordless `sudo` capability. Useful for installing OS packages. **You should only enable `sudo` if you trust the user or if the container is running on an isolated host.**
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* `-v /some/host/folder/for/work:/home/jovyan/work` - Host mounts the default working directory on the host to preserve work even when the container is destroyed and recreated (e.g., during an upgrade).
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* `-v /some/host/folder/for/server.pem:/home/jovyan/.ipython/profile_default/security/notebook.pem` - Mounts a SSL certificate plus key for `USE_HTTPS`. Useful if you have a real certificate for the domain under which you are running the Notebook server.
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* `-e INTERFACE=10.10.10.10` - Configures Jupyter Notebook to listen on the given interface. Defaults to '*', all interfaces, which is appropriate when running using default bridged Docker networking. When using Docker's `--net=host`, you may wish to use this option to specify a particular network interface.
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* `-e PORT=8888` - Configures Jupyter Notebook to listen on the given port. Defaults to 8888, which is the port exposed within the Dockerfile for the image. When using Docker's `--net=host`, you may wish to use this option to specify a particular port.
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