diff --git a/datascience-notebook/Dockerfile~ b/datascience-notebook/Dockerfile~ deleted file mode 100644 index 04d19234..00000000 --- a/datascience-notebook/Dockerfile~ +++ /dev/null @@ -1,80 +0,0 @@ -FROM jupyter/minimal-notebook - -MAINTAINER Jupyter Project - -# R pre-requisites -RUN apt-get update && \ - apt-get install -y --no-install-recommends \ - libxrender1 \ - fonts-dejavu \ - gfortran \ - gcc && apt-get clean - - -USER jovyan - - -# Install Python 3 packages -RUN conda install --yes \ - 'pandas=0.16*' \ - 'matplotlib=1.4*' \ - 'scipy=0.15*' \ - 'seaborn=0.6*' \ - 'scikit-learn=0.16*' \ - 'scikit-image=0.11*' \ - 'sympy=0.7*' \ - 'cython=0.22*' \ - 'patsy=0.3*' \ - 'statsmodels=0.6*' \ - 'cloudpickle=0.1*' \ - 'dill=0.2*' \ - 'numba=0.20*' \ - 'bokeh=0.9*' \ - && conda clean -yt - -# Install Python 2 packages and kernel spec -RUN conda create -p $CONDA_DIR/envs/python2 python=2.7 \ - 'ipython=3.2*' \ - 'pandas=0.16*' \ - 'matplotlib=1.4*' \ - 'scipy=0.15*' \ - 'seaborn=0.6*' \ - 'scikit-learn=0.16*' \ - 'scikit-image=0.11*' \ - 'sympy=0.7*' \ - 'cython=0.22*' \ - 'patsy=0.3*' \ - 'statsmodels=0.6*' \ - 'cloudpickle=0.1*' \ - 'dill=0.2*' \ - 'numba=0.20*' \ - 'bokeh=0.9*' \ - pyzmq \ - && conda clean -yt -RUN $CONDA_DIR/envs/python2/bin/python \ - $CONDA_DIR/envs/python2/bin/ipython \ - kernelspec install-self --user - -# R packages -RUN conda config --add channels r -RUN conda install --yes \ - 'r-base=3.2*' \ - 'r-irkernel=0.4*' \ - 'r-plyr=1.8*' \ - 'r-devtools=1.8*' \ - 'r-dplyr=0.4*' \ - 'r-ggplot2=1.0*' \ - 'r-tidyr=0.2*' \ - 'r-shiny=0.12*' \ - 'r-rmarkdown=0.7*' \ - 'r-forecast=5.8*' \ - 'r-stringr=0.6*' \ - 'r-rsqlite=1.0*' \ - 'r-reshape2=1.4*' \ - 'r-nycflights13=0.1*' \ - 'r-caret=6.0*' \ - 'r-rcurl=1.95*' \ - 'r-randomforest=4.6*' && conda clean -yt - -# Switch back to root so that supervisord runs under that user -USER root diff --git a/datascience-notebook/README.md~ b/datascience-notebook/README.md~ deleted file mode 100644 index 9d74ec3c..00000000 --- a/datascience-notebook/README.md~ +++ /dev/null @@ -1,30 +0,0 @@ -# Jupyter Notebook Scientific Python Stack - -## What it Gives You - -* Jupyter Notebook server v3.2.x -* Conda Python 3.4.x and Python 2.7.x environments -* pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed -* Conda R v3.2.x and channel -* plyr, devtools, dplyr, ggplot2, tidyr, shiny, rmarkdown, forecast, stringr, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed -* Options for HTTPS, password auth, and passwordless `sudo` - -## Basic Use - -The following command starts a container with the Notebook server listening for HTTP connections on port 8888 without authentication configured. - -``` -docker run -d -p 8888:8888 jupyter/scipy-notebook -``` - -## Options - -You may customize the execution of the Docker container and the Notebook server it contains with the following optional arguments. - -* `-e PASSWORD="YOURPASS"` - Configures Jupyter Notebook to require the given password. Should be conbined with `USE_HTTPS` on untrusted networks. -* `-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. -* `-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.** -* `-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). -* `-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. -* `-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. -* `-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.