removed ~

datascience-notebook/Dockerfile~

@@ -1,80 +0,0 @@
-FROM jupyter/minimal-notebook
-
-MAINTAINER Jupyter Project <jupyter@googlegroups.com>
-
-# 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

datascience-notebook/README.md~

@@ -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.