Merge pull request #655 from minrk/bumps

bump some packages

README.md

@@ -12,13 +12,13 @@ The two examples below may help you get started if you [have Docker installed](h
 
 The [User Guide on ReadTheDocs](http://jupyter-docker-stacks.readthedocs.io/) describes additional uses and features in detail.
 
-**Example 1:** This command pulls the `jupyter/scipy-notebook` image tagged `2c80cf3537ca` from Docker Hub if it is not already present on the local host. It then starts a container running a Jupyter Notebook server and exposes the server on host port 8888. The server logs appear in the terminal and include a URL to the notebook server. The container remains intact for restart after notebook server exit.
+**Example 1:** This command pulls the `jupyter/scipy-notebook` image tagged `2c80cf3537ca` from Docker Hub if it is not already present on the local host. It then starts a container running a Jupyter Notebook server and exposes the server on host port 8888. The server logs appear in the terminal. Visiting `http://<hostname>:8888/?token=<token>` in a browser loads the Jupyter Notebook dashboard page, where `hostname` is the name of the computer running docker and `token` is the secret token printed in the console. The container remains intact for restart after the notebook server exits.
 
     docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
 
-**Example 2:** This command pulls the `jupyter/r-notebook` image tagged `e5c5a7d3e52d` from Docker Hub if it is not already present on the local host. It then starts an *ephemeral* container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as `/home/jovyan/work` in the container. Docker destroys the container after notebook server exit, but any files written to `~/work` in the container remain intact on the host.
+**Example 2:** This command pulls the `jupyter/datascience-notebook` image tagged `e5c5a7d3e52d` from Docker Hub if it is not already present on the local host. It then starts an *ephemeral* container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as `/home/jovyan/work` in the container. The server logs appear in the terminal. Visiting `http://<hostname>:10000/?token=<token>` in a browser loads JupyterLab, where `hostname` is the name of the computer running docker and `token` is the secret token printed in the console. Docker destroys the container after notebook server exit, but any files written to `~/work` in the container remain intact on the host.
 
-    docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:e5c5a7d3e52d
+    docker run --rm -p 10000:8888 -e JUPYTER_LAB_ENABLE=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
 
 ## Contributing
 

base-notebook/Dockerfile

@@ -81,7 +81,7 @@ RUN cd /tmp && \
 
 # Install Jupyter Notebook and Hub
 RUN conda install --quiet --yes \
-    'notebook=5.4.*' \
+    'notebook=5.5.*' \
     'jupyterhub=0.8.*' \
     'jupyterlab=0.32.*' && \
     conda clean -tipsy && \

docs/index.rst

@@ -12,13 +12,13 @@ Quick Start
 
 The two examples below may help you get started if you `have Docker installed <https://docs.docker.com/install/>`_, know :doc:`which Docker image <using/selecting>` you want to use, and want to launch a single Jupyter Notebook server in a container. The other pages in this documentation describe additional uses and features in detail.
 
-**Example 1:** This command pulls the `jupyter/scipy-notebook` image tagged `2c80cf3537ca` from Docker Hub if it is not already present on the local host. It then starts a container running a Jupyter Notebook server and exposes the server on host port 8888. The server logs appear in the terminal and include a URL to the notebook server. The container remains intact for restart after notebook server exit.::
+**Example 1:** This command pulls the ``jupyter/scipy-notebook`` image tagged ``2c80cf3537ca`` from Docker Hub if it is not already present on the local host. It then starts a container running a Jupyter Notebook server and exposes the server on host port 8888. The server logs appear in the terminal. Visiting ``http://<hostname>:8888/?token=<token>`` in a browser loads the Jupyter Notebook dashboard page, where ``hostname`` is the name of the computer running docker and ``token`` is the secret token printed in the console. The container remains intact for restart after the notebook server exits.::
 
     docker run -p 8888:8888 jupyter/scipy-notebook:2c80cf3537ca
 
-**Example 2:** This command pulls the `jupyter/r-notebook` image tagged `e5c5a7d3e52d` from Docker Hub if it is not already present on the local host. It then starts an *ephemeral* container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as `/home/jovyan/work` in the container. Docker destroys the container after notebook server exit, but any files written to `~/work` in the container remain intact on the host.::
+**Example 2:** This command pulls the ``jupyter/datascience-notebook`` image tagged ``e5c5a7d3e52d`` from Docker Hub if it is not already present on the local host. It then starts an *ephemeral* container running a Jupyter Notebook server and exposes the server on host port 10000. The command mounts the current working directory on the host as ``/home/jovyan/work`` in the container. The server logs appear in the terminal. Visiting ``http://<hostname>:10000/?token=<token>`` in a browser loads JupyterLab, where ``hostname`` is the name of the computer running docker and ``token`` is the secret token printed in the console. Docker destroys the container after notebook server exit, but any files written to ``~/work`` in the container remain intact on the host.::
 
-    docker run --rm -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/r-notebook:e5c5a7d3e52d
+    docker run --rm -p 10000:8888 -e JUPYTER_LAB_ENABLE=yes -v "$PWD":/home/jovyan/work jupyter/datascience-notebook:e5c5a7d3e52d
 
 Table of Contents
 -----------------

scipy-notebook/Dockerfile

@@ -20,17 +20,17 @@ USER $NB_UID
 RUN conda install --quiet --yes \
     'conda-forge::blas=*=openblas' \
     'ipywidgets=7.2*' \
-    'pandas=0.22*' \
+    'pandas=0.23*' \
     'numexpr=2.6*' \
-    'matplotlib=2.1*' \
-    'scipy=1.0*' \
+    'matplotlib=2.2*' \
+    'scipy=1.1*' \
     'seaborn=0.8*' \
     'scikit-learn=0.19*' \
-    'scikit-image=0.13*' \
+    'scikit-image=0.14*' \
     'sympy=1.1*' \
     'cython=0.28*' \
     'patsy=0.5*' \
-    'statsmodels=0.8*' \
+    'statsmodels=0.9*' \
     'cloudpickle=0.5*' \
     'dill=0.2*' \
     'numba=0.38*' \