jupyter · minrk · Aug 11, 2017 · Aug 10, 2017
diff --git a/all-spark-notebook/README.md b/all-spark-notebook/README.md
@@ -6,7 +6,7 @@
 ## What it Gives You
 
 * Jupyter Notebook 4.3.x
-* Conda Python 3.x and Python 2.7.x environments
+* Conda Python 3.x environment
 * Conda R 3.3.x environment
 * Scala 2.11.x
 * pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed for Python
@@ -270,33 +270,19 @@ For additional information about using SSL, see the following:
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
 
-
 ## Conda Environments
 
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. A second Python 2.x Conda environment exists in `/opt/conda/envs/python2`. You can [switch to the python2 environment](http://conda.pydata.org/docs/using/envs.html#change-environments-activate-deactivate) in a shell by entering the following:
-
-```
-source activate python2
-```
-
-You can return to the default environment with this command:
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
 
-```
-source deactivate
-```
-
-The commands `jupyter`, `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
 
 ```
-# install a package into the python2 environment
-pip2 install some-package
-conda install -n python2 some-package
-
 # install a package into the default (python 3.x) environment
-pip3 install some-package
-conda install -n python3 some-package
+pip install some-package
+conda install some-package
 ```
 
+
 ## Alternative Commands
 
 ### start-singleuser.sh

diff --git a/base-notebook/README.md b/base-notebook/README.md
@@ -88,9 +88,19 @@ For additional information about using SSL, see the following:
 * The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
-## Conda Environment
 
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. The commands `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in this environment.
+## Conda Environments
+
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
+
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+
+```
+# install a package into the default (python 3.x) environment
+pip install some-package
+conda install some-package
+```
+
 
 ## Alternative Commands
 

diff --git a/datascience-notebook/README.md b/datascience-notebook/README.md
@@ -5,7 +5,7 @@
 ## What it Gives You
 
 * Jupyter Notebook 5.0.x
-* Conda Python 3.x and Python 2.7.x environments
+* Conda Python 3.x environment
 * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh pre-installed
 * Conda R v3.3.x and channel
 * plyr, devtools, shiny, rmarkdown, forecast, rsqlite, reshape2, nycflights13, caret, rcurl, and randomforest pre-installed
@@ -90,32 +90,20 @@ For additional information about using SSL, see the following:
 * The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
-## Conda Environments
-
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. A second Python 2.x Conda environment exists in `/opt/conda/envs/python2`. You can [switch to the python2 environment](http://conda.pydata.org/docs/using/envs.html#change-environments-activate-deactivate) in a shell by entering the following:
-
-```
-source activate python2
-```
 
-You can return to the default environment with this command:
+## Conda Environments
 
-```
-source deactivate
-```
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
 
-The commands `jupyter`, `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
 
 ```
-# install a package into the python2 environment
-pip2 install some-package
-conda install -n python2 some-package
-
 # install a package into the default (python 3.x) environment
-pip3 install some-package
-conda install -n python3 some-package
+pip install some-package
+conda install some-package
 ```
 
+
 ## Alternative Commands
 
 ### start-singleuser.sh

diff --git a/minimal-notebook/README.md b/minimal-notebook/README.md
@@ -89,9 +89,19 @@ For additional information about using SSL, see the following:
 * The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
-## Conda Environment
 
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. The commands `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in this environment.
+## Conda Environments
+
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
+
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+
+```
+# install a package into the default (python 3.x) environment
+pip install some-package
+conda install some-package
+```
+
 
 ## Alternative Commands
 

diff --git a/pyspark-notebook/README.md b/pyspark-notebook/README.md
@@ -5,7 +5,7 @@
 ## What it Gives You
 
 * Jupyter Notebook 5.0.x
-* Conda Python 3.x and Python 2.7.x environments
+* Conda Python 3.x environment
 * pyspark, pandas, matplotlib, scipy, seaborn, scikit-learn pre-installed
 * Spark 2.2.0 with Hadoop 2.7 for use in local mode or to connect to a cluster of Spark workers
 * Mesos client 1.2 binary that can communicate with a Mesos master
@@ -162,34 +162,19 @@ For additional information about using SSL, see the following:
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
 
-
-
 ## Conda Environments
 
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. A second Python 2.x Conda environment exists in `/opt/conda/envs/python2`. You can [switch to the python2 environment](http://conda.pydata.org/docs/using/envs.html#change-environments-activate-deactivate) in a shell by entering the following:
-
-```
-source activate python2
-```
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
 
-You can return to the default environment with this command:
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
 
 ```
-source deactivate
-```
-
-The commands `jupyter`, `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
-
-```
-# install a package into the python2 environment
-pip2 install some-package
-conda install -n python2 some-package
-
 # install a package into the default (python 3.x) environment
-pip3 install some-package
-conda install -n python3 some-package
+pip install some-package
+conda install some-package
 ```
 
+
 ## Alternative Commands
 
 ### start-singleuser.sh

diff --git a/scipy-notebook/Dockerfile b/scipy-notebook/Dockerfile
@@ -47,54 +47,8 @@ RUN conda install --quiet --yes \
 # Activate ipywidgets extension in the environment that runs the notebook server
 RUN jupyter nbextension enable --py widgetsnbextension --sys-prefix
 
-# Install Python 2 packages
-# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
-# use notebook-friendly backends in these images
-RUN conda create --quiet --yes -p $CONDA_DIR/envs/python2 python=2.7 \
-    'nomkl' \
-    'ipython=5.3*' \
-    'ipywidgets=6.0*' \
-    'pandas=0.19*' \
-    'numexpr=2.6*' \
-    'matplotlib=2.0*' \
-    'scipy=0.19*' \
-    'seaborn=0.7*' \
-    'scikit-learn=0.18*' \
-    'scikit-image=0.12*' \
-    'sympy=1.0*' \
-    'cython=0.25*' \
-    'patsy=0.4*' \
-    'statsmodels=0.8*' \
-    'cloudpickle=0.2*' \
-    'dill=0.2*' \
-    'numba=0.31*' \
-    'bokeh=0.12*' \
-    'hdf5=1.8.17' \
-    'h5py=2.6*' \
-    'sqlalchemy=1.1*' \
-    'pyzmq' \
-    'vincent=0.4.*' \
-    'beautifulsoup4=4.5.*' \
-    'xlrd' && \
-    conda remove -n python2 --quiet --yes --force qt pyqt && \
-    conda clean -tipsy
-# Add shortcuts to distinguish pip for python2 and python3 envs
-RUN ln -s $CONDA_DIR/envs/python2/bin/pip $CONDA_DIR/bin/pip2 && \
-    ln -s $CONDA_DIR/bin/pip $CONDA_DIR/bin/pip3
-
 # Import matplotlib the first time to build the font cache.
 ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
-RUN MPLBACKEND=Agg $CONDA_DIR/envs/python2/bin/python -c "import matplotlib.pyplot"
-
-USER root
-
-# Install Python 2 kernel spec globally to avoid permission problems when NB_UID
-# switching at runtime and to allow the notebook server running out of the root
-# environment to find it. Also, activate the python2 environment upon kernel
-# launch.
-RUN pip install kernda --no-cache && \
-    $CONDA_DIR/envs/python2/bin/python -m ipykernel install && \
-    kernda -o -y /usr/local/share/jupyter/kernels/python2/kernel.json && \
-    pip uninstall kernda -y
+RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot"
 
 USER $NB_USER
diff --git a/scipy-notebook/README.md b/scipy-notebook/README.md
@@ -5,7 +5,7 @@
 ## What it Gives You
 
 * Jupyter Notebook 5.0.x
-* Conda Python 3.x and Python 2.7.x environments
+* Conda Python 3.x environment
 * pandas, matplotlib, scipy, seaborn, scikit-learn, scikit-image, sympy, cython, patsy, statsmodel, cloudpickle, dill, numba, bokeh, vincent, beautifulsoup, xlrd pre-installed
 * Unprivileged user `jovyan` (uid=1000, configurable, see options) in group `users` (gid=100) with ownership over `/home/jovyan` and `/opt/conda`
 * [tini](https://github.com/krallin/tini) as the container entrypoint and [start-notebook.sh](../base-notebook/start-notebook.sh) as the default command
@@ -87,32 +87,20 @@ For additional information about using SSL, see the following:
 * The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
-## Conda Environments
-
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. A second Python 2.x Conda environment exists in `/opt/conda/envs/python2`. You can [switch to the python2 environment](http://conda.pydata.org/docs/using/envs.html#change-environments-activate-deactivate) in a shell by entering the following:
-
-```
-source activate python2
-```
 
-You can return to the default environment with this command:
+## Conda Environments
 
-```
-source deactivate
-```
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
 
-The commands `jupyter`, `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
 
 ```
-# install a package into the python2 environment
-pip2 install some-package
-conda install -n python2 some-package
-
 # install a package into the default (python 3.x) environment
-pip3 install some-package
-conda install -n python3 some-package
+pip install some-package
+conda install some-package
 ```
 
+
 ## Alternative Commands
 
 ### start-singleuser.sh

diff --git a/tensorflow-notebook/Dockerfile b/tensorflow-notebook/Dockerfile
@@ -4,10 +4,5 @@ FROM jupyter/scipy-notebook
 
 MAINTAINER Jupyter Project <jupyter@googlegroups.com>
 
-USER $NB_USER
-
 # Install Python 3 Tensorflow
 RUN conda install --quiet --yes 'tensorflow=1.0*'
-
-# Install Python 2 Tensorflow
-RUN conda install --quiet --yes -n python2 'tensorflow=1.0*'
diff --git a/tensorflow-notebook/README.md b/tensorflow-notebook/README.md
@@ -96,32 +96,20 @@ For additional information about using SSL, see the following:
 * The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
 * The [Jupyter Notebook documentation](https://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
 
-## Conda Environments
-
-The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. A second Python 2.x Conda environment exists in `/opt/conda/envs/python2`. You can [switch to the python2 environment](http://conda.pydata.org/docs/using/envs.html#change-environments-activate-deactivate) in a shell by entering the following:
-
-```
-source activate python2
-```
 
-You can return to the default environment with this command:
+## Conda Environments
 
-```
-source deactivate
-```
+The default Python 3.x [Conda environment](http://conda.pydata.org/docs/using/envs.html) resides in `/opt/conda`. 
 
-The commands `jupyter`, `ipython`, `python`, `pip`, `easy_install`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
+The commands `jupyter`, `ipython`, `python`, `pip`, and `conda` (among others) are available in both environments. For convenience, you can install packages into either environment regardless of what environment is currently active using commands like the following:
 
 ```
-# install a package into the python2 environment
-pip2 install some-package
-conda install -n python2 some-package
-
 # install a package into the default (python 3.x) environment
-pip3 install some-package
-conda install -n python3 some-package
+pip install some-package
+conda install some-package
 ```
 
+
 ## Alternative Commands
 
 ### start-singleuser.sh