How to install jupyter/docker-stacks with python 2.x - python-2.7

Question

I want to install one of the jupyter containers with python 2.X using docker-stacks.
The documentation at GitHub for jupyter/docker-stacks say:
Python 2.x was removed from all images on August 10th, 2017, starting in tag cc9feab481f7. If you wish to continue using Python 2.x, pin to tag 82b978b3ceeb.
See:
https://github.com/jupyter/docker-stacks
I assume you run this as follows to, say for example, install minimal-notebook:
docker run -it --rm -p 8888:8888 jupyter/minimal-notebook:82b978b3ceeb
But after running I find that python 3.x was installed:
sys.version_info(major=3, minor=6, micro=2, releaselevel='final', serial=0)
Here's the output of the 'docker run' command:
$ docker run -it --rm -p 8888:8888 jupyter/minimal-notebook:82b978b3ceeb
/usr/local/bin/start.sh: line 48: [: missing `]'
/usr/local/bin/start.sh: line 48: : command not found
Execute the command
[I 20:55:49.950 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
[W 20:55:49.979 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 20:55:50.010 NotebookApp] JupyterLab alpha preview extension loaded from /opt/conda/lib/python3.6/site-packages/jupyterlab
JupyterLab v0.24.1
Known labextensions:
[I 20:55:50.013 NotebookApp] Running the core application with no additional extensions or settings
[I 20:55:50.016 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 20:55:50.016 NotebookApp] 0 active kernels
[I 20:55:50.017 NotebookApp] The Jupyter Notebook is running at: http://[all ip addresses on your system]:8888/?token=f09a12bf53902cb20aca2f1924011e1e80d51243cc10a390
[I 20:55:50.017 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 20:55:50.017 NotebookApp]
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://localhost:8888/?token=f09a12bf53902cb20aca2f1924011e1e80d51243cc10a390

Answer 1

There's a recipe for creating a Python 2 conda environment in FROM one of the core images on the GitHub wiki: https://github.com/jupyter/docker-stacks/wiki/Docker-recipes#add-a-python-2x-environment

Answer 2

I notice that the link suggested in previous post is not there anymore, so I put here the some with some modifications.
You could create the following Dockerfile:
# From https://github.com/jupyter/docker-stacks/wiki/Docker-recipes#add-a-python-2x-environment
# Choose your desired base image: you could use another from https://github.com/busbud/jupyter-docker-stacks
FROM jupyter/all-spark-notebook:latest
# Create a Python 2.x environment using conda including at least the ipython kernel
# and the kernda utility. Add any additional packages you want available for use
# in a Python 2 notebook to the first line here (e.g., pandas, matplotlib, etc.)
RUN conda create --quiet --yes -p $CONDA_DIR/envs/python2 python=2.7 ipython ipykernel kernda && \
conda clean -tipsy
USER root
# Bundle requirements
# You can change the libraries in the file
# requirements.txt
ADD requirements.txt /requirements.txt
# Create a global kernelspec in the image and modify it so that it properly activates
# the python2 conda environment.
RUN $CONDA_DIR/envs/python2/bin/python -m ipykernel install && \
$CONDA_DIR/envs/python2/bin/kernda -o -y /usr/local/share/jupyter/kernels/python2/kernel.json && \
pip install -r /requirements.txt && \
rm /requirements.txt && \
USER $NB_USER
or if you do not have requirements
# From https://github.com/jupyter/docker-stacks/wiki/Docker-recipes#add-a-python-2x-environment
# Choose your desired base image: you could use another from https://github.com/busbud/jupyter-docker-stacks
FROM jupyter/all-spark-notebook:latest
# Create a Python 2.x environment using conda including at least the ipython kernel
# and the kernda utility. Add any additional packages you want available for use
# in a Python 2 notebook to the first line here (e.g., pandas, matplotlib, etc.)
RUN conda create --quiet --yes -p $CONDA_DIR/envs/python2 python=2.7 ipython ipykernel kernda && \
conda clean -tipsy
USER root
# Create a global kernelspec in the image and modify it so that it properly activates
# the python2 conda environment.
RUN $CONDA_DIR/envs/python2/bin/python -m ipykernel install && \
$CONDA_DIR/envs/python2/bin/kernda -o -y /usr/local/share/jupyter/kernels/python2/kernel.json &
USER $NB_USER
Then go to the folder:
To create image:
docker build -t wm/ubuntupython2jupyterpyspark:v1.0 .
wm/ubuntupython2jupyterpyspark:v1.0 is just an example you could put another
To run container
docker run -p 8888:8888 wm/ubuntupython2jupyterpyspark:v1.0