Recently I wanted to run the tutorial notebooks on my laptop - it seems a few others also wanted to do this. The obvious approach is to use a docker container but the DM CentOS containers are minimal and have no Jupyter. The JupyterLab containers however do contain all you need to run notebooks and are the exact containers deployed when you login into the Jupyter environment at NCSA.
For this you need docker installed and running.
Of course you may need some data depending on the notebook - intro-process-ccd for example requires
ci_hsc_small . The contents of this should be in a WORK directory (mine was in
Next you need some notebooks. I got the demo-notebooks and put them in
Running the notebook environment with the container can then be done with a single command (where you substitute the womullan paths for your local directories):
docker run --volume=/Users/womullan/LSSTgit/notebooks:/tmp/notebooks \ --volume=/Users/womullan/LSSTgit/notebooks/WORK:/root/WORK \ -p 22000:22000 \ --rm -it lsstsqre/sciplat-lab:recommended \ /opt/lsst/software/stack/python/miniconda3-4.7.12/envs/lsst-scipipe-984c9f7/bin/jupyter \ notebook --ip=0.0.0.0 --port=22000 --allow-root
This will output a URL to hit the notebook something like:
http://(cf6af7b52148 or 127.0.0.1):22000/?token=51f74a5d780d6e8f983eb93f413e9e69bfdd90396b93e792
Which means you should put :
in the browser.
That is it.
Ancillary docker info :
If you want to connect ot a running container i.e the one you started above
find the container id with
then connect with
docker exec -it CONTAINERID /bin/bash
That allows you to
pip install any other packages you want for example.