0xmjk/jupyterlab-docker-image is a JupyterLab Docker image to start you up with working in the JupyterLab environment.
It comes in couple flavours, tagged:
latest
- pure Python environmentconda-latest
- Conda-based environmentconda-cling-latest
- Conda-based environment with Cling C++ interpreter
Start with:
docker run -ti -v jupyterlab:/home/jupyterlab/persisted -p 8888:8888 0xmjk/jupyterlab-docker-image:latest
Change :latest
to :conda-latest
for Conda environment or :conda-cling-latest
for Conda + Cling environment.
This will start the container using jupyterlab
local Docker volume mounted in persisted
folder.
It will be listening on port 8888.
Open a URL from docker's output (like the one below) in your browser:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://(9da9087a71fc or 127.0.0.1):8888/?token=e65085e9281c8b493b611beeec1e2931741d9c669d181120
The example notebook can be found as README.ipynb in your environment.