Jupyter Notebook, JupyterHub and JupyterLab .With Pandas, Numpy, Bokeh, Plotly and Dash.
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This repository designed to run Jupyter Notebook, JupyterHub and JupyterLab inside a Docker container. That's come with Pandas, Numpy, Bokeh, Plotly, Dash and other popular libraries.
JupyterHub has admin interface, JupyterLab has Jupyter Notebook, console, terminal, text editor and Jitsi video-meeting.
git clone https://github.com/murat-polat/docker-jupyterlab
cd docker-jupyterlab
docker build -t <yourID>/jupyterlab .
Make your own docker image and push to docker registry(DockerHub)
docker login
docker push <yourID>/jupyterlab
docker run --rm -p 8000:8000 -d <yourID>/jupyterlab:latest
Or just pull and run:
docker pull muratp/jupyterlab
docker run --rm -p 8000:8000 -d muratp/jupyterlab
Then go to the:
http://localhost:8000 or http://YourServerIP:8000
Default JupyterHUb/Lab has to users, which is admin_user and common_user, password is same as user_name. For example:
User : admin_user
Password : admin_user
JupyterHub admin Control Panel for add/remove JupyterLab users, start/stopp servers and access to others common_users server and notebooks.

JupyterLab URL is:
http://YourServerIP:8000/user/admin_user/lab
or
http://YourServerIP:8000/user/common_user/lab
JupyterLab is next-generations, great advanced tools for everyone. Not just a Jupyter Notebook,that comes with text editor, console, terminal, Jitsi-Meet and much more. For more information please visit https://jupyterlab.readthedocs.io/en/stable/getting_started/overview.html

Content type
Image
Digest
Size
624.5 MB
Last updated
about 5 years ago
docker pull muratp/jupyterlab