Jupyter Notebook with Docker and JupyterHub
JupyterHub enables you to quickly setup Jupyter Notebook for multiple users. In this post, I use Docker to setup Notebook for multiple users. You’ll need to install Docker for your platform to follow along.
To download and create a new JupyterHub container with Docker
docker run -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub
If you want to restart the container later
docker start -ai jupyterhub
You should now be able to access JupyterHub via http://localhost:8000.
localhost may be changed to an IP address, if you need to access the page from a different machine. You’ll need a user to be able to login.
Create a command shell into the running container
docker exec -it jupyterhub bash
To setup a user
username to a user’s login. You will be prompted for a password and other information. Complete all the steps. You should now be able to login using the username and password you setup.
The container image does not come with Jupyter Notebook, so we need to install it
conda install notebook
You should now be able to create and use Notebooks.
To install any additional Python packages required by your Notebooks
pip install pandas matplotlib