Starting point is an article from P Rowlands available on arxiv : http://arxiv.org/abs/quant-ph/0301071
Some articles from José B. Almeida are on Arxiv and give more hints. https://arxiv.org/search/?searchtype=author&query=Almeida%2C+J+B
And articles from Basil Hiley give the link to clifford density element to combine left and right operators. http://www.bbk.ac.uk/tpru/BasilHiley/Bohm-Vienna.pdf
Then,
This is the easiest method, there is nothing to install, the notebook will run remotely, display is in the browser Link to binder is
Computations are run on the server, only rendering is happening on the local machine. An AWS EC2 instance is properly setup with Docker and Git, ssh connection on the instance is open.
git clone https://github.com/jdekozak/dirac5d.git
cd dirac5d
docker build --rm -t jupyter/galgebra-notebook .
docker run -p 80:8888 -e NB_UID=500 -e NB_GID=500 --user root -v /home/ec2-user/dirac5d:/home/jovyan/work jupyter/galgebra-notebook
Computations and rendering are run the local machine.
Docker must be installed https://docs.docker.com/docker-for-mac/install/
Git must be installed https://git-scm.com/download/mac
git clone https://github.com/jdekozak/dirac5d.git
cd dirac5d
docker build --rm -t jupyter/galgebra-notebook .
docker run -p 80:8888 -e NB_UID=500 -e NB_GID=500 --user root -v /home/<user>/dirac5d:/home/jovyan/work jupyter/galgebra-notebook
Open a browser to your localhost