Jupyter Scientific Notebook
This container makes it easy to start-up a ipython notebook server including a bundle of the most used python packages for scientific data processing and statistics. At this point the following packages are included by default:
- astropy
- biopython
- matplotlib
- numpy
- pandas
- pylab
- scikit-image
- scikit-learn
- scipy
To start the server, simply run the following command. To access your Jupyter-server, type in the ip of your docker-host followed by the port 443. If you run docker on your local linux maschine, open https://127.0.0.1:443 in your webbrowser. On Mac or Windows, use the link provided by kitematic.
docker pull mstrehse/scientific-jupyter-notebook
docker run mstrehse/scientific-jupyter-notebook -p 443:443
By default it uses the standard https port 443. The container includes a volume /notebooks, which you can map to your host to upload notebooks to the container or to a busybox if you want to persist them.
Have fun :)