Public | Automated Build

Last pushed: 2 years ago
Short Description
This container makes it easy to start-up a jupyter notebook to do science stuff.
Full Description

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 :)

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Owner
mstrehse
Source Repository