Some Jupyter / Pandas notebooks I'm playing around with. To use, first install (Docker)[https://docs.docker.com/engine/installation/] on your machine.

To start a datascience environment, run $ source scripts/ds_start.sh This comes with R, Python, and Julia kernels, all with "batteries included", with the exception of TensorFlow. This will serve the notebooks at http://localhost:8888

To start a tensorflow environment, run $ source scripts/tf_start.sh. This starts TensorFlow and TensorBoard. This will serve the notebooks at http://localhost:8889.

You can run both simulataneously, and they will share the working directory. It's not a good idea to open the same notebook in both simulataneously, but you can pass data around over disk.

Once you are done, you can use docker stop $DS_CONTAINER or docker stop $TF_CONTAINER to stop the docker process.