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Last pushed: 2 years ago
Short Description
standard ipython/scipystack + google client api for accessing Google BigQuery with pandas
Full Description

Dockerized Notebook + SciPy Stack

Docker container for the SciPy stack and configured IPython notebook server.


Assuming you have docker installed, run this to start up a notebook server on https://localhost.

docker run -d -p 443:8888 -e "PASSWORD=MakeAPassword" ipython/scipyserver

You'll now be able to access your notebook at https://localhost with password MakeAPassword (please change the environment variable above).

Hacking on the Dockerfile

Clone this repository, make changes then build the container:

docker build -t scipyserver .
docker run -d -p 443:8888 -e "PASSWORD=MakeAPassword" scipyserver

Use your own certificate

This image looks for /key.pem. If it doesn't exist a self signed certificate will be made. If you would like to use your own certificate, concatenate your private and public key along with possible intermediate certificates in a pem file. The order should be (top to bottom): key, certificate, intermediate certificate.


cat hostname.key intermidiate.cert > hostname.pem

Then you would mount this file to the docker container:

docker run -v /path/to/hostname.pem:/key.pem -d -p 443:8888 -e "PASSWORD=pass" ipython/scipyserver

Using HTTP

This docker image by default runs IPython notebook in HTTPS. If you'd like to run this in HTTP,
you can use the USE_HTTP environment variable. Setting it to a non-zero value enables HTTP.


docker run -d -p 80:8888 -e "PASSWORD=MakeAPassword" -e "USE_HTTP=1" ipython/notebook
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