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Portable development environment for data analysis

This defines a Dockerfile and related resources for building an ipython notebook server in a docker container capable of connecting to databases, queues etc. and performing desired analysis.


Simple first time install

$ boot2docker init
$ boot2docker start
$ $(boot2docker shellinit)
$ '$(boot2docker shellinit)' >> ~/.bash_profile

Update your setup to latest

$ docker pull data-analysis-notebook-server

Starting notebook server

Once the container has been started, navigatge to http://localhost:443 or, if using boot2docker (i.e. on a mac), get your docker host with boot2docker ip and replace localhost with that. Login with the password in the PASSWORD environment above.

If you want to make this easier, you can add your boot2docker ip to your hosts file with:

$ sudo echo <your-boot2docker-ip> docker.local >> /etc/hosts

then you can navigate to https://docker.local


Go to this medium blog post for help.

Docker Pull Command