IPython in Docker

This repository contains the Dockerfiles and shell scripts used by four Docker containers:

• ipython/scipystack - Relies on ipython/ipython, installs the scipy stack & more
• ipython/scipyserver - Relies on ipython/scipystack, sets up a notebook server. See the README for usage instructions.
• ipython/notebook - Relies on ipython/ipython and just sets up the IPython notebook. No additional Python packages are installed by default

In practice though, the most recent versions of each of these images is up on the Docker Hub.

Instructions for each are within the respective folders for each, but to get started with the scipystack image for example, run docker run -it ipython/scipystack /bin/bash:

$ docker run -it ipython/scipystack /bin/bash
root@10e02f441814:/# ipython
Python 3.4.0 (default, Apr 11 2014, 13:05:11)
Type "copyright", "credits" or "license" for more information.

IPython 2.2.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import numpy as np

In [2]: np.linspace(2,10)
Out[2]:
array([  2.        ,   2.16326531,   2.32653061,   2.48979592,
         2.65306122,   2.81632653,   2.97959184,   3.14285714,
         3.30612245,   3.46938776,   3.63265306,   3.79591837,
         3.95918367,   4.12244898,   4.28571429,   4.44897959,
         4.6122449 ,   4.7755102 ,   4.93877551,   5.10204082,
         5.26530612,   5.42857143,   5.59183673,   5.75510204,
         5.91836735,   6.08163265,   6.24489796,   6.40816327,
         6.57142857,   6.73469388,   6.89795918,   7.06122449,
         7.2244898 ,   7.3877551 ,   7.55102041,   7.71428571,
         7.87755102,   8.04081633,   8.20408163,   8.36734694,
         8.53061224,   8.69387755,   8.85714286,   9.02040816,
         9.18367347,   9.34693878,   9.51020408,   9.67346939,
         9.83673469,  10.        ])

Development

For local development, especially when working across multiple images make sure to tag them as ipython/scipystack, ipython/notebook, etc. so they can depend on each other rather than upstream. Easy mode is to just use the Makefile:

make images

Otherwise, you can do it by hand:

docker build -t ipython/scipystack scipystack