AnthonyNystrom / docker-ipython

Run IPython, Pattern, NLTK, Pandas, NumPy, SciPy, Numba, Biopython inside Docker

docker-ipython

Run IPython inside Docker

####Includes:

• Pattern
• NLTK
• Pandas
• NumPy
• SciPy
• SymPy
• Cython
• Numba
• Biopython
• Rmagic

####Instructions

1. Build Docker image using the using build. This can take a long time, ~30mins. Luckily this step only has to done once(or whenever you change the Dockerfile).
2. Create and shell into new Docker container using ```shell``
3. Start IPython Notebook using supervisord&
4. Point your brower to http://<your host name>:49888

####Version Detail

>pip freeze

Bottleneck==0.7.0
Cython==0.19.2
Jinja2==2.7.1
MarkupSafe==0.18
Pattern==2.6
PyYAML==3.10
Pygments==1.6
argparse==1.2.1
beautifulsoup4==4.3.2
biopython==1.63
distribute==0.7.3
html5lib==0.99
ipython==1.1.0
llvmmath==0.1.1
llvmpy==unknown
lxml==2.3.2
matplotlib==1.3.1
medusa==0.5.4
meld3==0.6.5
networkx==1.8.1
nltk==2.0.4
nose==1.3.0
numba==0.11.0
numexpr==2.2.2
numpy==1.7.1
pandas==0.12.0
patsy==0.2.1
pymc==2.3
pyparsing==2.0.1
python-dateutil==2.2
pytz==2013.8
pyzmq==14.0.1
scipy==0.13.2
six==1.4.1
statsmodels==0.5.0
supervisor==3.0a8
sympy==0.7.4.1
tornado==3.1.1
wsgiref==0.1.2

Also includes 0MQ 4.0.3 and LLVM 3.2