Skip to content

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

Notifications You must be signed in to change notification settings

mingfang/docker-ipython

Repository files navigation

docker-ipython

Run IPython inside Docker

####Includes:

####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 runsvdir-start&
  4. Point your brower to http://<your host name>:49888

####Version Detail

>pip freeze

Bottleneck==0.8.0
Cython==0.20.2
Jinja2==2.7.3
MarkupSafe==0.23
PyYAML==3.11
Pygments==1.6
argparse==1.2.1
backports.ssl-match-hostname==3.4.0.2
beautifulsoup4==4.3.2
biopython==1.64
chardet==2.0.1
colorama==0.2.5
decorator==3.4.0
html5lib==0.999
ipython==2.1.0
llvmmath==0.1.1
llvmpy==0.12.6
lxml==3.3.3
matplotlib==1.3.1
networkx==1.9
nltk==2.0.4
nose==1.3.3
numba==0.13.3
numexpr==2.4
numpy==1.7.1
pandas==0.14.1
patsy==0.2.1
pymc==2.3.3
pyparsing==2.0.2
python-dateutil==2.2
pytz==2014.4
pyzmq==14.3.1
requests==2.2.1
rpy2==2.4.2
scipy==0.14.0
six==1.5.2
ssh-import-id==3.21
statsmodels==0.5.0
sympy==0.7.5
tornado==3.2.2
urllib3==1.7.1
vincent==0.4.4
wsgiref==0.1.2

Also includes 0MQ 4.0.3 and LLVM 3.2

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published