santhosh-kumar/datasciencetoolbox

Data Science Toolbox in Python

Data Science Toolbox (DST)

Project Structure

.
├── README.md
├── data
├── common
│   ├── analysis
│   ├── config
│   ├── dataset
│   ├── exceptions
│   ├── logger
│   ├── plot
│   └── utils
└── scripts
    └── test_analysis
        ├── config.cfg
        └── run.py

In addition to the above, temporary folders such as output, logs would be created (they are not checked-in).

Pre-requisites

1. Python 3.0
2. numpy: http://docs.scipy.org/doc/numpy-1.10.1/user/install.html
3. matplotlib: http://matplotlib.org/faq/installing_faq.html#install-osx-binaries
4. scipy: http://www.scipy.org/install.html (optional)

Note: Verified to run only on Mac OSX so far.

Usage

i) Test Analysis

cd scripts/test_analysis Run "python run.py" (by default it will run all the analysis) use -h to print help use -r to run use -c to specify a config file (by default it uses the one in configs folder)

Contact

[1] Santhoshkumar Sunderrajan( [email protected])

Website: http://santhoshsunderrajan.com/

[2] Aravind Sunderrajan ([email protected])

Disclaimer

We may have used some good codes from various sources, please feel free to notify me if you find a piece of code that I need to acknowledge.