Code for the Authoriship Attribution project.
- Make changes through pull requests
- Submit issues and bug reports with GitHub issues
- Start reading the LowClass Python style-guide
- Good programming style can lead to faster as well as cleaner code
- Refer to the python performance tips page for more info and general useful reading
- A number of standard python modules that can be installed using
pip - The easiest way of installing/maintaining many python packages is by using anaconda.
This directory (and all depencencies) should be added to your PYTHONPATH.
- Choose your own data location
- Don't commit data to the repo
Read README_data.md for more.
For ipython notebooks. Put your name in the notebook name to avoid redundancy.
Schema for the data sets
Shell scripts, python scripts, etc...
modules specific to authorshipification project
general utility modules
core source code
command-line utilities
Unit tests for authorship.