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py_stringmatching
=================
This project seeks to build a Python software package that consists of a comprehensive and scalable set of string tokenizers (such as alphabetical tokenizers, whitespace tokenizers) and string similarity measures (such as edit distance, Jaccard, TF/IDF). The package is free, open-source, and BSD-licensed.
Important links
===============
* Project Homepage: https://sites.google.com/site/anhaidgroup/projects/magellan/py_stringmatching
* Code repository: https://github.com/anhaidgroup/py_stringmatching
* User Manual: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/index.html
* Tutorial: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/Tutorial.html
* How to Contribute: https://anhaidgroup.github.io/py_stringmatching/v0.4.2/Contributing.html
* Developer Manual: http://pages.cs.wisc.edu/~anhai/py_stringmatching/v0.2.0/dev-manual-v0.2.0.pdf
* Issue Tracker: https://github.com/anhaidgroup/py_stringmatching/issues
* Mailing List: https://groups.google.com/forum/#!forum/py_stringmatching
Dependencies
============
py_stringmatching has been tested on Python 2.7, 3.5, 3.6, 3.7, and 3.8.
The required dependencies to build the package are NumPy 1.7.0 or higher,
Six, and a C or C++ compiler. For the development version, you will also need Cython.
Platforms
=========
py_stringmatching has been tested on Linux, OS X and Windows.
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