setup.py

#!/usr/bin/env python3

from setuptools import setup
import sys

sys.path.append("ProbPy")
import ProbPy

setup(name="ProbPy",
      version="1.1",
      description="Multi Variable Probability Calculus Library",
      long_description="""
        ProbPy is a Python library that aims to simplify calculations with discrete multi variable probabilistic distributions by offering an abstraction over how data is stored and how the operations between distributions are performed.

        The library can be used in the implementation of many algorithms such as Bayes Theorem, Bayesian Inference algorithms like Variable Elimination, Gibbs Ask (MCMC), HMMs implementations, Information Theory, etc.

        Currently, there are implementation for Bayesian and Markov Networks with some inference algorithms implemented.

        For more information check the GitHub page at: https://github.com/petermlm/ProbPy.
        """,

      author="Pedro Melgueira",
      author_email="pedromelgueira@gmail.com",

      url="https://github.com/petermlm/ProbPy",

      packages=["ProbPy"],

      keywords='probability calculus random variable bayes bayesian network \
               information theory markov',
      license="MIT License",
      classifiers=['Development Status :: 4 - Beta',
                   'Environment :: Console',
                   'Intended Audience :: Developers',
                   'Intended Audience :: Education',
                   'Intended Audience :: End Users/Desktop',
                   'Intended Audience :: Science/Research',
                   'License :: OSI Approved :: MIT License',
                   'Natural Language :: English',
                   'Operating System :: POSIX :: Linux',
                   'Programming Language :: Python :: 3',
                   'Topic :: Scientific/Engineering',
                   'Topic :: Software Development :: Libraries'
                   ]
      )