setup.py

# Always prefer setuptools over distutils
from setuptools import setup
# To use a consistent encoding
from os import path

here = path.abspath(path.dirname(__file__))

long_description = """\
nbashots is a library that is built on top of matplotlib, seaborn, and
bokeh in order to create a variety of NBA shot charts using Python.
nbashots allows for easy access to the NBA stats API in order to exrtact
the necessary data for creating shot charts.
"""

setup(
    name='nbashots',

    # Versions should comply with PEP440.  For a discussion on single-sourcing
    # the version across setup.py and the project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='0.1.0a9',

    description='A visualization library that helps create NBA player shot charts.',
    long_description=long_description,

    # The project's main homepage.
    url='https://github.com/savvastj/nbashots',

    # Author details
    author='Savvas Tjortjoglou',
    author_email='savvas.tjortjoglou@gmail.com',

    # Choose your license
    license='BSD (3-clause) "New" or "Revised License"',

    packages=["nbashots"],

    # See https://pypi.python.org/pypi?%3Aaction=list_classifiers
    classifiers=[
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 3 - Alpha',

        # Indicate who your project is intended for
        'Intended Audience :: Developers',
        'Intended Audience :: Other Audience',
        'Intended Audience :: Science/Research',

        'Topic :: Scientific/Engineering :: Visualization',
        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: BSD License',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5'
    ],

    # What does your project relate to?
    keywords='nba data visualiztion shot charts',

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    # packages=find_packages(exclude=['contrib', 'docs', 'tests']),

    # Alternatively, if you want to distribute just a my_module.py, uncomment
    # this:
    #   py_modules=["my_module"],

    # List run-time dependencies here.  These will be installed by pip when
    # your project is installed. For an analysis of "install_requires" vs pip's
    # requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=['bokeh', 'matplotlib', 'numpy', 'pandas', 'requests',
                      'scipy', 'seaborn==0.6.0']
)