setup.py

from setuptools import setup
from codecs import open
from os import path

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

#with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
#    long_description = f.read()

with open(path.join(here, 'version.txt'), encoding='utf-8') as f:
    version_number = f.read().strip()

setup(
    name='ndtamr',

    version=version_number,

    description='N-dimensional adaptive mesh refinement tree structure in Python.',
    long_description='N-dimensional adaptive mesh refinement tree structure in Python.',

    # The project's main homepage.
    url='https://github.com/adamdempsey90/NDTAMR',

    packages=['ndtamr'],

    # Author details
    author='Adam M. Dempsey',
    author_email='adamdemps@gmail.com',

    # Choose your license
    license='MIT',

    # 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 :: 4 - Beta',

        # Indicate who your project is intended for
        'Intended Audience :: Science/Research',
        'Topic :: Scientific/Engineering',
        'Topic :: Scientific/Engineering :: Physics',
        'Topic :: Scientific/Engineering :: Mathematics',
        'Topic :: Scientific/Engineering :: Astronomy',

        # Pick your license as you wish (should match "license" above)
        'License :: OSI Approved :: MIT 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',
         #'Programming Language :: Python :: 3.3',
         'Programming Language :: Python :: 3.4',
         'Programming Language :: Python :: 3.5',
         'Programming Language :: Python :: 3.6',
    ],

    # What does your project relate to?
    keywords='AMR tree refinement data science',

    install_requires=['matplotlib','numpy','h5py'],

)