<commit_before> #!/usr/bin/env python
from setuptools import find_packages
from setuptools import setup

DISTNAME = 'alphapy'
DESCRIPTION = "AlphaPy: A Machine Learning Pipeline for Speculators"
LONG_DESCRIPTION = "alphapy is a Python library for machine learning using scikit-learn. We have a stock market pipeline and a sports pipeline so that speculators can test predictive models, along with functions for trading systems and portfolio management."

MAINTAINER = 'ScottFree LLC [<NAME>, <NAME>]'
MAINTAINER_EMAIL = '<EMAIL>'
URL = "https://github.com/ScottFreeLLC/AlphaPy"
LICENSE = "Apache License, Version 2"
VERSION = "2.3"

classifiers = ['Development Status :: 4 - Beta',
               'Programming Language :: Python',
               'Programming Language :: Python :: 3',
               'Programming Language :: Python :: 3.4',
               'Programming Language :: Python :: 3.5',
               'License :: OSI Approved :: Apache Software License',
               'Intended Audience :: Science/Research',
               'Topic :: Scientific/Engineering',
               'Topic :: Scientific/Engineering :: Mathematics',
               'Operating System :: OS Independent']

install_reqs = [
    'bokeh>=0.12',
    'category_encoders>=1.2.0',
    'imbalanced-learn>=0.2.1',
    'ipython>=3.2.3',
    'matplotlib>=2.0.0',
    'numpy>=1.12',
    'pandas>=0.21.0',
    'pandas-datareader>=0.6',
    'pyfolio>=0.8',
    'pyyaml>=3.12',
    'scikit-learn>=0.18',
    'scipy>=1.0',
    'seaborn>=0.7.1',
    'xgboost>=0.71',
]

if __name__ == "__main__":
    setup(
        name=DISTNAME,
        version=VERSION,
        maintainer=MAINTAINER,<commit_msg>don't use pandas 0.23<commit_after> #!/usr/bin/env python
from setuptools import find_packages
from setuptools import setup

DISTNAME = 'alphapy'
DESCRIPTION = "AlphaPy: A Machine Learning Pipeline for Speculators"
LONG_DESCRIPTION = "alphapy is a Python library for machine learning using scikit-learn. We have a stock market pipeline and a sports pipeline so that speculators can test predictive models, along with functions for trading systems and portfolio management."

MAINTAINER = 'ScottFree LLC [<NAME>, <NAME>]'
MAINTAINER_EMAIL = '<EMAIL>'
URL = "https://github.com/ScottFreeLLC/AlphaPy"
LICENSE = "Apache License, Version 2"
VERSION = "2.3"

classifiers = ['Development Status :: 4 - Beta',
               'Programming Language :: Python',
               'Programming Language :: Python :: 3',
               'Programming Language :: Python :: 3.4',
               'Programming Language :: Python :: 3.5',
               'License :: OSI Approved :: Apache Software License',
               'Intended Audience :: Science/Research',
               'Topic :: Scientific/Engineering',
               'Topic :: Scientific/Engineering :: Mathematics',
               'Operating System :: OS Independent']

install_reqs = [
    'bokeh>=0.12',
    'category_encoders>=1.2.0',
    'imbalanced-learn>=0.2.1',
    'ipython>=3.2.3',
    'matplotlib>=2.0.0',
    'numpy>=1.12',
    'pandas>=0.19,<=0.22',
    'pandas-datareader>=0.6',
    'pyfolio>=0.8',
    'pyyaml>=3.12',
    'scikit-learn>=0.18',
    'scipy>=1.0',
    'seaborn>=0.7.1',
    'xgboost>=0.71',
]

if __name__ == "__main__":
    setup(
        name=DISTNAME,
        version=VERSION,
        maintainer=MAINTAINER,
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