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setup.py
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from codecs import open
from os import path
from setuptools import setup, find_packages
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.rst')) as f:
long_description=f.read()
setup(
name='pycroscopy',
version='0.0a1',
description='A suite of Python libraries for high performance scientific computing of microscopy data.',
long_description= long_description,
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Cython',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: Implementation :: CPython',
'Topic :: Scientific/Engineering :: Chemistry',
'Topic :: Scientific / Engineering :: Information Analysis',
'Topic :: Scientific/Engineering :: Physics',
],
keywords='scientific microscopy data analysis',
packages=find_packages(exclude='tests'),
url='http://github.com/pycroscopy/pyCroscopy',
license='MIT',
author='S. Somnath, C. Ryan, N. Laanait',
author_email='[email protected]',
# I don't remember how to do this correctly!!!. NL
install_requires=['numpy_groupies','pyqtgraph','numpy>=1.11.0',
'h5py>=2.6.0','scipy>=0.17.1','matplotlib',
'scikit-learn>=0.17.1','xlrd>=1.0.0','freetype-py'],#'multiprocess'],
#package_data={'sample':['dataset_1.dat']}
test_suite='nose.collector',
tests_require='Nose',
dependency='',
dependency_links=[''],
include_package_data=True,
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
# package_data={
# 'sample': ['package_data.dat'],
# },
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
# entry_points={
# 'console_scripts': [
# 'sample=sample:main',
# ],
# },
)