setup.py

from setuptools import setup

description = (
    "PyDMD is a Python package that uses Dynamic Mode Decomposition for "
    "a data-driven model simplification based on spatiotemporal coherent "
    "structures.\n"
    "\n"
    "Dynamic Mode Decomposition (DMD) is a model reduction algorithm "
    "developed by Schmid (see 'Dynamic mode decomposition of numerical and "
    "experimental data').  Since then has emerged as a powerful tool for "
    "analyzing the dynamics of nonlinear systems. DMD relies only on the "
    "high-fidelity measurements, like experimental data and numerical "
    "simulations, so it is an equation-free algorithm. Its popularity is "
    "also due to the fact that it does not make any assumptions about the "
    "underlying system. See Kutz ('Dynamic Mode Decomposition: "
    "Data-Driven Modeling of Complex Systems') for a comprehensive "
    "overview of the algorithm and its connections to the Koopman-operator "
    "analysis, initiated in Koopman ('Hamiltonian systems and "
    "transformation in Hilbert space'), along with examples in "
    "computational fluid dynamics.\n"
    "\n"
    "In the last years many variants arose, such as multiresolution DMD, "
    "compressed DMD, forward backward DMD, and higher order DMD among "
    "others, in order to deal with noisy data, big dataset, or spurius "
    "data for example.\n"
    "\n"
    "In PyDMD we implemented the majority of the variants mentioned above "
    "with a user friendly interface.\n"
    "\n"
    "The research in the field is growing both in computational fluid "
    "dynamic and in structural mechanics, due to the equation-free nature "
    "of the model.\n"
)

setup(name='pydmd',
	  version='0.2.0',
	  description='Python Dynamic Mode Decomposition.',
	  long_description=description,
	  classifiers=[
	  	'Development Status :: 5 - Production/Stable',
	  	'License :: OSI Approved :: MIT License',
	  	'Programming Language :: Python :: 2.7',
	  	'Programming Language :: Python :: 3.6',
	  	'Intended Audience :: Science/Research',
	  	'Topic :: Scientific/Engineering :: Mathematics'
	  ],
	  keywords='dynamic-mode-decomposition dmd mrdmd fbdmd cdmd',
	  url='https://github.com/mathLab/PyDMD',
	  author='Nicola Demo, Marco Tezzele',
	  author_email='demo.nicola@gmail.com, marcotez@gmail.com',
	  license='MIT',
	  packages=['pydmd'],
	  install_requires=[
	  		'future',
	  		'numpy',
	  		'scipy',
	  		'matplotlib',
	  		'Sphinx==1.4',
	  		'sphinx_rtd_theme'
	  ],
	  test_suite='nose.collector',
	  tests_require=['nose'],
	  include_package_data=True,
	  zip_safe=False)