old_contents: from setuptools import setup
  from setuptools import find_packages
  
  with open("README.md", "r") as fh:
      pyaf_long_description = fh.read()
      
  setup(name='pyaf',
        version='3.0-RC1',
        description='Python Automatic Forecasting',
        long_description=pyaf_long_description,
        long_description_content_type="text/markdown",
        author='Antoine CARME',
        author_email='antoine.carme@laposte.net',
        url='https://github.com/antoinecarme/pyaf',
        license='BSD 3-clause',
        packages=find_packages(include=['pyaf', 'pyaf.*']),
        python_requires='>=3',
        classifiers=['Development Status :: 5 - Production/Stable',
                     'Programming Language :: Python :: 3'],
        keywords='arx automatic-forecasting autoregressive benchmark cycle decomposition exogenous forecasting heroku hierarchical-forecasting horizon jupyter pandas python scikit-learn seasonal time-series transformation trend web-service',
        install_requires=[
            'scipy',
            'pandas',
            'sklearn',
            'matplotlib',
            'pydot',
            'dill',
            'sqlalchemy'
        ])
  
new_contents: from setuptools import setup
  from setuptools import find_packages
  
  with open("README.md", "r") as fh:
      pyaf_long_description = fh.read()
      
  setup(name='pyaf',
        version='3.0',
        description='Python Automatic Forecasting',
        long_description=pyaf_long_description,
        long_description_content_type="text/markdown",
        author='Antoine CARME',
        author_email='antoine.carme@laposte.net',
        url='https://github.com/antoinecarme/pyaf',
        license='BSD 3-clause',
        packages=find_packages(include=['pyaf', 'pyaf.*']),
        python_requires='>=3',
        classifiers=['Development Status :: 5 - Production/Stable',
                     'Programming Language :: Python :: 3'],
        keywords='arx automatic-forecasting autoregressive benchmark cycle decomposition exogenous forecasting heroku hierarchical-forecasting horizon jupyter pandas python scikit-learn seasonal time-series transformation trend web-service',
        install_requires=[
            'scipy',
            'pandas',
            'sklearn',
            'matplotlib',
            'pydot',
            'dill',
            'sqlalchemy'
        ])
  
subject: Prepare next PyAF release #157