old_contents: #!/usr/bin/env python
  
  from setuptools import setup, find_packages
  
  long_description = """
  **PyGraphistry** is a visual graph analytics library to extract, transform, and
  load big graphs into `Graphistry's<http://www.graphistry.com>`_ GPU-cloud-accelerated
  explorer.
  
  PyGraphistry is...
  
  - **Fast & Gorgeous**: Cluster, filter, and inspect large amounts of data at
    interactive speed. We layout graphs with a descendant of the gorgeous
    ForceAtlas2 layout algorithm introduced in Gephi. Our data explorer connects
    to Graphistry's GPU cluster to layout and render hundreds of thousand of
    nodes+edges in your browser at unparalleled speeds.
  
  - **Notebook Friendly**: PyGraphistry plays well with interactive notebooks
    like IPython/Juypter, Zeppelin, and Databricks: Process, visualize, and drill
    into with graphs directly within your notebooks.
  
  - **Batteries Included**: PyGraphistry works out-of-the-box with popular data
    science and graph analytics libraries. It is also very easy to use. To create
    the visualization shown above, download this dataset of Facebook communities
    from SNAP and load it with your favorite library
  
  
  Try It Out!
  -----------
  
  Tutorial and API docs are on
  `https://github.com/graphistry/pygraphistry<https://github.com/graphistry/pygraphistry>`_
  """
  
  setup(
      name='graphistry',
      version='0.9.7',
      packages = ['graphistry'],
      platforms='any',
      description = 'Visualize node-link graphs using Graphistry\'s cloud',
      long_description=long_description,
      url='https://github.com/graphistry/pygraphistry',
      download_url= 'https://pypi.python.org/pypi/graphistry/',
      author='The Graphistry Team',
      author_email='pygraphistry@graphistry.com',
      setup_requires=['numpy'],
      install_requires=['numpy', 'pandas', 'requests', 'future'],
      extras_require={
          'igraph': ['python-igraph'],
          'networkx': ['networkx'],
          'pandas-extra': ['numexpr', 'Bottleneck'],
          'all': ['python-igraph', 'networkx', 'numexpr', 'Bottleneck']
      },
      license='BSD',
      classifiers=[
          'Development Status :: 4 - Beta',
          'Environment :: Console',
          'License :: OSI Approved :: BSD License',
          'Operating System :: OS Independent',
          'Intended Audience :: Science/Research',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Topic :: Scientific/Engineering :: Visualization',
          'Topic :: Scientific/Engineering :: Information Analysis',
      ],
      keywords=['Graph', 'Network', 'Plot', 'Visualization', 'Pandas', 'Igraph']
  )
  
new_contents: #!/usr/bin/env python
  
  from setuptools import setup, find_packages
  
  long_description = """
  **PyGraphistry** is a visual graph analytics library to extract, transform, and
  load big graphs into `Graphistry's <http://www.graphistry.com>`_ GPU-cloud-accelerated
  explorer.
  
  PyGraphistry is...
  
  - **Fast & Gorgeous**: Cluster, filter, and inspect large amounts of data at
    interactive speed. We layout graphs with a descendant of the gorgeous
    ForceAtlas2 layout algorithm introduced in Gephi. Our data explorer connects
    to Graphistry's GPU cluster to layout and render hundreds of thousand of
    nodes+edges in your browser at unparalleled speeds.
  
  - **Notebook Friendly**: PyGraphistry plays well with interactive notebooks
    like IPython/Juypter, Zeppelin, and Databricks: Process, visualize, and drill
    into with graphs directly within your notebooks.
  
  - **Batteries Included**: PyGraphistry works out-of-the-box with popular data
    science and graph analytics libraries. It is also very easy to use. To create
    the visualization shown above, download this dataset of Facebook communities
    from SNAP and load it with your favorite library
  
  
  Try It Out!
  -----------
  
  Tutorial and API docs are on
  `https://github.com/graphistry/pygraphistry <https://github.com/graphistry/pygraphistry>`_
  """
  
  setup(
      name='graphistry',
      version='0.9.7',
      packages = ['graphistry'],
      platforms='any',
      description = 'Visualize node-link graphs using Graphistry\'s cloud',
      long_description=long_description,
      url='https://github.com/graphistry/pygraphistry',
      download_url= 'https://pypi.python.org/pypi/graphistry/',
      author='The Graphistry Team',
      author_email='pygraphistry@graphistry.com',
      setup_requires=['numpy'],
      install_requires=['numpy', 'pandas', 'requests', 'future'],
      extras_require={
          'igraph': ['python-igraph'],
          'networkx': ['networkx'],
          'pandas-extra': ['numexpr', 'Bottleneck'],
          'all': ['python-igraph', 'networkx', 'numexpr', 'Bottleneck']
      },
      license='BSD',
      classifiers=[
          'Development Status :: 4 - Beta',
          'Environment :: Console',
          'License :: OSI Approved :: BSD License',
          'Operating System :: OS Independent',
          'Intended Audience :: Science/Research',
          'Programming Language :: Python :: 2',
          'Programming Language :: Python :: 2.7',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: 3.4',
          'Topic :: Scientific/Engineering :: Visualization',
          'Topic :: Scientific/Engineering :: Information Analysis',
      ],
      keywords=['Graph', 'Network', 'Plot', 'Visualization', 'Pandas', 'Igraph']
  )
  
subject: Fix RST markup in package long_descritpion