Metadata-Version: 1.1
Name: MCres
Version: 0.5.7
Summary: Provides simple filtering and visualization tools for Monte-Carlo simulation data
Home-page: https://github.com/ceyzeriat/MCres/
Author: Guillaume Schworer
Author-email: guillaume.schworer@obspm.fr
License: GNU General Public License v3 or later (GPLv3+)
Download-URL: https://github.com/ceyzeriat/MCres/tree/master/dist
Description: .. MCres
        
        :Name: MCres
        :Website: https://github.com/ceyzeriat/MCres
        :Author: Guillaume Schworer
        :Version: 0.2beta
        
        .. image:: https://img.shields.io/badge/license-MIT-blue.svg
            :target: https://github.com/ceyzeriat/MCres/blob/master/LICENSE.txt
        
        Blah
        It is released under the MIT license.
        
        .. code-block:: python
        
            import MCres
        
        #.. image:: https://raw.githubusercontent.com/ceyzeriat/MCres/master/img/obs_ex.png
        #   :align: center
        
        Documentation
        =============
        
        Refer to this page, http://pythonhosted.org/MCres/MCres.html
        
        
        Requirements
        ============
        
        MCres requires the following Python packages:
        
        * NumPy, Scipy: for basic numerical routines
        * astropy.io.fits: for angle units
        * corner: for plotting
        * matplotlib: for plotting
        * time: for basic stuff
        
        MCres is tested on Linux and Python 2.7 only, but should cross-plateform without too many issues.
        
        Installation
        ============
        
        If you use anaconda, the easiest and fastest way to get the package up and running is to
        install MCres using `conda <http://conda.io>`_::
        
          $ conda install MCres --channel MCres
        
        You can also install MCres from PyPI using pip, given that you already
        have all the requirements::
        
          $ pip install MCres
        
        You can also download MCres source from GitHub and type::
        
          $ python setup.py install
        
        Contributing
        ============
        
        Code writing
        ------------
        
        Code contributions are welcome! Just send a pull request on GitHub and we will discuss it. In the `issue tracker`_ you may find pending tasks.
        
        Bug reporting
        -------------
        
        If you think you've found one please refer to the `issue tracker`_ on GitHub.
        
        .. _`issue tracker`: https://github.com/ceyzeriat/MCres/issues
        
        Additional options
        ------------------
        
        You can either send me an e-mail or add it to the issues/wishes list on GitHub.
        
        Citing
        ======
        
        If you use MCres on your project, please
        `drop me a line <mailto:{my first name}.{my family name}@obspm.fr>`, you will get fixes and additional options earlier.
        
        License
        =======
        
        MCres is released under the MIT license, hence allowing commercial use of the library. Please refer to the LICENSE.txt file.
        
        
        Changelog
        ---------
        
        0.5.0 (2016-08-21)
        ++++++++++++++++++
        
        - Initial release.
        
Keywords: emcee,processing,data,big data,corner,cornerplot,triangle,plot
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Documentation :: Sphinx
Classifier: Topic :: Scientific/Engineering :: Physics
