Metadata-Version: 1.1
Name: sparx
Version: 0.0.1
Summary: Sparx is a simplified data munging, wrangling and preparation library
Home-page: http://sparx.cleverinsight.co
Author: Bastin Robins J
Author-email: robin@cleverinsight.co
License: BSD
Description: Sparx
        ============
        .. image:: http://sparx.readthedocs.io/en/latest/_images/logo.png
           :target: https://sparx.readthedocs.io/en/latest/
        
        Sparx is a Python module for data preprocessing and wrangling built on top of
        Pandas, Numpy, SciPy, Scikit-Learn and distributed under the 1-Clause BSD license.
        
        The project was started in 2017 by Bastin Robins, Vandana Bhagat, Pallavi Murthi as a CleverInsight Hack Challenge, and since then many volunteers have contributed. See
        the `AUTHORS.rst <AUTHORS.rst>`_ file for a complete list of contributors.
        
        It is currently maintained by a team of volunteers.
        
        Website: http://sparx.readthedocs.org
        
        
        Installation
        ------------
        
        Dependencies
        ~~~~~~~~~~~~
        
        sparx requires:
        
        - Python-dateutil (>=2.6.0)
        - Geopy (<=1.11.0)
        - Pandas (>=0.19.2)
        - NumPy (>=1.13.1)
        - Blaze (>=0.10.1)
        - SciPy (>=0.18.1)
        - Scikit-Learn (>=0.18.1)
        
        User installation
        ~~~~~~~~~~~~~~~~~
        
        If you already have a working installation of pandas, numpy,geopy, python_dateutil, scikit-learn and scipy,
        the easiest way to install scikit-learn is using ``pip`` ::
        
            pip install -U sparx
        
        
        Development
        -----------
        
        We welcome new contributors of all experience levels. The sparx
        community goals are to be helpful, welcoming, and effective. 
        
        Important links
        ~~~~~~~~~~~~~~~
        
        - Official source code repo: https://gitlab.com/cleverinsight-community/sparx
        - Download releases: https://pypi.python.org/pypi/sparx
        - Issue tracker: https://gitlab.com/cleverinsight-community/sparx/issues
        
        Source code
        ~~~~~~~~~~~
        
        You can check the latest sources with the command::
        
            git clone https://gitlab.com/cleverinsight-community/sparx.git
        
        Setting up a development environment
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        Quick tutorial on how to go about setting up your environment to
        contribute to sparx: http://sparx.readthedocs.io/en/latest/contributing.html
        
        Testing
        ~~~~~~~
        
        After installation, you can launch the test suite from outside the
        source directory (you will need to have the ``pytest`` package installed)::
        
            python -m pytest -v 
        
        Submitting a Pull Request
        ~~~~~~~~~~~~~~~~~~~~~~~~~
        
        Before opening a Pull Request, have a look at the
        full Contributing page to make sure your code complies
        with our guidelines: http://sparx.readthedocs.io/en/latest/contributing.html
        
        
        Project History
        ---------------
        
        The project was started in 2017 by Bastin Robins, Vandana Bhagat, Pallavi Murthi as a CleverInsight Hack Challenge, and since then many volunteers have contributed. See
        the `AUTHORS.rst <AUTHORS.rst>`_ file for a complete list of contributors.
        
        Help and Support
        ----------------
        
        Documentation
        ~~~~~~~~~~~~~
        
        - HTML documentation (stable release): http://sparx.readthedocs.io
        - HTML documentation (development version): http://sparx.readthedocs.io/dev
        - FAQ: http://sparx.readthedocs.io
        
        Communication
        ~~~~~~~~~~~~~
        
        - IRC channel: ``#sparx`` at ``webchat.freenode.net``
        - Website: http://sparx.cleverinsight.co
        
        
Keywords: sparx data-science data-analysis data-preprocessing data-wrangling data-cleaning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
