Metadata-Version: 1.1
Name: scikit-cycling
Version: 0.1.3
Summary: A set of python modules for cyclist using powermeters.
Home-page: https://github.com/scikit-cycling/scikit-cycling
Author: G. Lemaitre
Author-email: g.lemaitre58@gmail.com
License: BSD3
Download-URL: https://github.com/scikit-cycling/scikit-cycling
Description-Content-Type: UNKNOWN
Description: Scikit-cycling
        ==============
        
        .. image:: https://travis-ci.org/scikit-cycling/scikit-cycling.svg?branch=master
            :target: https://travis-ci.org/scikit-cycling/scikit-cycling
        
        .. image:: https://ci.appveyor.com/api/projects/status/f2mvtb9y1mcy99vg?svg=true
            :target: https://ci.appveyor.com/project/glemaitre/scikit-cycling
        
        .. image:: https://readthedocs.org/projects/scikit-cycling/badge/?version=latest
            :target: http://scikit-cycling.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://codecov.io/gh/scikit-cycling/scikit-cycling/branch/master/graph/badge.svg
          :target: https://codecov.io/gh/scikit-cycling/scikit-cycling
        
        .. image:: https://badges.gitter.im/Join%20Chat.svg
          :target: https://gitter.im/scikit-cycling/Lobby?utm_source=share-link&utm_medium=link&utm_cam
        
        Installation
        ------------
        
        Dependencies
        ~~~~~~~~~~~~
        
        Scikit-cycling requires:
        
        * scipy
        * numpy
        * pandas
        * six
        * fit-parse
        * joblib
        * scikit-learn
        
        
        Installation
        ~~~~~~~~~~~~
        
        ``scikit-cycling`` is currently available on the PyPi’s reporitories and you can
        install it via pip::
        
          pip install -U scikit-cycling
        
        The package is release also in conda-forge::
        
          conda install -c conda-forge scikit-cycling
        
        If you prefer, you can clone it and run the ``setup.py`` file. Use the
        following commands to get a copy from Github and install all dependencies::
        
          git clone https://github.com/scikit-cycling/scikit-cycling.git
          cd scikit-cycling
          pip install .
        
        Or install using ``pip`` and GitHub::
        
          pip install -U git+https://github.com/scikit-cycling/scikit-cycling.git
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
