Metadata-Version: 2.0
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
Maintainer: G. Lemaitre
Maintainer-email: g.lemaitre58@gmail.com
License: BSD3
Download-URL: https://github.com/scikit-cycling/scikit-cycling
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
Provides-Extra: tests
Provides-Extra: docs
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: six
Requires-Dist: joblib
Requires-Dist: fitparse
Requires-Dist: cython
Provides-Extra: docs
Requires-Dist: sphinx; extra == 'docs'
Requires-Dist: sphinx-gallery; extra == 'docs'
Requires-Dist: sphinx-rtd-theme; extra == 'docs'
Requires-Dist: numpydoc; extra == 'docs'
Requires-Dist: matplotlib; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest; extra == 'tests'
Requires-Dist: pytest-cov; extra == 'tests'

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


