Metadata-Version: 2.0
Name: python-calculus
Version: 0.1.0
Summary: do derivatives like a charm
Home-page: https://github.com/KapilKhanal/python_calculus
Author: Kapil Khanal
Author-email: kkhanal16@winona.edu
License: MIT license
Description-Content-Type: UNKNOWN
Keywords: python_calculus
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: Click (>=6.0)

===============
Python calculus
===============


.. image:: https://img.shields.io/pypi/v/python_calculus.svg
        :target: https://pypi.python.org/pypi/python_calculus

.. image:: https://img.shields.io/travis/KapilKhanal/python_calculus.svg
        :target: https://travis-ci.org/KapilKhanal/python_calculus

.. image:: https://readthedocs.org/projects/python-calculus/badge/?version=latest
        :target: https://python-calculus.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/KapilKhanal/python_calculus/shield.svg
     :target: https://pyup.io/repos/github/KapilKhanal/python_calculus/
     :alt: Updates


do derivatives like a charm


* Free software: MIT license
* Documentation: https://python-calculus.readthedocs.io.


Features
--------

* TODO

Credits
---------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



=======
History
=======

0.1.0 (2018-01-31)
------------------

* First release on PyPI.


