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Reorganized main page.
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moorepants committed Feb 9, 2015
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.. PyDy documentation master file, created by
sphinx-quickstart on Sun Jan 26 13:02:27 2014.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
PyDy: Multibody Dynamics with Python
====================================

Welcome to the PyDy Wiki!
=========================
Introduction
------------

Welcome to the PyDy project website. PyDy, short for Python Dynamics, is a both
a *workflow* that utlizes an array of scientific tools written in the Python
programming language to study multibody dynamics and a set of software packages
that help automate and enhance the workflow. The core of this toolset is the
SymPy_ **mechanics** package which generates symbolic equations of motion for
complex multibody systems and PyDy which extends the SymPy output to the
numerical domain for simulation, analyses, and visualization. PyDy builds on
the popular scientific Python stack such as NumPy_, SciPy_, IPython_,
matplotlib_, Cython_, and Theano_.

.. _SymPy: http://www.sympy.org
.. _NumPy: http://numpy.org
.. _SciPy: http://scipy.org
.. _IPython: http://ipython.org
.. _matplotlib: http://matplotlib.org
.. _Cython: http://cython.org/
.. _Theano: http://deeplearning.net/software/theano/

Site Overview
-------------
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installation/installation_general
examples/examples
management/project_management


Introduction
------------

Welcome to the PyDy project page. PyDy, short for Python Dynamics, is a
*workflow* that utlizes an array of scientific tools written in the Python
programming language to study multibody dynamics. The core of this toolset is
the `SymPy <http://www.sympy.org>`_ **mechanics** package which generates
symbolic equations of motion for complex multibody systems. The remaining tools
used in the PyDy workflow are popular scientific Python packages such as
`NumPy <http://numpy.org/>`_, `SciPy <http://scipy.org>`_,
`IPython <http://ipython.org>`_, and `matplotlib <http://matplotlib.org>`_
which provide code for numerical analyses, simulation, and visualization. We
are a group of engineers and scientists who for one reason or another prefer to
work in Python. You can learn more by reading about our [features](features)
and our [history](history) or [examples](examples).
history
gsoc

Blog
----
.. postlist:: 4

.. postlist:: 4

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