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source/index.rst

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.. PyDy documentation master file, created by
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sphinx-quickstart on Sun Jan 26 13:02:27 2014.
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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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PyDy: Multibody Dynamics with Python
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====================================
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Welcome to the PyDy Wiki!
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=========================
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Introduction
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------------
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Welcome to the PyDy project website. PyDy, short for Python Dynamics, is a both
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a *workflow* that utlizes an array of scientific tools written in the Python
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programming language to study multibody dynamics and a set of software packages
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that help automate and enhance the workflow. The core of this toolset is the
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SymPy_ **mechanics** package which generates symbolic equations of motion for
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complex multibody systems and PyDy which extends the SymPy output to the
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numerical domain for simulation, analyses, and visualization. PyDy builds on
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the popular scientific Python stack such as NumPy_, SciPy_, IPython_,
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matplotlib_, Cython_, and Theano_.
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.. _SymPy: http://www.sympy.org
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.. _NumPy: http://numpy.org
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.. _SciPy: http://scipy.org
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.. _IPython: http://ipython.org
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.. _matplotlib: http://matplotlib.org
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.. _Cython: http://cython.org/
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.. _Theano: http://deeplearning.net/software/theano/
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Site Overview
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-------------
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installation/installation_general
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examples/examples
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management/project_management
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Introduction
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------------
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Welcome to the PyDy project page. PyDy, short for Python Dynamics, is a
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*workflow* that utlizes an array of scientific tools written in the Python
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programming language to study multibody dynamics. The core of this toolset is
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the `SymPy <http://www.sympy.org>`_ **mechanics** package which generates
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symbolic equations of motion for complex multibody systems. The remaining tools
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used in the PyDy workflow are popular scientific Python packages such as
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`NumPy <http://numpy.org/>`_, `SciPy <http://scipy.org>`_,
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`IPython <http://ipython.org>`_, and `matplotlib <http://matplotlib.org>`_
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which provide code for numerical analyses, simulation, and visualization. We
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are a group of engineers and scientists who for one reason or another prefer to
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work in Python. You can learn more by reading about our [features](features)
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and our [history](history) or [examples](examples).
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history
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gsoc
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Blog
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----
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.. postlist:: 4
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.. postlist:: 4

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