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Merge pull request #55 from SanketDG/docfix
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Minor doc fixes
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ysitu committed Aug 18, 2015
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11 changes: 11 additions & 0 deletions doc/source/bibliography.rst
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.. -*- coding: utf-8 -*-
Bibliography
============

.. [Langtangen04] H.P. Langtangen, "Python Scripting for Computational
Science.", Springer Verlag Series in Computational Science and
Engineering, 2004.
.. [Martelli03] A. Martelli, "Python in a Nutshell", O'Reilly Media
Inc, 2003.
2 changes: 1 addition & 1 deletion doc/source/download.rst
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Software
~~~~~~~~

Source and binary releases: https://pypi.python.org/pypi/networkx/
Source and binary releases: https://pypi.python.org/pypi/networkx-metis/

Github (latest development): https://github.com/networkx/networkx-metis/

1 change: 1 addition & 0 deletions doc/source/index.rst
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download
install
reference/index
bibliography

Indices and tables
==================
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19 changes: 11 additions & 8 deletions doc/source/overview.rst
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Overview
========

NetworkX-METIS is an add-on for the python language software NetworkX which depends uses METIS for graph partitioning.
NetworkX-METIS is an add-on for the `NetworkX`_ python package using `METIS`_ for graph partitioning.


Who uses NetworkX-METIS?
------------------
------------------------

Goals
-----

The Python programming language
-------------------------------

Python is a powerful programming language that allows simple and flexible representations of networks, and clear and concise expressions of network algorithms (and other algorithms too). Python has a vibrant and growing ecosystem of packages that NetworkX uses to provide more features such as numerical linear algebra and drawing. In addition
Python is also an excellent "glue" language for putting together pieces of software from other languages which allows reuse of legacy code and engineering of high-performance algorithms [Langtangen04]_.
Python is a powerful programming language that allows simple and flexible representations of networks, and clear and concise expressions of network algorithms (and other algorithms too). Python has a vibrant and growing ecosystem of packages that NetworkX uses to provide more features such as numerical linear algebra and drawing. In addition
Python is also an excellent "glue" language for putting together pieces of software from other languages which allows reuse of legacy code and engineering of high-performance algorithms [Langtangen04]_.

Equally important, Python is free, well-supported, and a joy to use.
Equally important, Python is free, well-supported, and a joy to use.

In order to make the most out of NetworkX you will want to know how to write basic programs in Python.
Among the many guides to Python, we recommend the documentation at
In order to make the most out of NetworkX-METIS you will want to know how to write basic programs in Python. Among the many guides to Python, we recommend the documentation at
http://www.python.org and the text by Alex Martelli [Martelli03]_.

Free software
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- :doc:`Installing </install>`

- :doc:`Reference </reference/index>`

.. _NetworkX: http://http://networkx.github.io/

.. _METIS: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview

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