bandicoot 0.5.1

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bandicoot

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**bandicoot** (http://bandicoot.mit.edu ) is Python toolbox to analyze
mobile phone metadata. It provides a complete, easy-to-use environment
for data-scientist to analyze mobile phone metadata. With only a few
lines of code, load your datasets, visualize the data, perform analyses,
and export the results.

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Bandicoot interactive visualization

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Where to get it
---------------

The source code is currently hosted on Github at
https://github.com/yvesalexandre/bandicoot. Binary installers for the
latest released version are available at the Python package index:

::

http://pypi.python.org/pypi/bandicoot/

And via ``easy_install``:

.. code:: sh

easy_install bandicoot

or ``pip``:

.. code:: sh

pip install bandicoot

Dependencies
------------

bandicoot has no dependencies, which allows users to easily compute
indicators on a production machine. To run tests and compile the
visualization, optional dependencies are needed:

- `numpy <http://www.numpy.org/>`__,
`scipy <https://www.scipy.org/>`__, and
`networkx <https://networkx.github.io/>`__ for tests,
- `npm <http://npmjs.com>`__ to compile the js and css files of the
dashboard.

Licence
-------

MIT

Documentation
-------------

The official documentation is hosted on
`bandicoot.mit.edu/docs <http://bandicoot.mit.edu/docs>`__. It includes
a quickstart tutorial, a detailed reference for all functions, and
guides on how to use and extend bandicoot.