3
0
mirror of https://github.com/triqs/dft_tools synced 2024-12-26 14:23:38 +01:00
dft_tools/doc/reference/python/data_analysis/contents.rst
Olivier Parcollet f2c7d449cc First commit : triqs libs version 1.0 alpha1
for earlier commits, see TRIQS0.x repository.
2013-07-17 19:24:07 +02:00

27 lines
620 B
ReStructuredText

.. index:: analysis
.. _data_analysis:
Data analysis
###################################
Python is a very powerful tool to manage data, plot them, fit them.
Since all TRIQS basic objects are pythonic, and have the correct interface to be plotted e.g.,
scripting the data analysis and the production of figures is easy, with the help
of the standard scientific python libraries
`numpy <http://docs.scipy.org/doc/numpy/user>`_,
`scipy <http://www.scipy.org>`_ and
`matplotlib <http://matplotlib.sourceforge.net>`_.
.. toctree::
:maxdepth: 2
hdf5/contents
plotting/plotting
fit/fit
provenance