.. raw:: html <style type="text/css"> .thumbnail {{ position: relative; float: left; margin: 10px; width: 180px; height: 200px; }} .thumbnail img {{ position: absolute; display: inline; left: 0; width: 170px; height: 170px; }} </style> scikit-xray: Data Analysis Tools for X-ray Science ================================================== .. raw:: html <div style="clear: both"></div> <div class="container-fluid hidden-xs hidden-sm"> <div class="row"> <div class="col-md-2 thumbnail"> </div> <div class="col-md-2 thumbnail"> </div> <div class="col-md-2 thumbnail"> </div> <div class="col-md-2 thumbnail"> </div> <div class="col-md-2 thumbnail"> </div> <div class="col-md-2 thumbnail"> </div> </div> </div> <br> Scikit-xray is a Python package providing tools for X-ray science. For a brief introduction to the ideas behind the package, you can read the :ref:`introductory notes <introduction>`. Users who prefer drag-and-drop software may prefer to use `vistrails <http://www.vistrails.org/index.php/Main_Page>`__, through which all the functionality of scikit-xray is also available. (Think LabView for X-ray image processing and data analysis.) The :ref:`tutorial <tutorial>` walks through several experiments from start to finish -- from the raw data to a publication-style plot. You can also browse the :ref:`API reference <api_ref>` for a quick overview of all the available tools. To check out the code, report a bug, or contribute a new feature, please visit the `github repository <https://github.com/Nikea/scikit-xray>`_. .. raw:: html <div class="container-fluid"> <div class="row"> <div class="col-md-6"> <h2>Documentation</h2> .. toctree:: :maxdepth: 1 introduction installation whatsnew resource/api/index resource/dev_guide/index .. raw:: html </div> <div class="col-md-6"> <h2>Tutorial</h2> .. raw:: html </div> </div> </div>