.. pyJac documentation master file, created by sphinx-quickstart on Tue Apr 12 16:33:22 2016. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. pyJac ===== **pyJac** is a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices, customized for a particular model/reaction mechanism. **pyJac** welcomes your feedback and/or contributions. It relies heavily on the `numpy`_ libraries for core functionality, and other libraries including the `Cython`_ language and `Cantera`_ for functional and performance testing. .. _numpy: http://numpy.org .. _Cython: http://cython.org .. _Cantera: http://www.cantera.org Documentation ------------- .. toctree:: :maxdepth: 1 overview faqs examples installing src/index Indices and tables ------------------ * :ref:`genindex` * :ref:`modindex` * :ref:`search` Citation -------- Up-to-date information about citing **pyJac** can be found within the `CITATION.md`_ file. .. _CITATION.md: https://github.com/slackha/pyJac/blob/master/CITATION.md See also -------- - The published `pyJac v1 paper`_ - Kyle Niemeyer, Nick Curtis, and Chih-Jen Sung's `WSSCI Fall 2015 paper`_ introducing - The associated `WSSCI Fall 2015 slides`_ .. _pyJac v1 paper: https://arxiv.org/abs/1605.03262 .. _WSSCI Fall 2015 paper: https://dx.doi.org/10.6084/m9.figshare.2075515.v1 .. _WSSCI Fall 2015 slides: http://www.slideshare.net/kyleniemeyer/initial-investigation-of-pyjac-an-analytical-jacobian-generator-for-chemical-kinetics Get in touch ------------ - Please report bugs, suggest feature ideas, and browse the source code `on GitHub`_. - There, new contributors can also find `a guide to contributing`_. - Additionally, you may join our `user group`_ for further support and to be notified of new releases, features, etc. - You can also contact Kyle `on Twitter`_. .. _on GitHub: https://github.com/slackha/pyJac .. _a guide to contributing: https://github.com/slackha/pyJac/blob/master/CONTRIBUTING.md .. _user group: https://groups.io/g/slackha-users .. _on Twitter: http://twitter.com/kyleniemeyer License ------- **pyJac** is available under the open-source `MIT License`__. __ https://raw.githubusercontent.com/kyleniemeyer/pyJac/master/LICENSE