Jacob Hummel edited Abstract.tex  about 8 years ago

Commit id: c5bde37eea61704e20e0d3c369b2109b48c051fa

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\begin{abstract}  This paper will fully describe the motivation for, and capabilities of, the open-source python code 'pyGadget' (https://github.com/hummel/pyGadget). Any submitted manuscript would be similar in scope to the papers describing the yt project (ApJS, 2011, 192, 9), and the astropy project (A&A, (A\&A,  2013, 558, 33), though more narrow in focus. The goal of this project is to leverage the capabilities of the broader python scientific computing ecosystem by providing a framework for analyzing simulation data from the astrophysical simulation code GADGET using pandas. Pandas is a thoroughly documented, open-source, BSD-licensed library providing high-performance, easy-to-use data structures and is quickly becoming the standard for data analysis in python.  \end{abstract}