Pizza.py WWW Site

Pizza.py Thanks

This page acknowledges our funding, contributors to Pizza.py, and the various software packages wrapped and accessed by Pizza.py.


Pizza.py has been developed at Sandia National Laboratories which is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

Funding for Pizza.py development has come from the US Department of Energy (DOE), through its LDRD and Genomes-to-Life programs. The latter effort has been funded by DOE's ASCR and BER offices as part of the US Department of Energy's Genomics:GTL program (www.doegenomestolife.org) under the project, "Carbon Sequestration in Synechococcus Sp.: From Molecular Machines to Hierarchical Modeling".


The chief author of Pizza.py is Steve Plimpton who can be contacted at sjplimp at sandia.gov.

Matt Jones, a BYU student who was a summer intern at Sandia, wrote several of the coolest tools in Pizza.py and about half the code in the initial version. Considering Matt didn't even know Python when he started, his contribution is a kudo to Matt's abilities and to the ease with which Python enables people to do complex stuff quickly!

These folks have contributed code for tools or scripts that are part of the Pizza.py distribution:

pair tool Paul Crozier (Sandia)
block.py script Paul Crozier (Sandia)
density.py script Paul Crozier (Sandia)
flux.py script Paul Crozier (Sandia)
group_energy.py script Paul Crozier (Sandia)

I also wish to thank the following individuals and their software, without which Pizza.py would not be very useful:

Rick Muller at Sandia for Python advice and encouragement and his Vimes (Visual Interface to Materials Simulation) package written in Python that shares a common vision with Pizza.py.

Nathan Gray, who wrote LazyPython.py, which showed me how to make the top-level of Pizza.py both simple and functional.

Mike Fletcher, the head of the PyOpenGL project, which allows Pizza.py to do 3d interactive OpenGL visualization.

Authors of great, freely-available software that Pizza.py is able to wrap and use to good effect - RasMol, Raster3d, GnuPlot.