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Proceedings of the 7th Python in Science Conference

SciPy 2008, Pasadena, California August 19 - August 24

Accepted Papers

Editorial

Gael Varoquaux, Travis Vaught, Jarrod Millman

doi: 10.25080/HXDH2061, pages: 3-4

The State of SciPy

Jarrod Millman, Travis Vaught

doi: 10.25080/HNCD8803, pages: 5-10

Exploring Network Structure, Dynamics, and Function using NetworkX

Aric A. Hagberg, Daniel A. Schult, Pieter J. Swart

doi: 10.25080/TCWV9851, pages: 11-15

Interval Arithmetic: Python Implementation and Applications

Stefano Taschini

doi: 10.25080/XJFF2622, pages: 16-21

Experiences Using SciPy for Computer Vision Research

Damian Eads, Edward Rosten

doi: 10.25080/GVTA4131, pages: 22-26

The SciPy Documentation Project (Technical Overview)

Stefan Johann Van Walt

doi: 10.25080/PHXV5628, pages: 27-28

Matplotlib Solves the Riddle of the Sphinx

Michael Droettboom

doi: 10.25080/CTJE0023, pages: 29-32

The SciPy Documentation Project

Joseph Harrington

doi: 10.25080/MJHW7647, pages: 33-35

Pysynphot: A Python Re-Implementation of a Legacy App in Astronomy

Victoria G. Laidler, Perry Greenfield, Ivo Busko, Robert Jedrzejewski

doi: 10.25080/FCPW4186, pages: 36-38

How the Large Synoptic Survey Telescope (LSST) is using Python

Robert Lupton

doi: 10.25080/XKAE7942, pages: 39-41

Realtime Astronomical Time-series Classification and Broadcast Pipeline

Dan Starr, Josh Bloom, John Brewer

doi: 10.25080/YWCT3772, pages: 42-45

Analysis and Visualization of Multi-Scale Astrophysical Simulations Using Python and NumPy

Matthew Turk

doi: 10.25080/GCTE1526, pages: 46-50

Mayavi: Making 3D Data Visualization Reusable

Prabhu Ramachandran, Gaël Varoquaux

doi: 10.25080/XCPY1744, pages: 51-56

Finite Element Modeling of Contact and Impact Problems Using Python

Ryan Krauss

doi: 10.25080/GKXP5132, pages: 57-61

Circuitscape: A Tool for Landscape Ecology

Viral B. Shah, Brad McRae

doi: 10.25080/EWDJ4033, pages: 62-65

Summarizing Complexity in High Dimensional Spaces

Karl Young

doi: 10.25080/XYFC8951, pages: 66-69

Converting Python Functions to Dynamically Compiled C

Ilan Schnell

doi: 10.25080/TDNX3626, pages: 70-72

unPython: Converting Python Numerical Programs into C

Rahul Garg, Jose Nelson Amaral

doi: 10.25080/XGYX8633, pages: 73-76