ProceedingsSciPy ProceedingsContent License: Creative Commons Attribution 3.0 Unported (CC-BY-3.0)Credit must be given to the creatorProceedings of the 7th Python in Science ConferenceSciPy 2008, Pasadena, California August 19 - August 24June 28, 2008https://doi.org/10.25080/PFVC8793Download PDFSupporting DocumentsOrganizationAccepted Papers¶EditorialEditorialGael Varoquaux, Travis Vaught, Jarrod Millmanhttps://doi.org/10.25080/HXDH2061The State of SciPyThe State of SciPyJarrod Millman, Travis Vaughthttps://doi.org/10.25080/HNCD8803Exploring Network Structure, Dynamics, and Function using NetworkXExploring Network Structure, Dynamics, and Function using NetworkXAric A. Hagberg, Daniel A. Schult, Pieter J. Swarthttps://doi.org/10.25080/TCWV9851Interval Arithmetic: Python Implementation and ApplicationsInterval Arithmetic: Python Implementation and ApplicationsStefano Taschinihttps://doi.org/10.25080/XJFF2622Experiences Using SciPy for Computer Vision ResearchExperiences Using SciPy for Computer Vision ResearchDamian Eads, Edward Rostenhttps://doi.org/10.25080/GVTA4131The SciPy Documentation Project (Technical Overview)The SciPy Documentation Project (Technical Overview)Stefan Johann Van Walthttps://doi.org/10.25080/PHXV5628Matplotlib Solves the Riddle of the SphinxMatplotlib Solves the Riddle of the SphinxMichael Droettboomhttps://doi.org/10.25080/CTJE0023The SciPy Documentation ProjectThe SciPy Documentation ProjectJoseph Harringtonhttps://doi.org/10.25080/MJHW7647Pysynphot: A Python Re-Implementation of a Legacy App in AstronomyPysynphot: A Python Re-Implementation of a Legacy App in AstronomyVictoria G. Laidler, Perry Greenfield, Ivo Busko, +1https://doi.org/10.25080/FCPW4186How the Large Synoptic Survey Telescope (LSST) is using PythonHow the Large Synoptic Survey Telescope (LSST) is using PythonRobert Luptonhttps://doi.org/10.25080/XKAE7942Realtime Astronomical Time-series Classification and Broadcast PipelineRealtime Astronomical Time-series Classification and Broadcast PipelineDan Starr, Josh Bloom, John Brewerhttps://doi.org/10.25080/YWCT3772Analysis and Visualization of Multi-Scale Astrophysical Simulations Using Python and NumPyAnalysis and Visualization of Multi-Scale Astrophysical Simulations Using Python and NumPyMatthew Turkhttps://doi.org/10.25080/GCTE1526Mayavi: Making 3D Data Visualization ReusableMayavi: Making 3D Data Visualization ReusablePrabhu Ramachandran, Gaël Varoquauxhttps://doi.org/10.25080/XCPY1744Finite Element Modeling of Contact and Impact Problems Using PythonFinite Element Modeling of Contact and Impact Problems Using PythonRyan Krausshttps://doi.org/10.25080/GKXP5132Circuitscape: A Tool for Landscape EcologyCircuitscape: A Tool for Landscape EcologyViral B. Shah, Brad McRaehttps://doi.org/10.25080/EWDJ4033Summarizing Complexity in High Dimensional SpacesSummarizing Complexity in High Dimensional SpacesKarl Younghttps://doi.org/10.25080/XYFC8951Converting Python Functions to Dynamically Compiled CConverting Python Functions to Dynamically Compiled CIlan Schnellhttps://doi.org/10.25080/TDNX3626unPython: Converting Python Numerical Programs into CunPython: Converting Python Numerical Programs into CRahul Garg, Jose Nelson Amaralhttps://doi.org/10.25080/XGYX8633Proceedings of the 7th Python in Science ConferenceOrganization
