Wednesday, July 9

MS73
Python and Sage: Open Source Scientific Computing - Part II of III

4:00 PM - 6:00 PM
Room: Town & Country

For Part I, see MS60

For Part III, see MS81

This minisymposium will cover both infrastructure and applications of the Python language in scientific computing.

Python is an open source, high level language that is rapidly growing as an alternative to proprietary systems for scientific computing. Based on Python, the Sage project (http://sagemath.org) unifies both Python libraries and interfaces to other non-python projects. With this approach, Sage offers a comprehensive and growing set of mathematical capabilities, from number theory to symbolic computing.

Organizer: Fernando Perez
University of Colorado at Boulder
Randall J. LeVeque
University of Washington

4:00-4:25 Cython: A Python to C Compiler

Robert Bradshaw, University of Washington, Seattle

4:30-4:55 Exact Linear Algebra in Sage

Clement Pernet, University of Washington

5:00-5:25 EagleClaw: Easy Access Graphical Laboratory for Exploring Conservation Laws

Kyle T. Mandli, University of Washington

5:30-5:55 Investigating Flight Behaviour of Fruit Flies Using Multi-camera Tracking

Andrew D. Straw and Michael H. Dickinson, California Institute of Technology

Cancelled 5:00-5:25 NiPy: Neuroimaging in Python

Matthew Brett, Cambridge University, United Kingdom; Jonathan E. Taylor, Stanford University; K. Jarrrod Millman, University of California, Berkeley