Thursday, March 5

MS109
Python for Scientific Computing - Part II of III

2:00 PM - 4:00 PM
Room: Symphony II

For Part I, see MS98

For Part III, see MS121

The Python scripting language is rapidly growing in both popularity and power as a tool in computational science and engineering. It is used for a variety of purposes including rapid prototyping, interfacing between legacy codes in different languages, CGI scripting and GUI programming, and as a replacement for popular commercial packages for numerical and symbolic computing or graphics.

There have been many exciting recent developments in Python due to a very active user and developer community producing open source tools. This minisymposium will explore some recent developments of interest to teachers and practitioners of CSE.

Organizer: Hans Petter Langtangen
Simula Research Laboratory and University of Oslo, Norway
Randall J. LeVeque
University of Washington
Fernando Perez
University of Colorado at Boulder

2:00-2:25 Exploring Network Structure, Dynamics, and Function using NetworkX

Aric Hagberg, Los Alamos National Laboratory

2:30-2:55 Matplotlib: Data Visualization in Python

John Hunter, Tradelink, Inc.

3:00-3:25 VisIt's Python Interface for Visualization and Analysis

Hank Childs, Lawrence Berkeley National Laboratory; Brad Whitlock and Cyrus Harrison, Lawrence Livermore National Laboratory

3:30-3:55 An Efficient Computer Algebra System for Python

Pearu Peterson, Tallinn Technical University, Estonia