Index: Index

Abstract

This paper summarizes experiences made with using Python for implementing an interactive environment for Discrete Event Simulation of patchy animal populations. The main novel features of the system are runtime assembly of the simulation object sources allowing for easy integration of user-defined code, flexible monitoring of the simulation process using fast numerical arrays of variable dimensionality (based on the Numerical Python extension), and realtime multivariate analysis of the simulation results.