Charming Python: SimPy simplifies complex models (IBM developerWorks)

[Posted December 31, 2002 by cook]

David Mertz introduces SimPy on IBM's developerWorks. "The stochastic behavior of real-world systems is often difficult to understand or predict. Sometimes it is possible rigorously to demonstrate statistical properties of systems, such as average, worst-case, and best-case performance features. But at other times, pitfalls of concrete designs only become evident when you actually run (or simulate) a system. In this article, David takes a look at SimPy, a Python package that allows you to very easily create models of discrete event systems."

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