Simulation Programming with Python - Northwestern …

Chapter 4 Simulation Programmingwith PythonThis chapter shows how simulations of some of the examples in Chap. 3 can beprogrammed using Python and the SimPy Simulation library[1]. The goals ofthe chapter are to introduce SimPy, and to hint at the experiment design andanalysis issues that will be covered in later chapters. While this chapter willgenerally follow the flow of Chap. 3, it will use the conventions and patternsenabled by the SimPy SimPy OverviewSimPy is an object-oriented, process-based discrete-event Simulation library forPython. It is open source and released under the M license. SimPy providesthe modeler with components of a Simulation model including processes, foractive components like customers, messages, and vehicles, and resources, forpassive components that form limited capacity congestion points like servers,checkout counters, and tunnels.

yield release: used to indicate that the process is done using the given resource, thus enabling the next thread in the queue, if any, to use the resource; yield passivate: used to have a process wait until \awakened" by some other process. A Process is based on a sequence of these yield generators along with simulation logic.

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