Simulation Programming with Python

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Chapter 4Simulation 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.

Within SimPy, the yield statements are used to de ne the event scheduling. This is used for a process to either do something to itself (e.g. the next car arrives); to request a resource, such as requesting a server; to release a resource,

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