Transcription of Simulation Programming with Python - Northwestern …
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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.
This chapter will assume that you have the Numpy, Scipy, Matplotlib, and Statsmodels libraries installed. 4.1.1 Random numbers There are two groups of random-variate generations functions generally used, random from the Python Standard Library and the random variate generators in the scipy.stats model. A third source of random variate ...
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