Simulation Programming with Python - Northwestern …

← Back to document page

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. 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.

libraries that make up the Python scienti c computing ecosystem centered on Numpy and Scipy[3]. As such, it can easily be used with other Python packages for plotting (Matplotlib), GUI (WxPython, TKInter, PyQT, etc.), statistics (scipy.stats, statsmodels), and databases. This chapter will assume that you

  Programming, Python, With, Simulation, Scienti c, Scienti, Simulation programming with python