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Python for Scientific Computing Education: Modeling of Queueing Systems
2014
Scientific Programming
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In this paper, we present the methodology for the introduction to scientific computing based on model-centered learning. We propose multiphase queueing systems as a basis for learning objects. We use Python and parallel programming for implementing the models and present the computer code and results of stochastic simulations.
doi:10.1155/2014/164306
fatcat:5nmtsquwxfdqdefk35llj3xctm