Python for scientific computing education: Modeling of queueing systems

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Abstract

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.

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Dolgopolovas, V., Dagiene, V., Minkevičius, S., & Sakalauskas, L. (2014). Python for scientific computing education: Modeling of queueing systems. Scientific Programming, 22(1), 37–51. https://doi.org/10.1155/2014/164306

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