Python for scientific computing education: Modeling of queueing systems

Authors:
Vladimiras Dolgopolovas;Valentina Dagienė;Saulius Minkevičius;Leonidas Sakalauskas
Affiliations:
Informatics Methodology Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, Lithuania;Informatics Methodology Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, Lithuania;Operational Research Sector at System Analysis Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, Lithuania;Operational Research Sector at System Analysis Department, Institute of Mathematics and Informatics of Vilnius University, Vilnius, Lithuania
Venue:
Scientific Programming
Year:
2014

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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.