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Python for Scientific Computing Education: Modeling of Queueing Systems
Author(s) -
Vladimiras Dolgopolovas,
Valentina Dagienė,
Saulius Minkevičius,
Leonidas Sakalauskas
Publication year - 2014
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2014/164306
Subject(s) - python (programming language) , computer science , queueing theory , distributed computing , theoretical computer science , computational science , programming language , parallel computing , computer network
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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