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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom