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.

中文翻译：

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用于科学计算教育的Python：排队系统建模

在本文中，我们介绍了基于模型中心学习的科学计算入门方法。我们提出多阶段排队系统作为学习对象的基础。我们使用Python和并行编程来实现模型，并提供计算机代码和随机模拟结果。