相關主題
商品描述
The use of Python as a powerful computational tool is expanding with great strides. Python is a language which is easy to use, and the libraries of tools provides it with efficient versatility. As the tools continue to expand, users can create insightful models and simulations. While the tools offer an easy method to create a pipeline, such constructions are not guaranteed to provide correct results. A lot of things can go wrong when building a simulation - deviously so. Users need to understand more than just how to build a process pipeline.
Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills using different computational environments, and includes a number of interesting examples, including Shakespeare, movie databases, virus spread, and Chess.
Key Features:
- Several theories and applications are provided, each with working Python scripts.
- All Python functions written for this book are archived on GitHub.
Readers do not have to be Python experts, but a working knowledge of the language is required. Students who want to know more about the foundations of modeling and simulation will find this an educational and foundational resource.
作者簡介
Jason M. Kinser is Chair of the Department of Computational and Data Sciences at George Mason University. Dr. Kinser has taught more than 30 different courses at Mason in several departments including Computational & Data Sciences, Physics, Bioinformatics, Forensics, and even Biology. His research interests include analysis of images, fusion of image content non-image data, and education.
作者簡介(中文翻譯)
Jason M. Kinser 是喬治梅森大學計算與數據科學系的主任。Kinser 博士在喬治梅森大學的多個系所教授過30多門不同的課程，包括計算與數據科學、物理學、生物信息學、法醫學，甚至生物學。他的研究興趣包括圖像分析、圖像內容與非圖像數據的融合，以及教育。
