Scientific Computing for Chemists: An Undergraduate Course in Simulations, Data Processing, and Visualization
Scientific Computing for Chemists: An Undergraduate Course in Simulations, Data Processing, and Visualization
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化学家科学计算：模拟、数据处理和可视化本科课程
DOI：
10.1021/acs.jchemed.7b00078
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发表时间：
2017
影响因子：
3
通讯作者：
C. J. Weiss
中科院分区：
文献类型：
--
作者：
C. J. Weiss
沃巴什学院教授的化学家科学计算课程教授化学学生使用 Python 编程语言、Jupyter 笔记本和许多常见的 Python 科学库来处理、分析和可视化数据。假设学生之前没有编程经验，本课程将向学生介绍基本编程，并应用这些技能来解决各种化学问题。该课程围绕 Jupyter 笔记本构建，作为讲座、作业集和项目的可轻松共享的文档；本课程中使用的软件是免费和开源的，任何学校或研究实验室都可以轻松访问。
The Scientific Computing for Chemists course taught at Wabash College teaches chemistry students to use the Python programming language, Jupyter notebooks, and a number of common Python scientific libraries to process, analyze, and visualize data. Assuming no prior programming experience, the course introduces students to basic programming and applies these skills to solve a variety of chemical problems. The course is structured around Jupyter notebooks as easily shareable documents for lectures, homework sets, and projects; the software used in this course is free and open source, making it easily accessible to any school or research lab.
影响因子：
7.4
作者：
Boeker, Peter;Leppert, Jan;Lammers, Peter Schulze
通讯作者：
Lammers, Peter Schulze