Spreadsheet Modeling and Wrangling with Python

Q3 Social Sciences
Mark W. Isken
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引用次数: 0

Abstract

A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and data-wrangling tasks. In addition, students are exposed to basic software engineering principles, including project folder structures, version control, object-oriented programming, and other more advanced Python skills, creating deployable packages and documentation. The module is supported with Jupyter notebooks, Python scripts, course web pages that include numerous screencasts, and a few GitHub repositories. All of the supporting materials are permissively licensed and freely accessible.Supplemental Material: The supplemental files are available at https://doi.org/10.1287/ited.2023.0047 .
使用 Python 进行电子表格建模和处理
许多基于电子表格的管理科学课程的主要内容是使用 Excel 进行模型构建、敏感性分析、目标寻求和蒙特卡洛模拟等活动。如果使用 Python,这些活动会是什么样子呢?我们描述了一个教学模块,在这个模块中,Python 被用来完成典型的基于 Excel 的建模和数据处理任务。此外,学生们还会接触到基本的软件工程原理,包括项目文件夹结构、版本控制、面向对象编程和其他更高级的 Python 技能,创建可部署的软件包和文档。该模块由 Jupyter 笔记本、Python 脚本、包含大量截屏视频的课程网页和一些 GitHub 存储库提供支持。所有辅助材料均有许可,可免费访问:补充文件可在 https://doi.org/10.1287/ited.2023.0047 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
INFORMS Transactions on Education
INFORMS Transactions on Education Social Sciences-Education
CiteScore
1.70
自引率
0.00%
发文量
34
审稿时长
52 weeks
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