聊天GPT,Python,以及微软的Excel
Kaique Sbampato1, Humberto Arruda2, Édison Renato Silva3
1kaique.sbampato@poli.ufrj.br, Production Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Journal of the Medical Library Association : JMLA
|February 20, 2025
概括
本研究评估了ChatGPT 4.0,Python 3.12.1和Microsoft Excel 365在科学研究任务中的功能. 调查结果突出了它们在数据分析和内容生成方面的各自优势和局限性.
科学领域:
- 人工智能的人工智能
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 人工智能和软件工具的快速发展需要对科学应用进行评估.
- 聊天GPT 4.0,Python 3.12.1和微软Excel 365代表了现代研究中的关键技术.
研究的目的:
- 在科学背景下评估ChatGPT 4.0,Python 3.12.1和Microsoft Excel 365的实用性和性能.
- 为研究相关任务确定每个工具的优点和弱点.
主要方法:
- 对ChatGPT 4.0进行比较分析,用于文本生成和数据解释.
- 评估Python 3.12.1用于数据处理,统计分析和可视化.
- 评估Microsoft Excel 365用于基于电子表格的数据管理和基本分析.
主要成果:
- 聊天GPT 4.0 证明了在总结文献和生成假设方面的熟练程度,但需要仔细验证.
- Python 3.12.1 为复杂的数据分析和可重复的研究工作流提供了强大的功能.
- 微软Excel 365在简单的数据组织和可视化方面是有效的,但在高级统计建模方面是有限的.
结论:
- 每个工具在科学工作流程中都有不同的作用,从构思到分析.
- 整合这些技术可以提高研究效率,只要理解它们的局限性.
- 建议进行进一步的研究,以探索复杂的科学挑战的混合方法.
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