AsaPy is a custom-made Python library designed to simplify and optimize the analysis of simulation data. It offers a range of features, including the design of experiment methods, statistical analysis techniques, machine learning algorithms, and data visualization tools. AsaPy's flexibility and customizability make it a viable solution for engineers and researchers who need to quickly gain insights into constructive simulations. AsaPy is built on top of popular scientific computing libraries, ensuring high performance and scalability. In this work, we provide an overview of the key features and capabilities of AsaPy, followed by an exposition of its architecture and demonstrations of its effectiveness through some use cases applied in military operational simulations. We also evaluate how other simulation tools deal with data science, highlighting AsaPy's strengths and advantages. Finally, we discuss potential use cases and applications of AsaPy and outline future directions for the development and improvement of the library.

翻译：AsaPy是一个专为简化和优化仿真数据分析而开发的Python库。它提供了一系列功能，包括实验设计方法、统计分析技术、机器学习算法及数据可视化工具。凭借其灵活性和可定制性，AsaPy成为工程师和研究人员快速获取建设性仿真洞察的有效解决方案。该库构建于主流科学计算库之上，确保了高性能与可扩展性。本文首先概述了AsaPy的核心特性与能力，随后阐述了其架构，并通过军用作战仿真中的若干用例展示了其有效性。我们还评估了其他仿真工具处理数据科学的方式，凸显了AsaPy的优势。最后，我们探讨了AsaPy的潜在应用场景，并规划了该库未来开发与改进的方向。