用Python设计、开发和分析月相可见性标准
The analysis of lunar crescent visibility criterion is vital in providing a comparative insight for predicting the visibility and suitability for Hijri calendar determination. While there have been previous attempts to measure the performance of lunar crescent visibility criterion, these attempts only apply to a singular analysis and not a comparative examination.
Design, Development and Analysis of Lunar Crescent Visibility Criterion with Python explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. The analysis tool, called HilalPy and HilalObs, was developed in the form of a Python library, so that it can be integrated into other software and webpages to enable deployment into various operating systems. This book will provide useful insights for the future development of lunar crescent visibility criterion, particularly for calendrical purposes.
Key Features
● Presents an analysis tool for lunar crescent visibility based on an integrated lunar crescent report database.
● Offers researchers and practitioners the capability to perform comparative analyses of the percentage of reliability in lunar crescent visibility criteria, thereby contributing to the construction of robust criteria for determining the Hijri calendar.
● Provides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar.
对月形单看的分析对于提供预测可见性和确定古尔邦历适用性的比较见解至关重要。尽管已经有一些尝试来衡量对月形单看标准的性能，但这些尝试只适用于单一分析而非对比评估。 使用Python设计、开发和分析对月形单看标准的研究探讨了基于集成月形单看报告数据库的分析工具的发展。这个工具被称为HilalPy和HilalObs，并以Python库的形式开发出来，以便可以将其嵌入到其他软件和网页中，从而能够在各种操作系统上部署。这本书将为未来对月形单看标准的发展提供有用的见解，尤其是在历法方面。 关键特点 ● 提供基于集成月形单报告数据库的对月形单看分析工具。 ● 为研究人员和从业者提供了比较分析可靠性百分比的能力，有助于构建确定古尔邦历的稳健标准。 ● 向参与古尔邦历决定的研究人员、学生、政策制定者和从业者提供全面资源。
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