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Design, Development and Analysis of Lunar Crescent Visibility Criterion With Python - Couverture souple
Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
Muhamad Syazwan Faid, PhD. Department of Islamic Studies, Centre for General Studies and Co-curricular, Universiti Tun Hussein Onn Malaysia
Mohd Saiful Anwar Mohd Nawawi, PhD. Department of Fiqh and Usul, Academy of Islamic Studies, Universiti Malaya.
Mohd Hafiz Mohd Saadon PhD. Department of Fiqh and Usul, Academy of Islamic Studies, Universiti Malaya.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. 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 databaseOffers 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 calendarProvides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032881058
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ISBN 13 : 9781032881058
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Paperback. Etat : new. Paperback. 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 databaseOffers 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 calendarProvides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032881058
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Design, Development and Analysis of Lunar Crescent Visibility Criterion With Python (Paperback)
Edité par
Taylor & Francis Ltd, London, 2026
ISBN 10 : 1032881054
ISBN 13 : 9781032881058
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Paperback. Etat : new. Paperback. 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 databaseOffers 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 calendarProvides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781032881058
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