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Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032866926 ISBN 13: 9781032866925
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Añadir al carritoHardback. Condición: New. 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.
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Añadir al carritoCondición: New. Muhamad Syazwan Faid, PhD. Department of Islamic Studies, Centre for General Studies and Co-curricular, Universiti Tun Hussein Onn MalaysiaMohd Saiful Anwar Mohd Nawawi, PhD. Department of Fiqh and Usul, Academy of Islamic Studies, U.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032866926 ISBN 13: 9781032866925
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Añadir al carritoHardback. Condición: New. 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.
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Añadir al carritoBuch. Condición: Neu. Design, Development and Analysis of Lunar Crescent Visibility Criterion With Python | Muhamad Syazwan Bin Faid (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032866925 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032866926 ISBN 13: 9781032866925
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Añadir al carritoHardcover. Condición: new. Hardcover. 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.
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Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032866926 ISBN 13: 9781032866925
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Añadir al carritoHardcover. Condición: new. Hardcover. 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.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2024
ISBN 10: 1032866926 ISBN 13: 9781032866925
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoHardcover. Condición: new. Hardcover. 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.