Geospatial Application Development Using (21 results)
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Paperback. Condition: New. Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledg…e gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data. Tailored to meet the discerning needs of scholars, researchers, and professionals, this book represents an invaluable resource. It offers a comprehensive reference for those aiming to enhance their proficiency in spatial analysis and computer programming, thus encouraging innovation and progress in this dynamic field. For educators and students aspiring to excel in the use of spatial technology and Python programming, this book serves as a catalyst for advancement, contributing to the solution of effectively meeting the increasing demand for precise geographical data and its diverse applications. Geospatial Application Development Using Python Programming is the needed transformative response to a critical academic challenge.
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Geospatial Application Development Using Python Programming
Galety, Mohammad Gouse (EDT); Natarajan, Arul Kumar (EDT); Gedefa, Tesfaye Fufa (EDT); Lemma, Tsegaye Demsis (EDT)
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Geospatial Application Development Using Python Programming
Galety, Mohammad Gouse (EDT); Natarajan, Arul Kumar (EDT); Gedefa, Tesfaye Fufa (EDT); Lemma, Tsegaye Demsis (EDT)
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Geospatial Application Development Using Python Programming
Galety, Mohammad Gouse (EDT); Natarajan, Arul Kumar (EDT); Gedefa, Tesfaye Fufa (EDT); Lemma, Tsegaye Demsis (EDT)
- Hardcover
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Geospatial Application Development Using Python Programming
Galety, Mohammad Gouse (EDT); Natarajan, Arul Kumar (EDT); Gedefa, Tesfaye Fufa (EDT); Lemma, Tsegaye Demsis (EDT)
- Hardcover
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- Softcover
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Paperback. Condition: New. Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledg…e gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data. Tailored to meet the discerning needs of scholars, researchers, and professionals, this book represents an invaluable resource. It offers a comprehensive reference for those aiming to enhance their proficiency in spatial analysis and computer programming, thus encouraging innovation and progress in this dynamic field. For educators and students aspiring to excel in the use of spatial technology and Python programming, this book serves as a catalyst for advancement, contributing to the solution of effectively meeting the increasing demand for precise geographical data and its diverse applications. Geospatial Application Development Using Python Programming is the needed transformative response to a critical academic challenge.
Published by IGI Global, 2024
- Softcover
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Taschenbuch. Condition: Neu. Geospatial Application Development Using Python Programming | Mohammad Gouse Galety (u. a.) | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9798369346419 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. Geospatial Application Development Using Python Programming | Mohammad Gouse Galety (u. a.) | Buch | Englisch | 2024 | IGI Global | EAN 9798369317549 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and d…isaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data.
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