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Sinopsis
This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
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Acerca del autor
Dr. Manabendra Saharia is an assistant professor in the Department of Civil Engineering and an associate faculty member of the Yardi School of Artificial Intelligence at the Indian Institute of Technology Delhi. Prior to joining IIT Delhi, he held positions in the hydrology labs of the NASA Goddard Space Flight Center and the National Center for Atmospheric Research (NCAR). He received his Ph.D. in Water Resources Engineering from the University of Oklahoma. At IIT Delhi, his HydroSense research lab focuses on utilizing physics and data-driven techniques to monitor and mitigate natural hazards such as floods and landslides. He has been recognized for his scientific contributions, having received Young Scientist awards from both the National Academy of Sciences, India (NASI), and the International Society for Energy, Environment and Sustainability (ISEES).
Dr. Anil Kumar is a senior project scientist in the Department of Civil Engineering at the Indian Institute of Technology Delhi. He received his Ph.D. in Computational Geosciences jointly from Monash University (Australia) and the Indian Institute of Technology Bombay (India). He received a B.Tech. in Geophysical Technology from the Indian Institute of Technology Roorkee. He has been working as a researcher in the field of machine learning and numerical modeling and has helped develop innovative solutions for the oil, gas, and mining industry.
De la contraportada
This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Python for Water and Environment (eng)
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Python for Water and Environment
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Springer Nature Singapore, Springer Nature Singapore Mär 2025, 2025
ISBN 10: 9819994101
ISBN 13: 9789819994106
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Python for Water and Environment
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, 'Practical Python for a Water and Environment Professional,' guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, 'Statistical Modeling in Hydrology,' covers regression models, time series analysis, and common hypothesis testing. The Part III, 'Surface and Subsurface Water,' illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, 'Environmental Applications,' demonstrates the application of Python in the study of various contaminant transport phenomena. Nº de ref. del artículo: 9789819994106
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Python for Water and Environment
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Springer, Springer Mär 2025, 2025
ISBN 10: 9819994101
ISBN 13: 9789819994106
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, 'Practical Python for a Water and Environment Professional,' guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, 'Statistical Modeling in Hydrology,' covers regression models, time series analysis, and common hypothesis testing. The Part III, 'Surface and Subsurface Water,' illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, 'Environmental Applications,' demonstrates the application of Python in the study of various contaminant transport phenomena.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch. Nº de ref. del artículo: 9789819994106
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Python for Water and Environment
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Taschenbuch. Condición: Neu. Python for Water and Environment | Anil Kumar (u. a.) | Taschenbuch | Innovations in Sustainable Technologies and Computing | xix | Englisch | 2025 | Springer | EAN 9789819994106 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 133221327
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