Python for Water and Environment (Hardcover). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2024
- Erstausgabe
- Hardcover
- Neu

Anbieter: Grand Eagle Retail, Bensenville, IL, USAGrand Eagle Retail
Verkäufer:in bei AbeBooks seit 12. Oktober 2005
Zustand: Neu
EUR 133,52
Artikelbeschreibung des Verkäufers
Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Bestandsnummer des Verkäufers 9789819994076
- Titel
- Python for Water and Environment (Hardcover)
- Autor
- Anil Kumar
- Verlag
- Springer Verlag, Singapore, Singapore
- Erscheinungsjahr
- 2024
- Zustand
- new
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 9819994071
- ISBN-13
- 9789819994076
- Auflage
- 1. Auflage
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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Über die Autorin bzw. den Autor
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