Python for Water and Environment (Hardcover). Cet article n’est pas disponible.
Langue : anglais
Edité par Springer Verlag, Singapore, Singapore, 2024
- Éd. originale
- Livre relié
- Neuf

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
Vendeur AbeBooks depuis 12 octobre 2005
Etat: Neuf
EUR 133,52
A propos de cet article
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.…
N° de réf. du vendeur 9789819994076
- Titre
- Python for Water and Environment (Hardcover)
- Auteur
- Anil Kumar
- Éditeur
- Springer Verlag, Singapore, Singapore
- Année de publication
- 2024
- État de l'article
- new
- Reliure
- Hardcover
- Langue
- anglais
- ISBN à 10 chiffres
- 9819994071
- ISBN à 13 chiffres
- 9789819994076
- Édition
- Edition originale
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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