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Python for water and environment

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python for water and environmentby Anil Kumar, Manabendra Saharia.
Author:	Anil Kumar.
other author:	Saharia, Manabendra.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xix, 288 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	HydrologyComputer simulation.
Online resource:	https://doi.org/10.1007/978-981-99-9408-3
ISBN:	9789819994083$q(electronic bk.)

Python for water and environment
Anil Kumar.

Python for water and environment[electronic resource] /by Anil Kumar, Manabendra Saharia. - Singapore :Springer Nature Singapore :2024. - xix, 288 p. :ill. (chiefly col.), digital ;24 cm. - Innovations in sustainable technologies and computing,2731-8818. - Innovations in sustainable technologies and computing..

Data Analysis in the Water and Environment -- Python Environment and Basics -- Python Essentials -- Exploratory Analysis of Hydrological Data -- Graphical Hydrological Data Analysis -- Curve Fitting and Regression Analysis -- Hydrological Time Series Analysis -- Common Hypothesis Testing -- Uncertainty Estimation -- Introduction -- Surface Flow Models -- Subsurface Flow Models -- Transport Phenomena -- Contaminant Transport Models -- Conclusion.

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.

ISBN: 9789819994083$q(electronic bk.)

Standard No.: 10.1007/978-981-99-9408-3doiSubjects--Topical Terms:

307641
Hydrology
--Computer simulation.

LC Class. No.: GB656.2.C63

Dewey Class. No.: 551.480285

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520 $a 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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