03486nam a22005775i 4500 978-981-99-9408-3 DE-He213 20251030111506.0 cr nn 008mamaa 240308s2024 si | s |||| 0|eng d 9789819994083 978-981-99-9408-3 10.1007/978-981-99-9408-3 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Kumar, Anil. author. aut http://id.loc.gov/vocabulary/relators/aut 72632 Python for Water and Environment [electronic resource] / by Anil Kumar, Manabendra Saharia. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIX, 288 p. 92 illus., 89 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Innovations in Sustainable Technologies and Computing, 2731-8818 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. Computational intelligence. 64052 Python (Computer program language). 64608 Quantitative research. Environmental education. 71158 Computational Intelligence. 64052 Python. 47553 Data Analysis and Big Data. Environmental and Sustainability Education. 71159 Saharia, Manabendra. author. aut http://id.loc.gov/vocabulary/relators/aut 72633 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819994076 Printed edition: 9789819994090 Printed edition: 9789819994106 Innovations in Sustainable Technologies and Computing, 2731-8818 66591 https://doi.org/10.1007/978-981-99-9408-3 ZDB-2-INR ZDB-2-SXIT 58182 58182