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Python for Water and Environment / / by Anil Kumar, Manabendra Saharia



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Autore: Anil Kumar Visualizza persona
Titolo: Python for Water and Environment / / by Anil Kumar, Manabendra Saharia Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (293 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Python (Computer program language)
Quantitative research
Environmental education
Computational Intelligence
Python
Data Analysis and Big Data
Environmental and Sustainability Education
Altri autori: SahariaManabendra  
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Python for Water and Environment  Visualizza cluster
ISBN: 981-9994-08-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910842492703321
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Serie: Innovations in Sustainable Technologies and Computing, . 2731-8818