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010   $a981-9994-08-X
024 7 $a10.1007/978-981-99-9408-3
035   $a(MiAaPQ)EBC31206148
035   $a(Au-PeEL)EBL31206148
035   $a(DE-He213)978-981-99-9408-3
035   $a(CKB)30815021900041
035   $a(EXLCZ)9930815021900041
100   $a20240308d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPython for Water and Environment /$fby Anil Kumar, Manabendra Saharia
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (293 pages)
225 1 $aInnovations in Sustainable Technologies and Computing,$x2731-8818
311 08$a981-9994-07-1 
327   $aData 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.
330   $aThis textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "Practical Python for a Water and Environment Professional," guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "Statistical Modeling in Hydrology," covers regression models, time series analysis, and common hypothesis testing. The Part III, "Surface and Subsurface Water," illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "Environmental Applications," demonstrates the application of Python in the study of various contaminant transport phenomena.
410  0$aInnovations in Sustainable Technologies and Computing,$x2731-8818
606   $aComputational intelligence
606   $aPython (Computer program language)
606   $aQuantitative research
606   $aEnvironmental education
606   $aComputational Intelligence
606   $aPython
606   $aData Analysis and Big Data
606   $aEnvironmental and Sustainability Education
615  0$aComputational intelligence.
615  0$aPython (Computer program language)
615  0$aQuantitative research.
615  0$aEnvironmental education.
615 14$aComputational Intelligence.
615 24$aPython.
615 24$aData Analysis and Big Data.
615 24$aEnvironmental and Sustainability Education.
676   $a006.3
700   $aAnil Kumar$01151113
701   $aSaharia$b Manabendra$01732917
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910842492703321
996   $aPython for Water and Environment$94465303
997   $aUNINA