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024 7 _a10.1007/978-981-99-9408-3
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072 7 _aCOM004000
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100 1 _aKumar, Anil.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972632
245 1 0 _aPython for Water and Environment
_h[electronic resource] /
_cby Anil Kumar, Manabendra Saharia.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXIX, 288 p. 92 illus., 89 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aInnovations in Sustainable Technologies and Computing,
_x2731-8818
505 0 _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.
520 _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.
650 0 _aComputational intelligence.
_964052
650 0 _aPython (Computer program language).
_964608
650 0 _aQuantitative research.
650 0 _aEnvironmental education.
_971158
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aPython.
_947553
650 2 4 _aData Analysis and Big Data.
650 2 4 _aEnvironmental and Sustainability Education.
_971159
700 1 _aSaharia, Manabendra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972633
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789819994090
776 0 8 _iPrinted edition:
_z9789819994106
830 0 _aInnovations in Sustainable Technologies and Computing,
_x2731-8818
_966591
856 4 0 _uhttps://doi.org/10.1007/978-981-99-9408-3
912 _aZDB-2-INR
912 _aZDB-2-SXIT
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