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

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Author/Creator:
Anil Kumar.
Contributor:
Saharia, Manabendra.
Series:
Innovations in Sustainable Technologies and Computing, 2731-8818
Language:
English
Subjects (All):
Computational intelligence.
Python (Computer program language).
Quantitative research.
Environmental education.
Computational Intelligence.
Python.
Data Analysis and Big Data.
Environmental and Sustainability Education.
Local Subjects:
Computational Intelligence.
Python.
Data Analysis and Big Data.
Environmental and Sustainability Education.
Physical Description:
1 online resource (293 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9994-08-X
OCLC:
1426023381

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