Python for Water and Environment

This textbook delves into the practical applications of surface and groundwater hydrology, as well as the environment. The Part I, "e;Practical Python for a Water and Environment Professional,"e; guides readers through setting up a scientific computing environment and conducting exploratory data analysis and visualization using reproducible workflows. The Part II, "e;Statistical Modeling in Hydrology,"e; covers regression models, time series analysis, and common hypothesis testing. The Part III, "e;Surface and Subsurface Water,"e; illustrates the use of Python in understanding key concepts related to seepage, groundwater, and surface water flows. Lastly, the Part IV, "e;Environmental Applications,"e; demonstrates the application of Python in the study of various contaminant transport phenomena.