Python is highly versatile and has a rich ecosystem of libraries for data analysis, machine learning, and scientific computing, such as NumPy, Pandas, and SciPy.
It integrates well with Geographic Information Systems (GIS) through libraries like GeoPandas and Shapely, which are crucial for spatial data analysis.
Python Is the most versatile language, widely used in hydrology and water sciences, and has excellent libraries for data analysis and AI-related tasks ¹. Its ease of use and flexibility make it perfect for researchers.