Geospatial data processing has emerged as a crucial part of Geographic Information Systems (GIS), remote sensing processes, environmental controls, urban development, and satellite imagery analytics. As geospatial datasets become more complex and larger, Python libraries offer great solutions to handle, process, and analyze raster data.