Python for Geospatial
Position yourself by learning to program and unlock the potential of geospatial scripting and programming with Python. Move beyond the out-of-the-box capabilities of desktop GIS by learning to automate GIS processes, create custom/shareable tools and scripts, synthesize data and apply geoprocessing in ways that reduce manual overhead and help iterate and generate new insights quickly. Following our focus onPython, dive into Geopandas and other useful data and geospatial Python libraries for data science/data carpentry (pandas), interacting with API's for applications such as geocoding (geopy) and data retrieval (US Census API) and creating mapping applications and visualizations.