One of the greatest skills you can have when working on any analytical problem is being able to develop an abstract or idealized workflow for how to go about creating a solution. Often, we get caught up on jumping straight into a solution without thought of creating a plan. This can backfire when we learn we do not fully understand the way a function, method, package, or programming technique works. Geospatial analytics involves processing and analyzing spatial data to extract meaningful patterns, trends, and insights about the physical world. Whether you are working with satellite imagery, spatial databases, or local shapefiles, programming plays a critical role in automating workflows and performing complex