Summary

For anyone working with Python on the Esri platform, the ArcGIS API for Python is one of the most exciting things to come along in quite a few years. The API is well-structured, easy to set up, and even easier to use. By abstracting away much of the overhead typically involved in working with the REST API, the ArcGIS API for Python allows you to get more done with less code in less time. In this chapter, we looked at how to get set up to use the API. We also wrote code to change map service URLs and create a web map inventory. We scratched the surface of the pandas library, showing how to use DataFrames, one of the most prevalent data structures in pandas, to not only display data in a Jupyter Notebook but also how to use DataFrames as methods to move data into the GIS. Next, we looked at ways to interrogate users and groups in the GIS and methods to work with and manage them. Finally, we looked at how the ArcGIS API for Python lets us work with features and how easy it is to translate...