Pandas is a data analysis and data engineering library that is very popular in the scientific Python ecosystem. The ArcGIS API for Python adds spatial capabilities to these DataFrames using an elegant accessor model. With these DataFrames, you can not only manipulate your tabular data, but also apply spatial algorithms and tools. This talk takes you from the basics of Pandas / NumPy to the full suite of functions available with SeDF, including visualizing data on a map and persisting the DataFrames as files and web layers.