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 Pandas DataFrames via the Spatially Enabled DataFrame (SeDF). With the SeDF, 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 the SeDF, including visualizing data on a map and persisting the DataFrames as GIS files and web layers.