DataFrames are an exceedingly popular coding pattern for working with data in Python.  In this session, we’ll cover what data frames are and why they are important to spatial data science workflows, then dive into several different types of data frames and the interoperability between them (NumPy & Pandas, PySpark DataFrame, Spatially Enabled DataFrame, ArcPy, GeoPandas, ArrowTable, etc.)