The Python ecosystem provides a nice set of tools for working with geospatial vector data, including Shapely and GeoPandas. Efforts are popping up to improve the performance and scalability of those workflows, such as dask-geopandas and spatialpandas. This workshop will give an overview of work by the community, and foster discussion on improvements and interoperability between the libraries.