I'm an atmospheric science student at the University of Utah who uses python for data processing and visualization.The web app Argovis provides data access and visualization. The Argo program has provided temperature, salinity and pressure data (T/S/P) on a global scale. This tutorial aims to correct that notion by showing attendees how to generate polished data visualizations by teaching them how to exploit the functionality provided by various matplotlib libraries, such as color, ticker, cm, axes, and basemap/cartopy and modify the visualizations. When many people hear of matplotlib, they think rudimentary graphs that will need to be touched up in photoshop.Cartopy is a Python package designed for geospatial data processing in order to Key features of cartopy are its object oriented projection definitions, and its ability to transform points.