In this talk, we will delve into the use of Python for geospatial analysis to explore climate indexes on Italy and Finland. Utilizing popular Python libraries such as Xarray, GeoPandas, Cartopy, and Plotly, you will engage with real-world datasets from the Copernicus Climate Data Store through practical exercises. The session will cover data manipulation, visualization, and analysis techniques to identify significant climate trends and anomalies. By the end, you will have a clearer understanding of how Python tools can be employed to analyze environmental data effectively.

A Jupyter notebook will be shared during the talk so participants can follow along and try out the code themselves. Since we cannot guarantee fast access to the Copernicus system during the session, we recommend that participants who wish to actively take part, download the data in advance from the following link: tinyurl.com/pycon-climatetrip