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 like Xarray, Geopandas, Folium and Plotly, you will engage with real-world datasets 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.