Explore how Python is used to assess landslide risk in Southeast Alaska in this 39-minute PyCon US talk. Learn about the correlation between river levels and landslide activity, and how historical data analysis led to the development of a community-used landslide-risk monitoring tool. Discover the process of transforming a citizen-scientist idea into a public resource, showcasing Python's versatility in addressing critical environmental issues. Gain insights into the application of data analysis for potentially life-saving predictions in regions experiencing increased landslide frequency due to shifting rainfall patterns.