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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 challenges. Gain insights into data analysis, visualization, and the practical application of programming skills to potentially save lives in areas prone to natural disasters.