Unlock the Power of Location Data with Python | PyData Vermont 2025

Discover practical techniques to harness geospatial data using Python. Learn how to visualize, analyze, and leverage location data effectively. Don't miss this essential guide to spatial data mastery! 🌍

Unlock the Power of Location Data with Python | PyData Vermont 2025
PyData
96 views • Nov 14, 2025
Unlock the Power of Location Data with Python | PyData Vermont 2025

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www.pydata.org

Do you know where your data is? It's time to unlock the real power of location with Python. This talk is your practical guide to the open geospatial ecosystem, designed for data practitioners who are ready to turn location data into meaningful insights.

We'll cover the end-to-end workflow: from acquiring open data to performing powerful spatial joins and creating compelling maps. You will learn to use core libraries like GeoPandas and Shapely, and finally demystify one of the trickiest parts of geospatial work: coordinate reference systems.

This session is for data scientists, analysts, and engineers familiar with pandas who want to add a powerful new dimension to their work. You’ll leave with a clear, actionable roadmap for integrating geospatial analysis into your projects.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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Video Information

Views

96

Likes

1

Duration

0:50

Published

Nov 14, 2025

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