Spatial Analytics with Python 🌎 + Lightning Talks ⚡️

The Story

Join us on **October 27th at 6:30 PM** for an evening exploring **geospatial data science with Python**, featuring Brendan Collins, Founder & CTO at Makepath and creator of Xarray-Spatial along with a round of lightning talks from the community! Please bring your 💻 to follow along and sign up using your official government-issued name. 🍕 Pizza & drinks will be provided - Thank you, Makepath! **Agenda** **🌎 xarray-spatial: In and Out of the Raster-verse** **Speaker: Brendan Collins (Founder & CTO at Makepath)** Spatial data comes in many shapes and sizes, but some of the most powerful spatial analysis techniques begin by viewing the world as a grid. Led by the library's creator and maintainer, this talk introduces [Xarray-Spatial](https://github.com/xarray-contrib/xarray-spatial), an open-source Python library for scalable raster analysis with CPU and GPU acceleration. We'll learn how to **enter the Raster-verse** by bringing spatial data into Xarray, **explore the Raster-verse** using algorithms for terrain analysis, hydrology, proximity, and more, and **escape the Raster-verse** through techniques like zonal statistics and polygonization. Finally, we'll discuss **contributing to the Raster-verse**, sharing lessons from maintaining Xarray-Spatial and how AI-augmented development is transforming open-source contributions, code quality, and scientific software engineering. Whether you're a GIS practitioner, data scientist, or Python developer, you'll leave with practical ideas for working with spatial data and contributing to open source. **👨‍💻 About the Speaker** **Brendan Collins** is the Founder and CTO of Makepath, where he helps early-stage startups and Fortune 500 engineering teams realize their product ambitions. A former employee of Anaconda, Brendan has spent the past decade applying PyData technologies, including NumPy, Xarray, and Numba, to engineering challenges across the public, private, and nonprofit sectors. When not writing in the third p

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