Kyle Barron
Kyle is a software engineer at Development Seed where he builds open source tools and infrastructure that process and visualize geospatial data. He has expertise in cloud-native geospatial vector data formats, speeding up Python and JavaScript applications from Rust, spatial indexes, and efficient data pipelines. Kyle holds a B.A. in Economics, minoring in Mathematics from the University of California, Los Angeles which he earned in 2017.
Kyle previously worked as a software engineer at Unfolded and then Foursquare, building browser-based geospatial data visualizations on the web for vector and raster data.
Session
Lonboard is a new Python library for geospatial vector data visualization that can be 50x faster than existing alternatives like ipyleaflet
or pydeck
. This talk will explain why this library is so fast, how it integrates into existing workflows, and planned future improvements.