Geospatial libraries for Python

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Geospatial libraries for Python

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Last edited Apr 1, 2016

Created on Oct 25, 2015

This example presents a curated overview of geospatial libraries for Python, organized by their primary function, such as data analysis, API clients, visualization, and map-based toolkits. The list is presented in plain Markdown, linking to projects like GeoPandas, Shapely, Folium, and Mapnik, with each category clearly labeled. The visualization is a simple textual reference guide, showing the ecosystem of available tools, rather than a graphical chart or map.

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