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#495: OSMnx: Python and OpenStreetMap

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Manage episode 468284039 series 83399
Content provided by Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
On this episode, I'm joined by Dr. Geoff Boeing, an assistant professor at the University of Southern California whose research spans urban planning, spatial analysis, and data science. We explore why OpenStreetMap is such a powerful source of global map data—and how Geoff's Python library, OSMnx, makes that data easier to download, model, and visualize. Along the way, we talk about what shapes city streets around the world, how urban design influences everything from daily commutes to disaster resilience, and why turning open data into accessible tools can open up completely new ways of understanding our cities. If you've ever wondered how to build or analyze your own digital maps in Python, or what it takes to manage a project that transforms raw geographic data into meaningful research, you won't want to miss this conversation.
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Python in Production
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Links from the show

City Street Orientations World: geoffboeing.com
OSMnx Documentation: readthedocs.io
OSMnx GitHub: github.com
OpenStreetMap: openstreetmap.org
Open Database License: opendatacommons.org
ID Editor (Web Editor): wiki.openstreetmap.org
Planet OSM: planet.openstreetmap.org
Overpass API: wiki.openstreetmap.org
GeoPandas: geopandas.org
NetworkX: networkx.org
Shapely: shapely.readthedocs.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
  continue reading

543 episodes

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#495: OSMnx: Python and OpenStreetMap

Talk Python To Me

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Manage episode 468284039 series 83399
Content provided by Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
On this episode, I'm joined by Dr. Geoff Boeing, an assistant professor at the University of Southern California whose research spans urban planning, spatial analysis, and data science. We explore why OpenStreetMap is such a powerful source of global map data—and how Geoff's Python library, OSMnx, makes that data easier to download, model, and visualize. Along the way, we talk about what shapes city streets around the world, how urban design influences everything from daily commutes to disaster resilience, and why turning open data into accessible tools can open up completely new ways of understanding our cities. If you've ever wondered how to build or analyze your own digital maps in Python, or what it takes to manage a project that transforms raw geographic data into meaningful research, you won't want to miss this conversation.
Episode sponsors
Posit
Python in Production
Talk Python Courses

Links from the show

City Street Orientations World: geoffboeing.com
OSMnx Documentation: readthedocs.io
OSMnx GitHub: github.com
OpenStreetMap: openstreetmap.org
Open Database License: opendatacommons.org
ID Editor (Web Editor): wiki.openstreetmap.org
Planet OSM: planet.openstreetmap.org
Overpass API: wiki.openstreetmap.org
GeoPandas: geopandas.org
NetworkX: networkx.org
Shapely: shapely.readthedocs.io
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
  continue reading

543 episodes

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