jonemo jonasneubert.com/talks switch to Jupyter Notebook The primary (technical) content of this presentation was presented by stepping through a Jupyter Notebook. You can download a copy of the Notebook from this Github repo: https://github.com/jonemo/extreme-bikesharing-slc The following slides are screenshots of select cells from the Jupyter Notebook that are only included in the published version of these slides.
jonemo jonasneubert.com/talks return from Jupyter Notebook After the excursion to the Jupyter Notebook for the main content of the presentation, the slides resume here for the trip report.
jonemo jonasneubert.com/talks East Bay Stats Estimated time from start to finish: 12 hrs 48 min Actual time from start to finish: 13 hrs 2 min Total bicycle rental time: 6 hrs 43 min Total time between rentals: 6 hrs 5 min Distance: ~90km Stations checked in at: 121 Stopped at but not checked in: 1 Stations missed: 2 ----- Total number of stations in East Bay: 124
jonemo jonasneubert.com/talks PyPI packages used: - notebook - folium - gbfs-client see also: https://gbfs.mobilitydata.org - mapbox see also: https://docs.mapbox.com/ - ortools see also: https://developers.google.com/optimization/ - geopy (for distance calculation) Wikipedia about Bikesharing - https://en.wikipedia.org/wiki/Bicycle-sharing_system - https://en.wikipedia.org/wiki/List_of_bicycle-sharing_systems Image Sources: Slidedeck icon created by Musavvir Ahmed from Nounproject Docked bicycles in Gothenburg, Sweden, by W. Bulach via Wikimedia Commons (CC BY-SA 4.0) A dockless bike from Mobike, by MNXANL via Wikimedia Commons (CC BY-SA 4.0) A station of EnCicla in Medellin, by Bertahan Luxing via Flickr (CC BY 2.0) BicikeLJ in Ljubljana, Slovenia, by Petar Milošević via Wikimedia Commons (CC BY-SA 4.0)
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