I've always admired Tesla's cars. The design, the technology, commitment to the environment. It's all great. I live in a city, and park on the street and will likely not drive one (at least for some time). Even so, I was curious about something.
Tesla provides the Supercharger stations, allowing owners of Tesla vehicles to refuel for free (?). I wanted to see if these were placed close enough that one could reasonably rely on them for travel.
The minimum range for a Tesla is 215 miles on a charge for the Model 3. Using this as my metric, I used Requests, BeautifulSoup, and GeoPy to figure this out.
I grabbed the Tesla Supercharger lists page with Requests. I then pulled each of the address sections out using BeautifulSoup. Finally, I used GeoPy to convert the addresses to geographic coordinates. This was the only part that caused me any issues. Different geocoding services differ in their knowledge base (Google was the best in my experience). Also, some of the addresses were loose (ex. Mile Marker X on 95) and wouldn't return a coordinate pair.
With all of this information, it was pretty trivial to calculate.
I could probably optimize the pair generation a bit. But the volume of data here was so small that it didn't even seem worth it.