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Mapping Iconic NYC Sandwiches with AI: scrapping, geocoding, and sharing a map of the NYT Top 57 Sandwiches

March 26 @ 2:00 pm - 3:00 pm

Virtual Event Virtual Event
Free

Sandwiches are my passion. When the New York Times unveiled its list of 57 sandwiches that define New York City, I wanted to try them all. The problem: the NYT list only provides sandwich names and restaurant addresses. Determining if I’m near an iconic sandwich requires scrolling, reading, and flipping between the list and Google Maps. The solution: I need a sandwich map!

In this workshop, rather than just traditional coding, we’ll use a large language model (LLM) as a pair programming partner to help us tackle challenges, offer suggestions, and streamline the development process. By the end, you’ll know how to combine basic Python coding with web scraping, Google Maps, and GitHub Pages.

Details

Date:
March 26
Time:
2:00 pm - 3:00 pm
Cost:
Free
Event Category:
Event Tags:
, , ,

Organizer

Daniel DeWitz

Other

Pre-requisites
Attendees should know a little bit of Python (beginner and above) and like to build fun things to share with their friends. I will provide a Jupyter notebook; attendees are welcome to code along or listen! Folks should leave with a basic understanding of how web scrapping and the Google Maps API work.
Public Dataset(s)
57 Sandwiches That Define New York City
Event Materials
https://github.com/dan-dewitz/Mapping-Iconic-NYC-Sandwiches

General Admission

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