This is my submission to Stackoverflow challenge #11: Taco crawl optimization

https://stackoverflow.com/beta/challenges/79785895/code-challenge-11-taco-crawl-optimization

The goal of the challenge is to visit up to 8 out of 10 taco spot (starting at position (0, 0), while optimizing to have the best "tastiness score" and travelling the less distance

The tacos data are given in the file tacos_data.csv

The code is done using Python 3.13.7. To execute, simply run main.py. dataclasses-json library is needed.