How to optimize the for loop for finding a matching 2 string using fuzzywuzzy

Question

I am getting the probability of a string being similar to another string in Python using fuzzywuzzy lib.

Currently, I am doing this using a for loop and the search is time consuming.

Below is working code :

from fuzzywuzzy import fuzz

with open('all_nut_data.csv', newline='') as csvfile:
   spamwriter = csv.DictReader(csvfile)
   mostsimilarcs = 0
   mostsimilarns = 0
   for rowdata in spamwriter:
       mostsimilarns = fuzz.ratio(rowdata["Food Item"].lower(), name.lower())
       if mostsimilarns > mostsimilarcs:
           mostsimilarcs = mostsimilarns
           row1 = rowdata

How I can optimize this code without for loop?

Note* CSV file contain 600,000 rows and 17 column