Advent of Code - adventofcode.com

I did almost the exact same thing but with Pandas dataframes instead, now I've changed it to lists it runs in barely a second. If you only have a hammer...

I also looked into breaking from nested loops but it wasn't trivial so I decided not to bother. But reading again the highest voted answer to this question has a solution.

import pandas as pd
from datetime import datetime

starttime = datetime.now()
print(starttime)
input_df = pd.read_csv("day1_input.csv", header=None)
\#part1
for index1, row in input_df.iterrows():
    for index2, row in input_df.iterrows():
        if row[0] + input_df[0][index1]  == 2020 :
            print(row[0] * input_df[0][index1])
            finishtime = datetime.now()
            print(finishtime)

\#part2
for index1, row in input_df.iterrows():
    for index2, row in input_df.iterrows():
        for index3, row in input_df.iterrows():
            if row[0] + input_df[0][index1] + input_df[0][index2]  == 2020 :
                print(row[0] * input_df[0][index1]* input_df[0][index2])
                finishtime = datetime.now()
                print(finishtime)