Loop through DataFrame rows in python pandas

import pandas as pd

df = pd.DataFrame({
    'column_1': ['John', 'Eric', 'Rick'],
    'column_2': [100, 110, 120]
})

for index, row in df.iterrows():
    print(row['column_1'], row['column_2'])

#prints
# John 100
# Eric 110
# Rick 120