Binary encoding and its interpretation in Python

Question

I have a column named Street that has 2 values: Paved and Gravel. Here is what print(train[binary_columns[0]].unique().tolist()) gives me:

['Pave', 'Grvl']

I want to encode these values in binary like this:

df['Street'] = df['Street'].replace(['Pave', 'Grvl'], [1, 0])

But I wonder if this is a good idea. Wouldn't the computer interpret this as Pave > Grvl? How does the computer differentiate between binary and integer encoding?