Now that the function works, we can put it to work using any address, or an array of addresses using loops. For that, addresses could be copied and pasted into Jupyter, but that is not a sustainable solution. Most of the time, our data is stored somewhere in a database or a file. Let's learn how to read addresses from a file and store the results to another file.

CSV is a popular text-based format for tabular data, where each line represents a row and cells are separated by separator symbols—usually commas, but it could be a semicolon or a pipe. Cells containing separator or newline symbols are usually "escaped" using quotes. This format is not the most efficient, but it is widespread and easy to read using any text editor.

Python has a built-in library for dealing with .csv files—it is called csv. It has two ways to parse...