Refactoring a .csv DictReader as a dataclass reader

When we read data from a CSV format file, the csv module offers two general choices for the kind of reader to create:

• When we use csv.reader(), each row becomes a list of column values.
• When we use csv.DictReader, each row becomes a dictionary. By default, the contents of the first row become the keys for the row dictionary. An alternative is to provide a list of values that will be used as the keys.

In both cases, referring to data within the row is awkward because it involves rather complex-looking syntax. When we use the csv.reader() function, we must use syntax like row[2] to refer to a cell; the semantics of index 2 are completely obscure.

When we use csv.DictReader, we can use row['date'], which is less obscure, but this is still a lot of extra syntax. While this has a number of advantages, it requires a CSV with a single-row header of unique column names, which is something...