Since 3.7 it may be that dataclasses offer a cleaner implementation of the functionality you suggest. It shouldn't be too difficult to produce code that uses dataclasses in 3.7+ but falls back to namedtuples when necessary. You may wish to consider such an implementation strategy.
Best wishes, Steve Holden On Tue, Oct 29, 2019 at 10:59 PM Oz Tiram <oz.ti...@gmail.com> wrote: > Hello Python-devs, > > The csv module is probably heavily utilized by newcomers to Python, being > a very popular data exchange format. > Although, there are better tools for processing tabular data like SQLite, > or Pandas, I suspect this is still a very popular > module. > There are many examples floating around how one can read and process CSV > with the csv module. > Quite a few tutorials show how to use namedtuple to gain memory saving and > speed, over the DictReader. > Python's own documentation has got a recipe in the collections modules[1] > Hence, I was wondering why not go the extra step and add a new class to > the CSV module NamedTupleReader? > This class would do a good service for Python's users, especially > newcomers who are still not aware of > modules like the collections module. > Would someone be willing to sponsor and review such a PR from me? > As a smaller change, we could simply add a link from the CSV module's > documentation to the recipe in the collections module. > What do you think? > > Best regards > Oz > > [1]: > https://docs.python.org/3/library/collections.html?highlight=namedtuple%20csv#collections.namedtuple > > --- > Imagine there's no countries > it isn't hard to do > Nothing to kill or die for > And no religion too > Imagine all the people > Living life in peace > > _______________________________________________ > Python-Dev mailing list -- python-dev@python.org > To unsubscribe send an email to python-dev-le...@python.org > https://mail.python.org/mailman3/lists/python-dev.python.org/ > Message archived at > https://mail.python.org/archives/list/python-dev@python.org/message/GRPUTYZOPWTTU532CKZOHCTRSHNFKE2M/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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