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.tiram@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%20cs...
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