I'm with you; since dataclasses were introduced, namedtuple has not see
any use from me, though none of my uses have demanded ultra-high
efficiency either.

I wonder how many users are currently relying on namedtuple __getitem__
semantics though. that's functionality dataclasses do not (currently)
have.

Random thought I don't know the answer to: Any reason __slots__ can't
be used on a dataclass to improve efficiency?


On Wed, 2021-07-28 at 22:22 +0000, pa...@lexyr.com wrote:
> [Migrating the discussion from https://bugs.python.org/issue44768.]
> 
> PEP 20 says:
> 
> > There should be one-- and preferably only one --obvious way to do
> > it.
> 
> There are two ways to create a simple named type to store data:
> collections.namedtuple and dataclasses.dataclass. I propose
> deprecating namedtuple.
> 
> As far as the interface is concerned, the namedtuple is almost
> completely equivalent to a frozen dataclass - with some iterability
> syntactic sugar thrown in. I don't think there are use cases for
> namedtuple that would not be trivial to rewrite with dataclasses.
> 
> As far as the implementation is concerned, the namedtuple is faster.
> If efficiency is a concern, why do we make our users decide? We can
> choose the most efficient one on the library's end. C++ does
> something similar with bool vectors - the library has a special case
> for where it would be more optimal to use a different data structure
> underneath.
> 
> 
> TL;DR: If dataclass is so good, why keep namedtuple around?
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