Raymond Hettinger - Dataclasses: The code generator to end all code generators - PyCon 2018
Why Hacker News recommends it
HN commenters recommend it as an approachable talk from a respected Python core developer on dataclasses.
What it is
Raymond Hettinger explains Python's dataclasses module, showing the problem it solves and its key design decisions. He places it in a progression from tuples and dicts through named tuples and attrs.
Recommended by 2 HN commenters across 2 different months, 2018 to 2021.
What Hacker News said
Recommends sn9 · 2018-12 · on “Ask HN: Best talks of 2018?”
Some of my favorite talks from Strange Loop: * Contracts For Getting More Programs Less Wrong: [LINK] * "It's Just Matrix Multiplication": Notation for Weaving: [LINK] * Hackett: a metaprogrammable Haskell: [LINK] * Git from the Ground Up: [LINK] From PyCon: * Beyond Unit Tests: Taking Your Testing to the Next Level: [LINK] * Dataclasses: The code generator to end all code generator: [this video] * Automating Code Quality: [LINK] There are probably more I might add later as I remember them.
Recommends kzrdude · 2021-05 · on “Writing Pythonic Rust”
Raymond Hettinger's talks are great. I know it's not a succint blog post, but they are out there are watching a video is very approachable. Maybe [this video] (Dataclasses! We could cheekily say Python gets better at something Rust does - dataclasses makes Python better at records.) And [LINK] This talk (2013): [LINK] Unfortunately this video is now a bit out of touch with modern Python. Another (2013) classic: [LINK] it is very well known, and it has the very memorable advice: what's a class that only has one method? That should be a function!
Cites lunchladydoris · 2018-05 · on “Guide to Data Classes in Python 3.7”
I haven't watched it yet but I saw that Raymond Hettinger presented on data classes at PyCon last week [0]. [0]: [this video]
Cites neuland · 2018-05 · on “Guide to Data Classes in Python 3.7”
The standard library is not going to have more advanced features than what the community can do, if only because of the release cycle. Meanwhile, I was not a user of attrs before, rather I used collections.namedtuple and then typing.NamedTuple. So, data classes is a win for me and other people like me who weren't using attrs. And you can continue to use attrs without being bothered at all. In Raymond Hettinger's talk [0] at PyCon 2018, he even says that more features from attrs will likely get added, such as data validation [1]. And that his talk was the one chance for the developer (Eric Smith) to get praise, because everyone is going to instantly second guess every decision he made. [0] [V