Raymond Hettinger - Dataclasses: The code generator to end all code generators - PyCon 2018

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!

in “Writing Pythonic Rust” · View on HN

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.

in “Ask HN: Best talks of 2018?” · View on HN

I haven't watched it yet but I saw that Raymond Hettinger presented on data classes at PyCon last week [0]. [0]: ▶ this video

in “Guide to Data Classes in Python 3.7” · View on HN

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] ▶ this video [1] see 42:36 on future directions

in “Guide to Data Classes in Python 3.7” · View on HN