Comment on Which language you wish would really grow and reach mainstream adoption?
Hawk@lemmynsfw.com 1 year agoI personally find multiple dispatch far more challenging to use than OOP. I’d reach for Torch over Flux any day.
Although, I really like that the majority of the Flux stack is Julia rather than a collection of Cpp.
tatterdemalion@programming.dev 1 year ago
What do you find challenging about multiple dispatch? I don’t use Julia for my job, so I can’t say I’ve had enough experience to have a strong opinion. MD seems like a valuable tool though.
Hawk@lemmynsfw.com 1 year ago
Simply, the lsp is far less useful. An object might have a dozen methods that act like verbs or some attributes that act as adjectives.
In Julia there is a huge number of functions, that work differently for different types and different combinations of types. So finding the documentation involves finding the right name for a function that does different things for different types, then scrolling down the docs for the the behaviour that corresponds to the specific combination of inputs.
I moved from R/Py to Julia for a while before moving back to Py (and a little bit of Rust).
I love how fast Julia is and the 1-index is fine for me, but I still prefer py for the oop.
tatterdemalion@programming.dev 1 year ago
So there’s no LSP function to just show all of the multi-methods that accept a specific type? That’s a pretty serious tooling limitation.
Maybe Julia sounds better in theory than in practice, if the tooling still isn’t ready for production use.
Hawk@lemmynsfw.com 1 year ago
Well it’s there, in one loooong print out. It’s not as bad as I’m making it out to be, however, I went back to python unfortunately.
The crucial issue with Julia, no error messages.
So I use Julia for things that need to be fast (e.g. moving hdf5 to SQL and ffts) but I use python for everything else (except ggplot).