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Assume mainstream adoption as used by around 7% of all github projects

Personally, I'd like to see Nim get that growth.

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[-] Hawk@lemmynsfw.com 2 points 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 2 points 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 2 points 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).

this post was submitted on 01 Nov 2023
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