No classes, weak typing despite having multiple dispatch, 1-based indexing, no real DL libraries with comparable baseline to pytorch/weight portability
There are no reasons to not use it if you like gesturing from a distance
No classes - thank the lord. This was a 30 year experiment that failed. Parametric polymorphism is the way and the light.
>weak typing despite having multiple dispatch
I'm struggling to understand, do you mean that it doesn't have type safety? Could you explain a bit?
1-based indexing - I don't care about...
the "no DL libraries" and the community effects around having weight portability is significant I think. I need to spend more time with Transformers.jl.
It isn't weakly typed, it has strong, dynamic typing. GP is either confusing weak typing with dynamic typing or making some other kind of error. To demonstrate, in contrast to say perl, try `1+"1"` in Julia. It'll happily error out for you instead of coercing that string into a number to perform arithmetic with.
I thought more or less the same. Sometimes people think strong typing is type safety. Weak/strong typing is a very confusing concept now, I think dynamic / static is a much clearer division.
Personally I have had a lot of value using the Julia type system for runtime inference in programs, I love it!
There are no reasons to not use it if you like gesturing from a distance