I'm pretty sure GP was complaining about the lack of libraries and the breaking changes between verions. Julia is much younger, has a smaller community and still in active development as a language, so it is very likely that you have to build and maintain your own code.
With SciPy, the community is much bigger and present in every imaginable scientific field. Whenever someone comes up with a new algorithm, there's a python implementation before you know it. I'm not going to pretend that this isn't a huge added value, but I find the way GP phrased themselves a little bit annoying, as it implies the language Julia is is the issue. It is honestly a more beautiful and more efficient language to program in.
(also, these days you can call out to Python and R without significant overhead, so you can use any package out there; Julia has a pretty good interop story)
With SciPy, the community is much bigger and present in every imaginable scientific field. Whenever someone comes up with a new algorithm, there's a python implementation before you know it. I'm not going to pretend that this isn't a huge added value, but I find the way GP phrased themselves a little bit annoying, as it implies the language Julia is is the issue. It is honestly a more beautiful and more efficient language to program in.
(also, these days you can call out to Python and R without significant overhead, so you can use any package out there; Julia has a pretty good interop story)
https://github.com/JuliaPy
https://github.com/JuliaInterop