General purpose language, but definitely a focus on numerical computing. "Flexibility of Python with the speed of C" is the slogan. Functions are JIT compiled with the capacity to introspect into the assembly-like code, benchmark, check memory allocations and type uncertainty.

Personal take on multithreading/multi core /GPU processing - its 🤌(chef's kiss) (**with the caveat that the DL ecosystem is not as mature)

To top it off, you can even call Python libraries from Julia. Meaning - do your high performance stuff in Julia and call Python for any plotting or other statistical functions you'd rather not write yourself.