If I'm a person who wants to do some data science or whatever and I have very little software background I want there to be libraries that do basically everything I ever want to do and those libraries need to be very easy to support. I want to be able to Google every single error message I ever see, no matter how trivial or language specific, and find a reasonable explanation. I also want the environment to work more or less out of the box (admittedly, python has botched this one since so many machines now have a python2 and a python3 install).
Julia punches well above it's weight in libraries, especially for datascience and has the best online community I've ever been a part of. Googling an error in julia definitely won't give you nearly as many StackOverflow hits, but the community Discourse, Slack and Zulip channels are amazingly responsive and helpful.
I think a big advantage of Julia is that it has a unusually high ratio of domain experts to newbies, and those domain experts are very helpful caring people. It's quite easy to get tailored, detailed personalized help from someone.
This advantage will probably fade as the community grows, but at least for now, it's fantastic.
If I'm a person who wants to do some data science or whatever and I have very little software background I want there to be libraries that do basically everything I ever want to do and those libraries need to be very easy to support. I want to be able to Google every single error message I ever see, no matter how trivial or language specific, and find a reasonable explanation. I also want the environment to work more or less out of the box (admittedly, python has botched this one since so many machines now have a python2 and a python3 install).