Given the number of Julia-related posts on the front page in the recent past, I doubt there is a need for a post linking to the generic home page for the language. That said, it would definitely be interesting discuss something unique or specifically interesting.
One thing I've wondered about: I see it frequently written that someone new to Julia sits down and write an algorithm, and despite that language's marketing, the code runs at a fraction of C++ speeds. Eventually, the code gets a speedup only after significant and non-obvious tuning that requires a lot of Julia experience. That concerns me that this would be the common scenario, and I see this written often in articles, blog posts, forums, etc. It's the one point that has turned me off of diving too deeply into it.
I like the idea that I can just write for loops instead of weird numpy magic, I really do.<p>But languages doesn't work in silos. I don't want a fast language that I cannot use for writing, say web servers, without rewriting 90% of django.<p>The proposition of python is that you get acceptable performance with an insane package repository that means you can <i>ship</i> so much faster.<p>And if you absolutely need to write for loops, use clever things like numba or cython.<p>Stop reinventing the wheel people.