[ssivark]

I find Julia to be a wonderfully expressive language to write in, without sacrificing any speed. The abstractions allowed me to write less code (especially boilerplate), and maintain cleaner code structure -- mapping to my understanding of the problem. Feels much friendlier than Python to me, but YMMV. (My experience basically revolves around prototyping various numerical/ML algorithms for exploration and understanding, and not the kind where you just call a library to solve a task. Projects mostly in the range of 20 to 2000 lines of code. Having used both Python and Julia for such tasks, I lean towards Julia when I have the choice)

A couple of my previous HN comments on Julia's indexing: https://news.ycombinator.com/item?id=15472933 and https://news.ycombinator.com/item?id=15473169

Plus, I found it exciting to read community discussions for a language growing towards 1.0, to understand the different approaches that were considered, and why certain choices were made. From what I've seen, the whole development process was quite transparent, and the developers have always indulged sincere questions/suggestions from participants, dealing in concrete examples instead of sweeping generalizations and polemic. I don't know what standard to compare this to, but I've enjoyed the experience.