1) I like class objects and the ownership of their methods. Julia doesn't offer this.
2) JIT doesn't really gain / offer me that for the work I do (yes it is faster but nowhere near make-or-break)
3) In my field, python is already rare enough (SAS, Stata, R are the standard). Most have no idea what Julia is (so will be hard to get collaborators to buy-in).
4) Related to 3, most in my field favor familiarity with a software over speed.
5) If speed was what I really cared about, why not just go to C, C++, Rust, etc. and skip over Julia entirely?
6) Really can't discount the existing ecosystem. Julia has a long way to go
Paul Zivich. Computational epidemiologist, causal inference researcher, and open-source enthusiast #epidemiology #statistics #python