Early stage econ Phd student here focusing in micro theory but considering a shift/expansion into applied micro IO/health. I’ve previously learned some basic Python from a more traditional software engineering viewpoint (still beginner). Once I started to look into the scientific computing stuff (e.g. numpy) it seemed a bit awkward (np.this.that etc.) and I started looking into Julia. So far Julia seems really great for numerics but I’m still super basic and now trying to see whether to invest further in it or go back to Python.
I want to develop proficiency in microeconometric coding e.g. for health econ (and eventually data science of various sorts) as well as general numerical analysis that might come in handy for game theory. Based on the IO class I just took and this Quantecon Post from last year, it seems like the applied micro packages might be more well developed in Python. Looking long term, I’d say I’m 50-50 academia vs. industry.
Probably I’m getting a biased take on this forum, but: any thoughts on Python vs. Julia? Thanks.