I simply want to say “thank you” for the enormous effort that this organization and website represent. I’m in an undergraduate economics program that emphasizes Stata and occasionally R, but my interest is in Python for its versatility and wide applicability (I’m also interested in astronomy and oceanography). This QuantEcon resource is hugely valuable to me, and although I’ve barely scratched the surface I look forward to working through this material!
Glad to hear it @CBecker :-)
Because it’s so huge now errors inevitably creep in, so please get in touch if you see any, or if you have general feedback or suggestions for new lectures.
Some nice discussion of Python vs R here: https://blog.dominodatalab.com/data-science-at-the-new-york-times/