I'm able to contribute to this effort about data-analysis-in-python

[nickeubank]

Hello @stephaniemdavis ! That's an awesome offer, thanks!

I will confess, though, I've been drifting more and more towards using Julia., and had been thinking of putting a note at the top of the page suggesting it may be a better choice for a lot of people moving forward.

I've laid out the larger rationale in a talk here, but the short version is that Julia is almost entirely written... in Julia. Which means that custom functions are just as fast as fancy in-built functions (which are usually actually written in C).

I've also had a love-hate relationship with pandas. I like it a lot more than R, and never could have gotten my research done without it. But pandas has always been a little weird as a result of being a library written on top of another library (numpy) written to add a feature that Python was really never designed to have (typed arrays).

With all that said, pandas is a mature library, python is great, and julia is a little young still, so it may not be a great choice for everyone yet. But yeah... I'm mostly moving my work. :)

[stephaniemdavis]

Ok, thanks for responding. You're a more advanced developer than I!