nickeubank
commented
6 years ago 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
I saw your post on Real Python, which is a site I value greatly. I'm working as a business intelligence leader at a commercial honey bee company(https://bestbees.com/) and our data is a mess. Which makes me a good resource for contributing here!