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Does me heart good seeing Pandas get dunked on https://news.ycombinator.com/item?id=25316608
I bet Julia is the future for data work. It has Python-like syntax & fun stuff like comprehensions. But, like R, it has native piping & vectorization.
I haven't switched for the same reason as anyone else: The package ecosystem.
I haven't switched for the same reason as anyone else: The package ecosystem.
Julia evangelists should keep in mind there's a lot of package ecosystem catch-up to do before R/Python users who aren't doing simulations switch. I'm following new pkg announcements on the Julia forum, & they're almost all about math.
The speed argument isn't compelling to me.
The speed argument isn't compelling to me.
I'm not abandoning R until there's a credible alternative to dplyr in Python or Julia. It's that productive. (Python is very fun, except for data work. Pandas has nice features but I have to repeat myself a lot. It's p much base R.)
Julia is currently in the phase of multiple Tidyverse-ish ecosystems competing for my time. None of them are equivalent in functionality to dplyr yet. I hope it'll happen. I don't need a clone, but I need something at least as productive.
