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I don't like NumPy

(dynomight.net)
480 points MinimalAction | 2 comments | 15 May 25 16:05 UTC | HN request time: 0.506s | source
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rrr_oh_man ◴[15 May 25 18:48 UTC] No.43998051[source]▶
Coming from the excellent tidyverse or even data.table in R, Numpy always has felt like twenty steps back into mindfuck territory.
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acc_297 ◴[15 May 25 19:01 UTC] No.43998195[source]▶
There's also the fantastic "tidytable" library. I wouldn't want to implement multi-headed self attention in either of those libraries though.

I've done only very simple ML stuff using R and it never feels like exactly the right tool.

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frakt0x90 ◴[15 May 25 19:09 UTC] No.43998268[source]▶
I had to write a normal codebase in R exactly one time and it was one of the weirdest and most unpleasant coding experiences I've had. After that, I decided R is tidyverse and a handful of stats libraries. If you need more, reach for another tool.
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1. lottin ◴[15 May 25 20:48 UTC] No.43999204[source]▶
I never understood the appeal of tidyverse. I have a colleague who, like you, thinks that R is tidyverse. He also has the nasty habit of starting Excel formulas with a '+' sign.
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2. jampekka ◴[15 May 25 21:26 UTC] No.43999488[source]▶
The main attraction of tidyverse is that it's easy to copy-paste code for common cases. If there's no ready recipe for something, it's usually just not done, or some "technical person" is called to do it.

R is used mostly as a fancy calculator, which is fine in itself, but it makes the comparisons to general purpose languages like Python quite apples-to-oranges.