4 ms·

As someone who is now bouncing back & forth between Python and R on a weekly basis, I've been surprised (after making fun of R sometimes) how much I miss the pi

by kaitai 6y ago

As someone who is now bouncing back & forth between Python and R on a weekly basis, I've been surprised (after making fun of R sometimes) how much I miss the piping when I leave R for Python. Pandas seems so inflexible by comparison, so nitpicky for little gain. I've been surprised again and again how much dplyr supports near-effortless fluency and productivity. Never really thought I'd be writing that in a public forum.

smabie 6y ago
I'm not an R user, but you should try Julia for data analysis. It seems as flexibility (maybe more) than R, while also having blazing performance. I do like Pandas concept of row indices, which I know Julia (and I believe, R) lack.
- ekianjo 6y ago
  Tbh R's performance is only an issue when you deal with really big datasets. Most of the time R does just fine, and has a lot more libraries that Julia can ever hope to have.
- kaitai 6y ago
  I have used Julia a bit and really enjoyed it. The only reason I do not use it for work is lack of libraries. I know I could 'be the change I want to see in the world' and contribute, but given the pace of things at work I cannot fit that in on the company dime at this time...
  - sundarurfriend 6y ago
    Could you describe what kind of libraries you found lacking in Julia? I did get a feeling that lots of long-tail stuff was missing, when I was looking through Julia packages some time ago, but only in a vague "this doesn't seem that exhaustive" sense. Knowing what specifically has been found lacking would be useful.
- scottlocklin 6y ago
  You should try using R; the real world performance is actually better than Julia in every way that matters. Yes, Julia has a better data frame object; that's why we use data.tables(). Also Wes probably got the idea for row indeces from R.
  - disgruntledphd2 6y ago
    The idea for row indices 100% comes from R, as it's been in S for longer than I've been alive ;)
epistasis 6y ago
Personally, I think R as a language is absolutely beautiful. The libraries have tons of warts, and many different styles. And there are perhaps too many object orientation systems built on it. But that you could even build multiple object oriented systems points to how powerful the language is. I think it's functional orientation and the way that for loops are neglected make it seem completely insane to many people. But this is a far smaller fraction of people today than it was in 2000. back then, Java and C++ didn't even have lambdas. Since then, procedural languages have gained a lot the "mind-breaking" functional features of Lisp-derived languages. Python and JavaScript have become far more common. All the things that made the language of R "weird" and unusable to the Java/C++ crowd have been adopted elsewhere.

by kaitai 6y ago

smabie 6y ago

I'm not an R user, but you should try Julia for data analysis. It seems as flexibility (maybe more) than R, while also having blazing performance. I do like Pandas concept of row indices, which I know Julia (and I believe, R) lack.

ekianjo 6y ago
Tbh R's performance is only an issue when you deal with really big datasets. Most of the time R does just fine, and has a lot more libraries that Julia can ever hope to have.
kaitai 6y ago
I have used Julia a bit and really enjoyed it. The only reason I do not use it for work is lack of libraries. I know I could 'be the change I want to see in the world' and contribute, but given the pace of things at work I cannot fit that in on the company dime at this time...
- sundarurfriend 6y ago
  Could you describe what kind of libraries you found lacking in Julia? I did get a feeling that lots of long-tail stuff was missing, when I was looking through Julia packages some time ago, but only in a vague "this doesn't seem that exhaustive" sense. Knowing what specifically has been found lacking would be useful.
scottlocklin 6y ago
You should try using R; the real world performance is actually better than Julia in every way that matters. Yes, Julia has a better data frame object; that's why we use data.tables(). Also Wes probably got the idea for row indeces from R.
- disgruntledphd2 6y ago
  The idea for row indices 100% comes from R, as it's been in S for longer than I've been alive ;)

epistasis 6y ago

Personally, I think R as a language is absolutely beautiful. The libraries have tons of warts, and many different styles. And there are perhaps too many object orientation systems built on it. But that you could even build multiple object oriented systems points to how powerful the language is. I think it's functional orientation and the way that for loops are neglected make it seem completely insane to many people. But this is a far smaller fraction of people today than it was in 2000. back then, Java and C++ didn't even have lambdas. Since then, procedural languages have gained a lot the "mind-breaking" functional features of Lisp-derived languages. Python and JavaScript have become far more common. All the things that made the language of R "weird" and unusable to the Java/C++ crowd have been adopted elsewhere.