News for hackers. Stuff that matters.

A comment on Why Python is Slow: Looking Under the Hood (2014). Parent comment

Re:Why Python is Slow: Looking Under the Hood (2014) by peatmoss on Wednesday October 25, 2017 @09:12AM (#15549765)
It’s funny because deployment is one of the reasons I hear Python data people trash on R. In general, I’d agree with them that it’s slightly harder for systems people to grok R, but on the other hand I don’t exactly see Python as a shining beacon.
[ Parent | on HN ]
Re:Why Python is Slow: Looking Under the Hood (2014) by baldfat on Wednesday October 25, 2017 @06:06PM (#15554724)
R as a Domain Specific Language has great output for Reports, Word Documents or Power Point slides and a million of reports. There is also the shinny package and shinny server for web publishing.

This is why I went to R from Pandas. My company was impressd with all the reports but asked why they couldn't edit the themes. Then I did it in R in 2 days and haven't looked back. I love Python but I have been using it less and less and more Racket.

[ Parent | on HN ]
Re:Why Python is Slow: Looking Under the Hood (2014) by peatmoss on Wednesday October 25, 2017 @08:35PM (#15555475)
Haha, yes, I keep encountering your comments about R and Racket and have to do a double take to make sure you’re not me.

Would love to hear more about any data Racketeering you’re doing. I’ve been thinking of documenting up my wishlist for quanty things in Racket and maybe try implementing a data dsl in Racket.

[ Parent | on HN ]
Re:Why Python is Slow: Looking Under the Hood (2014) by baldfat on Thursday October 26, 2017 @12:21PM (#15560303)
I am thinking of doing a munging and data cleaning dsl and using OpenRefine as a way to implement the code. I really think that would be super handy for doing data cleaning.

A few people have done some R calls within Racket that is intresting.

[ Parent | on HN ]
Re:Why Python is Slow: Looking Under the Hood (2014) by peatmoss on Thursday October 26, 2017 @03:48PM (#15562357)
Let me know if you feel like combining forces either for implementation or for imagineering :-)

EDIT: I also know there’s a data frame package called munger, though I it’s undocumented and likely incomplete.

[ Parent | on HN ]