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>Python has gotten sufficiently weapons grade that we don’t descend into R anymore. >Hadoop is definitely happening but it’s Google’s problem because now after
by everybodyknows 7y ago
>Python has gotten sufficiently weapons grade that we don’t descend into R anymore.
>Hadoop is definitely happening but it’s Google’s problem because now after building our own Hadoop on iron solution, after dealing with Redshift for a while, we now just gave it all to BigQuery.
A tidy simplification of the technology stack.
- nerdponx 7y agoPython has gotten sufficiently weapons grade that we don’t descend into R anymore. I've experienced this in my own work as well. The extra verbosity of Pandas data frames compared to R data frames doesn't bother me anymore. Sometimes I miss the Lispy homoiconic magic, but not enough to make me want to use R at work. I still use it once in a while for heavily "statistical" stuff that doesn't ever need to be "productionized", but for run-of-the-mill machine learning I see no reason to use it over Pandas.
- mushufasa 7y agoWould anyone recommend / warn against any of python tidyverse ports, like dplython (dplyr) or plotnine (ggplot2)? I'd like to have my cake and eat it too, but I'm worried that's too good to be true.
- mkay313 7y agoI gave plotnine a go in one of my personal Python projects (I'm a big fan of ggplot2 and tidyverse in general over pandas and seaborn) and after struggling for a while with a more complicated graph I went back to using seaborn. Not to mention writing R-like code in Python will prevent you from being immediately understood by both R and Python developers. It's just not worth it.
- kyllo 7y agoThose python ports of dplyr and ggplot2 are cool, but the problem is that they're abandoned.
- Angostura 7y ago> Lispy homoiconic magic I just want to acknowledge this fabulous phrase.