I'm coding in python now. The group I'm in now has a similar tool (closed source) to data.table but in python and is based on numpy.
The api isn't as beautiful as data.table's, but has similar functionality. -Rob On Tue, Dec 7, 2010 at 7:54 AM, Matthew Dowle <[email protected]>wrote: > Thanks Rob. That begs an obvious question then ... what are you coding in > now ? > > "Rob Forler" <[email protected]> wrote in message > news:[email protected]... > I can attest that I used data.table very extensively for several months > on large datasets (financial). I was replacing a fair of poorly coded > data/frame, sql, plyr, apply code, and was able to match the previous > numbers and do a significant amount of new analysis because of the ease of > using data.tables. > > If I was still coding in R on a regular basis you can gauarauntee I'd use > data.table every day. > > Thanks, > Rob > > On Tue, Dec 7, 2010 at 7:30 AM, Matthew Dowle <[email protected]>wrote: > >> Just to clarify also about the date of first release - March 2010? Any >> chance Mel you looked at the CRAN archive page and read off the last row? >> Oldest is first not last on that page : >> >> http://cran.r-project.org/src/contrib/Archive/data.table/ >> >> v1.0 was released April 2006 but that was removed from CRAN happily >> because >> base quickly (within weeks) included features that removed the need for >> data.table. It was re-released in Aug 2008 with new functionality so >> that's >> the relevant release date for your purpose. >> >> Feel free to post the puzzling results. You've done well to use it for 2 >> weeks without posting, so you can probably tilt towards using this list >> more >> (on a new thread please). If we can get you over those hurdles first then >> reconsider if the 'robustness' question still stands. >> >> Other info which you may have not have found yet ... >> >> Crantastic has 5 detailed user reviews of data.table. It does state that >> v1.1 was released over 2 years ago, too, so leads me to guess you may have >> missed the link to crantastic on the data.table homepage. >> >> There are some oddities in the ranking formula but if you look at >> http://crantastic.org/popcon and realise that the batch near the bottom >> starting with reshape, ggplot2 and plyr should be at the top (seems like a >> bug, I'll let them know) then data.table appears to be around the 8th most >> popular CRAN package with average score 4.7/5 and 10 users, compared to >> ggplot2's 39 users. So crantastic itself is not popular since everyone >> knows that ggplot2 has many more than 39 users, and some very popular and >> stable packages don't have any votes at all. Even so perhaps this small >> amount of data may be useful in your assessment generally. "data.table" >> is >> not the easiest to google for. >> >> The NEWS file (link on the homepage) says that v1.2 was released in Aug >> 2008, too, at the bottom, along with what changed in each release since >> then. >> >> Matthew >> >> "Tom Short" <[email protected]> wrote in message >> news:[email protected]... >> > On Mon, Dec 6, 2010 at 10:54 PM, mbacou <[email protected]> wrote: >> >> My question is: is data.table ready for production? Would you rely on >> it >> >> for >> >> sensitive publications? >> > >> > If you have tight time deadlines, you may want to go with what you >> > have experience with, especially if it involves complicated queries or >> > manipulations. If you've already tried the data.table features you'll >> > need for "production", then using data.table may help you get things >> > done faster. >> > >> > Data.table has been robust for me on 6-GB datasets on a machine with >> > 24 GB of ram. With data.table, as with most tools, user error is more >> > likely than a tool bug, so you need to test/check your data and your >> > results. >> > >> > - Tom >> >> >> >> _______________________________________________ >> datatable-help mailing list >> [email protected] >> >> https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help >> > > ------------------------------ > > _______________________________________________ > datatable-help mailing list > [email protected] > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help > > > _______________________________________________ > datatable-help mailing list > [email protected] > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help > >
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