Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
Thumbs up! We use this C interface in TileDB as well, so far still gingerly but for both the Python and the R bindings to interface to Arrow in more lightweight fashion not requiring all the things the native package needs.
Open Source is the best. At one point #simdjson made me curious so I built an #rstats package. In walks @knapply_ extending it to vastly outperform all R alternatives. It rests ... til @lemire and Fred Boyer take a spin and update it again. Just wow.
New release very soon.
It may sound funny but is flippant, and not everybody gets the irony.
We value diversity, and that entails test setups too. "Slowlaris", as much as may pains us at times, helps us create more robust systems.
Just how x86_64 once helped in a 32 bit world we now leave behind.
Join us for a live deep-dive on the internal mechanics of TileDB. Learn about the open-source TileDB Embedded array storage engine and how it serves as the foundation for the first universal database, TileDB Cloud. Register for Sept. 9 at 10am EDT. hubs.la/H0VWxg10
The end of an era, and, if we may add, good riddance.
A bunch of mailing list (and, e.g., @stackoverflow) answers for #rstats will be invalid but that is the sweet, sweet taste of slow moving progress (in, as usual, r-devel aka R 4.2.0 to be by next spring).
The older I get, and the more I use #RStats—20 years now—the more I come around to reducing package dependency. There is SO MUCH in base R that just gets the job done, almost always more quickly, & it makes your code more robust. Code I’ve written 15 years ago still just works.
You do that _inside your OS_ as only it can know, For example here (via the web)
packages.ubuntu.com/search?k…
Now on Ubuntu, you can query your release's apt info from R via .... my RcppAPT package too.
(Also: r-sig-debian is a good list for these questions)
Any other family with "friendly" competitions over the @nytimes (mini)-crossword? My college-age daughters are _shredding_ me. Could it have to do with using phones (them) versus the browser (me)? Any studies out here? Can I cheat otherwise? Asking for a "friend".
Data Science Programming Methods is back as STAT 447 for Fall 2021, and just started. Expanded shell programming, two guest lectures, the usual mix of git, md, sql, and #RStats will make for am exciting term, for more see stat447.com@Illinois_Alma@IllinoisStat
Whoops. Other way. With bspm, you can say
install.packages(c("digest", "ggplot2"))
etc and it will farm out to `apt` and get you all proper R as well as system depends via the available binaries.
But from R, not from the shell prompt (but I use a shell wrapper in littler)
BTW @Enchufa2 and I have a paper at arXiv on this; it is (as much as it pains me to say this ... ) even more comprehensive on Fedora and OpenSUSE. We need a .deb based volunteer effort to catch. If I had more time...
arxiv.org/abs/2103.08069
No because they have no pre-made binaries.
(Also, check out my bspm slides / blog post / container. You cay say `apt install digest ggplot2` and get those _same_ binaries !!)
Looking at daily NEWS change in the development version of #RStats via the RSS feed is always rewarding, and right after a release is often most interesting for changes 😁
Thanks to @bastistician and (twitterless?) Duncan Murdoch for theses making vignettes builds better.