Some thoughts about open source vs closed models from Joe Marlo in the age of #GenAI
Some thoughts about open source vs closed models from Joe Marlo in the age of #GenAI
Some first thoughts on using @anthropic.com's Claude Code with #rstats
My favorite kind of data science is geospatial
tidylog might be what you want
github.com/elbersb/tidy...
So much more than just code
That's so unpleasant. I hate hotels where they act like towels are worth gold. This just makes you want to stay even less.
Part 2 of setting up the Dell DGX Spark, now with Claude Code. Or check out the more personal version at www.jaredlander.com/2026/02/conf...
The Dell version of the DGX Spark has been a fun device to play with. Check out the initial setup at the link below or find my more casual review at www.jaredlander.com/2026/02/sett...
You beat me to it. Pretty soon the POS option will last him long enough to be a BIFL.
See how Mike Band, with his long history of combining football and analytics, uses LLMs to breakdown the game between the Patriots and Seahawks.
See the latest piece from @landeranalytics.com team member Joe Marlo
Apps crashing under load? Servers failing? We use Kubernetes to keep your systems resilient, self-healing clusters, automated scaling, and rolling updates ensure high availability and uninterrupted performance.
π½οΈ Watch here: youtu.be/Cf_vX-0Qrlc
#Kubernetes #CloudComputing #DevOps #databs
Tuesday night (1/27) at the New York Open Statistical Programming Meetup, Bill Gold will share how he vibe coded his recreational schedule. Donβt miss it!
π In-person at NYU & virtual | 7 PM ET
π More info & RSVP: nyhackr.org
#DataBS #VibeCoding
AI isnβt an arms race for most organizations.
This post explains how small and mid-sized teams create real value with AI by focusing on workflows, context, and domain expertise, not massive budgets or moonshots.
π: bit.ly/49YekBY
#AI #DataScience #SMB #databs
The @landeranalytics.com blog is back.
We'll be writing about what happens when AI meets real systems: legacy stacks, production constraints and practical tradeoffs that donβt show up in demos.
landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog
#DataScience #AI #Analytics #databs
The Lander Analytics blog is live again.
We will be sharing what weβre learning as we modernize analytics stacks, deploy models and integrate LLMs into real workflows, alongside the legacy systems most organizations still run on.
landeranalytics.com/post/welcome-back-to-the-lander-analytics-blog
Oh cool, so there has to be some way for me to recreate that. Thanks!
That can be frustrating. Usually CRAN will get the binaries up in a few days but if you can't wait you need to build it. I forget, but if the package doesn't have compiled code, you might be able to build a pure R package without rtools. I need to double check though.
So if rix can install GitHub packages I can probably translate that to what nic would say then translate that out to what devbox would say.
I've been using devbox which is a wrapper around nix and I haven't figured out how to handle R packages from GitHub.
Only if you are compiling packages from source. If you are installing from CRAN you do not need rtools. CRAN pre compiles the packages for windows.
You only need rtools if you are building packages with compiled code (think C++) on Windows. If you're not doing that, then you can install from CRAN without rtools because CRAN provides Windows binaries.
At the New York Open Statistical Programming Meetup on Tuesday, January 27, Bill Gold will talk about how he vibe coded his recreational schedule.
π In-Person at NYU & Virtual | 7 PM (ET)
πββοΈ More info & RSVP: nyhackr.org
#databs
Reenactment of Washington Crossing the Delaware
There's a great reenactment every year. They do the Delaware crossing, the battle of Trenton and the battle of Princeton.
Tagging @eddelbuettel.com. I know you're not a Windows person, but I imagine you've dealt with Rcpp on windows snapdragon?
Looking to get people's experience running #rstats on a snapdragon (ARM) processor with Windows. Good, bad, ugly, excellent?
Built a great Shiny app but struggling to share it? We help teams deploy, secure & scale Shiny using Docker, Kubernetes, and full infrastructure support. Your app becomes a fast, reliable web tool accessible across your orgβno crashes, no headaches.
π½οΈ Watch: youtu.be/Tp5eCo0vnLI
#Shiny #databs
The one I did was a whiskey which I knew would make @jdlong.cerebralmastication.com happy
π₯.xlsx