By the time you see this screenshot, the feature will be live!
Think of it as a new kind of blog where we celebrate Python notebooks :)
... and widgets! So many novel widgets!
This was a fun rabbit hole indeed!
We recently added gcc to molab containers for Cython support, but it turns out that technically ... you could also use Zig! It is available via pypi!
That's an interesting unlock! Feel free to read the nerdsnipe here:
cemrehancavdar.com/2026/03/05/...
Shoutout to alphaXiv, their stack makes it super fun to explore papers!
What's the weirdest prompting trick you know?
Is it repeating the same prompt twice?
No. It's repeating the prompt ... three times.
Details and benchmark in this video: youtu.be/j2viZGPSydY
Been making some dashboards for myself ...
Notebook productivity is going only up now that it is easy to make your own library of JS <-> Python widgets to help you do your work. The interaction is *super* helpful.
Small detail: if you're looking for new DS tools, have you tried marimo?
I find them fastinating, and they are so so useful.
Can be made less scary with hashing tricks sometimes too
It was also interesting to read that you had a similar conclusion. I felt that merely replacing sklearn with a api-compatible rust clone would not be interesting.
... But a tighter ML library on top of polars does offer something new/modern to the DS stack.
I finally found somebody else who thought about porting sklearn! I also spotted the speedup but dropped the ball when I wanted to do sparse vector stuff which is currently no supported in rustland.
Then again, why not try?
Funny you mention that ... that's something we support ;)
www.youtube.com/watch?v=gW3N...
When people start to notice your hobby project ...
yep!
github.com/marimo-team/...
We're getting pretty close to automating stuff like this.
I tried to type "database", got "databae".
I also learned that the domain name is already taken.
I'm recording a video for all my fellow bayesians to help explain why a break even point is less relevant than the distribution of the break even point.
In the same video, I also explain how to code defensively so that Claude actually picks the correct distribution.
That's indeed my experience sofar.
I'm reminded of how many web frameworks there are and that those that survived exist do so because they took a principled "this is how we do this" stance. Just think of Django vs. Flask.
My prediction for 2026 is that a similar thing will happen for agentic frameworks.
This is a lesson I am increasingly learning and I am also dissapointed by the breadmakers that they don't come with an good "auto-open-when-done" feature.
It's a file you're not supposed to write. But it is also how we can ensure you still get just a Python file and something that can look at these cells as if they are DAGs.
If you want to get nerd-sniped though ... the really interesting thing is how you construct that distribution of a breakpoint at the bottom ;)
We upgraded the gallery =)
It also does not include the added value of having your kitchen smell like warm bread in the morning.
Hah! Yeah while there is a super interesting mathematical deepdive in that distribution there ... the conclusion of the dashboard is most likely "dont care about these numbers, baking bread with the kid is gonna be awesome".
It should arrive today ...
My impression is that they are a bunch smaller yeah, but you know what the cool thing is about that notebook? You can change the params!
Feel free to play around here:
github.com/koaning/note...
Unexpected nerd-snipe: the act of buying a bread machine
TIL about @statproofbook.bsky.social
Cool project!
What?! He's actually posting interesting data science content?!
On the INTERNeT?! In THiS DaY and AGE!?
youtu.be/93r6tC4k8Dw
Turns out matplotlib is pretty good tech for making big selections ... really!
www.youtube.com/watch?v=c-na...
Ohhh this is gonna be a lot of fun
