I used git stash once and I never saw that code again ๐
I used git stash once and I never saw that code again ๐
"Golden GNU" is beautiful ๐
Just trying to summon @jennybryan.bsky.social with that one ๐
On Her Majesty's Secret API Key
For Your Working Directory Only
No Time to Document
I want the next Avatar movie to be subtitled YOLO and Cry
good news I didn't need stats at all ๐
preparing for an interview and realizing how much advanced stats theory I've forgotten ๐
a better description has never been written
Love the gem icon. Like "look it's shiny, you definitely want this"
Skyscrapers and Riverwalk at dusk
Black and white buildings over a river with fog
We are criminally underrated ๐ญ
Looking down from a bridge at the river, where sharp reflections of the skyscrapers are visible
Chicago River was surprisingly undisturbed this morning
#chicago
Opted out by default! What a concept
We just had a leader training at $DAYJOB in which, as part of a breakout group activity, we had to coach an "employee" who was just an AI chat bot. It was gross.
ha fair enough. was thinking pedagogically -- like I suppose people might learn just enough tidyverse to crash their way through data tasks, without ever really treating R like a programming language
I went into management. Equal ick factor, but with less snake
Definitely a failure of imagination on my part, but with all the internal flame wars I never stopped to consider that someone might totally skip base R and go right to tidyverse. Debugging must be torture
omg
We must simply adopt disguises and become a mysterious data hero duo
"We'd make such a good podcast if we weren't worried about keeping our jobs." - @emilyriederer.bsky.social after a cathartic conversation about doing data science at our places of employment
#dataBS
Parts of this one also came to mind during the whole Greenland thing.
youtu.be/sGcOoKQl_hM?...
One of my faves. Around the house we commonly use the refrain "I hear what you're saying and the answer is NO."
In ~2019 I chaperoned a high school lock-in where we watched The Matrix. The movie was 20 years old and, hilariously, the kids hadn't heard of it. When it was over they couldn't stop taking about how awesome it was.
That's right kids, when I was your age we had real cinema!
I would have been 15 or 16 when I first saw it. I remember requiring a few viewings before I fully understood. It's a dense mythology. Like, the opening scene with Trinity demands a ton of context before all the action makes sense
Something we don't talk about enough is that, because data scientists are at the intersection of stats/comp sci/business (or pick your Venn diagram), we often end up being the conduit for coordinating all those corporate functions
#dataBS
SCREAMING WITH JOY
AND ALSO DISAPPOINTMENT BECAUSE I CAN'T BE THERE
but that does not fit into a skeet or cause an uproar
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Julia you did it again
imagine the look on that product manager's face when the AI overlords came knocking