32. The bootstrap is basically magic

This is wild. It's clever but also very annoying.

Seems like everyone has written an AI think piece

Vacancy: Lead data analyst at Aston Villa FC careers.avfc.co.uk/job/lead-dat... #mediajobs

I was tagged the other day by someone kindly sharing my Python Rgonomics post and realized that my thesis of "tooling keeps improving" held up too well and some of the recos have changed Hence, here's the 2025 update: www.emilyriederer.com/post/py-rgo-... Now feat uv (vs pyenv, pdm) and Positron

This is a very good summary of what @amoniz.bsky.social and @hemmenkees.bsky.social were saying on the recent pod.

What the heck is a 7pm game on a Sunday?

+1000000. Growth models should be part of onboarding. Shouldn't be able to pass your probation if you're not familiar with the growth model.

New phone doesn't fit in the pocket of my jeans. Is this what is behind the Gen Z "everything should be baggy" trend?

It's days like this that I actually miss Twitter. What a game that was. So proud of those boys! #ggmu

Thanks for sharing this @mertheman.bsky.social!! I am very excited for the course to start and for all of my social media to be #dataBS focused for a bit 😅

My 8000-word note on agents: huyenchip.com//2025/01/07/... 1. An AI-powered agent's capability is determined by its tools and its planning ability 2. How to select the best tools for your agent 3. How to augment a model’s planning capability 4. Agent’s failure modes Feedback is much appreciated!

I'm sad that I finally need to upgrade my iPhone 13 mini. I don't get why the larger phones are so popular

I'm starting a new job for the first time in ~5 years. What's your best advice? #databs

How I feel watching United these days

I (finally) wrote up my thoughts on "Founder Mode" and the Brian Chesky morality tale about how he turned around Airbnb company culture. This has made it into the Silicon Valley water table; it must be dealt with. There are some good nuggets within; let's dig them out. charity.wtf/2024/12/17/f...

Very impressed by what I'm seeing from Lightdash. Metrics first thinking is chef's kiss www.lightdash.com/blogpost/int...

I want to start blogging again. What tech do people use these days? Netlify, Hugo, GitHub pages? Substack? Probably once a month and mostly technical content I'm learning #databs

Tech words I hate: "double-click" as in "I want to double-click on this topic"

well, time to play more Death's Door

Same question, but for London #databs

I've had such a good week off work. Didn't realise how much I just needed to chill out a bit

Not to be that girl with 2 posts in 2 days about eggs but the key to the perfect omelette is using butter and not oil in the pan #eggsky

Absolutely. I was also thinking a mute scale. Where you don’t mute them entirely, and you set their account to be shown only like 10% or 20% of their posts

> this is one of the main drivers for ever new "To Do" apps: the existing app gets full because deleting is too hard, so we start fresh with a new app. The app isn't the point, the starting fresh is. Ugh too much truth for Sunday morning mp (news.ycombinator.com/item?id=4228...)

If you're interested in trying out LLMs in #rstats but don't know where to begin, I've added a few two vignettes to elmer: elmer.tidyverse.org/articles/elm... and elmer.tidyverse.org/articles/pro...

Since I've been here for a while… here are some useful features on Bluesky that you might not have discovered yet! 🧵

My work superpower: slack search. I can find any and everything

Get close to the business Figure out what the executives care about Listen during all hands Be ruthless at prioritization Don’t let perfect be the enemy of good Communicate value not the work Don’t get lost in the sauce

Is R still relevant? I realised that of the 50 data folk in our org, only 2 of us (myself included) still use R. Everyone else uses Python. Is this reflective of the market? I'm not trying to bring old flame wars to this new place. Geniune question! #databs

what's the long term career path for folks senior IC data analysts? It feels like it's - become a manager - learn ML and become an MLE - learn engineering and become data engineer - become a "data stakeholder" - work for a data vendor #databs

For instance, I think Sam Taylor's article on coming up with Controllable Input Metrics is the best so far on the topic: xmrit.com/articles/set... We're actively looking for a more generalisable framework; but this gives you a look at how we're grappling with the topic.

#rstats is actually fighting about Base versus Tidyverse again on this platform. We are so back

- floor staff @ Uniqlo - Analyst @ Paymentshield - Actuarial analyst @ Direct Line - Actuary @ RSA - Data @ Expedia - Data @ Zapier #databs

My favourite days are US/CA but not UK public holidays. Slack is always so quiet. The few days a year this happens accounts for 60% of my annual work output.

I'm looking to make a London Data people starter pack. Who should I add? #databs 📊

Win of the week: got budget to invest in a semantic layer that's not Looker. 2025 is going to be fun #databs

I want to state for the record that I still believe that analysts should become more strategic (esp now that I've exited my primary conflict of interest). Analysts need to become either more strategic or more technical, and this will be increasingly important as LLMs commoditize SQL-writing.