| | Open-source LLMs offer more control and lower costs, but running them reliably takes real infrastructure. Nebius Token Factory handles inference, scaling, and performance so you can deploy models like Llama or Qwen behind a dependable API.
*Message from this week's sponsor, Nebius Token Factory |
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| | | | | Most of us use robust standard errors because we’re told to. But why do they actually differ from classical ones? This post builds intuition with simple simulations and visuals, showing how uneven noise changes coefficient uncertainty and why your p-values might shift.
Data Colada | Uri Simonsohn |
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| | This is a really clean walkthrough of turning a messy spatial decision problem into a value surface. It builds “strokes-remaining” heatmaps across a golf course, showing step by step how to model expected cost in continuous space.
Wigs on the Green | Matthew Schoolfield |
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| | Vicki Boykis got nerd-sniped by a social media exchange about querying 3 billion vectors. The dot products weren’t the hard part. At scale, the real challenge wasn’t the algorithm at all. It was nailing down the requirements.
Vicki Boykis |
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| | Ever had a JOIN return zero rows when you know the data exists? In this post, Haki Benita traces a head-scratching Postgres edge case involving row locks, concurrent updates, and isolation levels. Great debugging walkthrough.
Haki Benita |
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| | ‘XGBoost is all you need’ felt settled in 2022. The 2026 benchmarks complicate that story. Here's a nuanced look at where deep learning now wins on tabular data, where it doesn’t, and why the framing itself misses the point.
Michael Clark |
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| | Most developers still use AI coding tools like supercharged autocomplete. After 9 months with Claude Code as his primary development tool, Boris Tane landed on something different: a strict plan-first workflow where the AI never writes code until he's reviewed and annotated a written spec. Here's how it works.
Boris Tane |
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| | | | Think “scientific plotting, but UNIX-native.” kuva ships with a CLI that renders plots from data passed via the shell, including a terminal output mode. It’s lightweight, fast, and produces pixel-perfect SVG, PNG, and PDF.
GitHub | James Ferguson |
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| | Beeswarm charts show the full distribution of a continuous variable while preserving every individual data point. The points are placed so that they don’t overlap, making it look like a swarm of bees. In this post, Nicola Rennie shows how to build interactive versions in R, complete with hoverable tooltips.
Nicola Rennie |
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| | | These topic-focused editions complement the regular Tuesday issue and go deeper into the topics you’re most interested in: | Data Practice — Everyday data work, including SQL, statistics, visualization, R/Python, and tools. Published Wednesdays. Learning Machines — Machine learning and AI, including tutorials, research, tools, and applications. Published Thursdays.
| Opt-in to one or both. |
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| | | This week's issue sponsored by: | | |
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