Ned Letcher

@nletcher

data (science | analytics | visualisation | engineering), @thoughtworks, #Python, #nlproc, ML, & assorted whimsical miscellania

Melbourne

nedned.net

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Ned Letcher
@nletcher
Jun 24, 2024
Around 18 months ago, I noticed a critical mass of excitement happening around #DuckDB. A number of folks whose opinions I value and trust were saying some very bullish things about its applications for data engineering and data science, and so I decided it was time to jump down
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Ned Letcher
@nletcher
Sep 1, 2025
Assessing LLM output quality requires managing vast input/output spaces and acute sensitivity to minor prompt changes, but many teams are still running on largely vibe-based evals, incurring considerable risk and preventing systematic product improvement. We can do better! [1/5]
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Ned Letcher
@nletcher
Oct 26, 2024
Every time I've needed a top-N SQL query, I've thought, there *has* to be a better way to do this. With #DuckDB 1.1 there is!
DuckDB
@duckdb
Oct 25, 2024
𝗙𝗮𝘀𝘁𝗲𝗿 𝘁𝗼𝗽 𝗡 𝗳𝗼𝗿 𝗮𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗲 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 The end of the week brings us another blog post. @__AlexMonahan__ takes a deep dive into the top N capabilities in DuckDB: duckdb.org/2024/10/25/topn Happy Friday!
Ned Letcher
@nletcher
Oct 21, 2024
This 1000%
Vincent D. Warmerdam
@fishnets88
Oct 21, 2024
"Best practices" is horrible phrasing. "Sensible default" on the other hand, sounds great! I wrote a small TIL to help remind me of this after listening to a great interview with Martin Fowler on the Book Overflow podcast. Can recommend the episode! koaning.io/posts/sensible…
Ned Letcher
@nletcher
Sep 17, 2024
The timeline: hold my beer x.com/abbyolcese/sta…
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