The #DuckDB v2.0 CLI has an agent mode that gets AI coding agents to a correct result faster and with fewer tokens. When the CLI detects an agent, it prints compact Markdown tables instead of padded boxes, says clearly when a result was cut, stops runaway queries early, and reports errors as JSON.

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I've added support in spopt-r for spider (desire) lines to the package's location-allocation solvers. Spider lines can be straight or can even follow the road network with r5r. This demo uses the new shinyreact framework for Shiny to visualize optimization solutions in real time.

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Just updated my Reproducible Project Template so that it now generates Word (.docx) versions of the paper. Really useful for anyone writing reproducible papers in Quarto (.qmd) files who collaborate with people who prefer tracked changes 🚀 robinlovelace.net/reproducible...

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Excited to be teaching again! Sign up for the Monday SedonaDB workshop to mostly learn about how query engines/databases can make large(r) data in Python less awkward!

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Quack, quack! A DuckDB v2.0 preview is here! 🦆 In this post, #DuckDB co-creators Mark Raasveldt + @hannes.muehleisen.org preview the headline features of DuckDB v2.0 (expected to land this autumn): • DuckDB as a server • Triggers • async I/O • + more Dive into the deets: duckdb.org/2026/08/17/d...

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