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From @patrickmineault.bsky.social, on how scientists can use Claude Code to help with all the heavy data analysis coding that is a big part of our lives. use a make system, set up folder structures, write tests, use git, use package managers. Notes on notebooks and visualizations too. 🧪

Minh-Huy Mai-Duc@sabertoaster.bsky.social

www.neuroai.science/p/claude-cod... Why yes this is very helpful for me as an undergrad. I like the way the methods that Patrick laid, how to aid research using AI and its pros vs cons

neuroai.scienceClaude Code for ScientistsAbundant code without the sharp edges

30/1/26, 4:15 am5 reposts19 likes

Mark Histed

@markhisted.org

30 Jan

and I learned about marimo from this!

Mark Histed

@markhisted.org

30 Jan

"it also means you can produce wrong results faster than ever before. The fundamentals, including validation, reproducibility, knowing where your data comes from, and knowing when you’re out of your depth, don’t change from writing code manually. If anything, they matter more now."