18th November 2021 - Link Blog
Cookiecutter Data Science (via) Some really solid thinking in this documentation for the DrivenData cookiecutter template. They emphasize designing data science projects for repeatability, such that just the src/ and data/ folders can be used to recreate all of the other analysis from scratch. I like the suggestion to give each project a dedicated S3 bucket for keeping immutable copies of the original raw data that might be too large for GitHub.
Recent articles
- Initial impressions of Claude Fable 5 - 9th June 2026
- Running Python code in a sandbox with MicroPython and WASM - 6th June 2026
- Claude Opus 4.8: "a modest but tangible improvement" - 28th May 2026