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
- LLM 0.22, the annotated release notes - 17th February 2025
- Run LLMs on macOS using llm-mlx and Apple's MLX framework - 15th February 2025
- URL-addressable Pyodide Python environments - 13th February 2025