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  1. I firmly believe that my two favourite hobbies, photography and cooking, are amazing as an amateur but incredibly demanding as a professional.

  2. Using duckdb with LLMs

    Part of my job is to explain why a large optimisation model made the decisions it did.

  3. Time series models normally require the designing of specific features to capture something about the underlying patterns: Fourier terms, Radial Basis functions etc in old blog post about linear models holiday events Calendar features (hour, day of week,…

  4. I have an Obsidian vault to store everything I know about cooking: recipes, ingredients, cookbooks and restaurant notes.

  5. I wanted to show my Unsplash photos directly on my photography page instead of just showing a text link.

  6. TIL: Hidden Markov Model

    While doing research for a consulting project that sadly went nowhere (classifying rock type by core samples if you’re asking), I discovered Hidden Markov Models (HMMs).

  7. I went to a PyData meetup the other day and heard Ben Guerin tell the story behind his viral website ismypubfucked.com, which does what it says on the tin (his joke).

  8. TD;LR: Migrating an Intel Mac to one with an M chip messes up the Python environments I haven’t been writing much lately.

  9. I made French food my culinary focus of last year.

  10. Logs to the rescue

    I’ve always been partial to a few print statements when debugging my personal coding projects.