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Articole: 109
  1. Where do you write SQL queries?

  2. FiveThirtyEight is one of the reasons I went down the data science rabbit hole, during my university years.

  3. The last few years Although my PhD had nothing to do with online machine learning, that’s when I started to take an interest in it.

  4. I am in favor of coding agents.

  5. Introduction I joined Carbonfact as a first employee.

  6. Andrej Karpathy’s autoresearch project made a lot of ripples.

  7. Many people seem to admire DuckDB.

  8. Python 3.14 introduced the compression.zstd module.

  9. Détrak is a simple board game.

  10. At my day job we deal with enterprise customers.

  11. Warmshowers sparks joy

    I have a friend with whom I like to go travelling on a bicycle.

  12. Do LLMs identify fonts?

    Spoiler: not really dafont.com is a wonderful website that contains a large collection of fonts.

  13. Thoughts on DuckLake

    DuckLake is the new data lake/warehouse from the makers of DuckDB.

  14. A metric tree is a visual way to organize a complex metric.

  15. I recently looked into reducing the runtime of Carbonfact’s SQL DAG.

  16. Carbonfact’s customers are clothing brands and factories.

  17. I spend a lot of time at Carbonfact working on datasets shared by our customers.

  18. Measuring the environmental impact of a product is done using life cycle assessment (LCA).

  19. Our mission at Carbonfact is to measure the environmental impact of clothes.

  20. Last night I went to a Toulouse Data Science meetup.

  21. This is a short post to share a GitHub Actions pattern I use to setup Poetry and pre-commit.

  22. Funnel metrics as products I talked about metric decomposition in a previous article, and how it can be used to explain why metrics change values over time.

  23. Efficient ELT refreshes

    A tenant of the modern data stack is the use of ELT (Extract, Load, Transform) over ETL (Extract, Transform, Load).

  24. I’m writing this after watching the talk Joe Reis gave at Big Data LDN.

  25. Edit – I published a notebook here that deals with the case where dimension values may (dis)appear from one period of time to the next.

  26. Making environmentally friendly decisions can only be done with the right information.

  27. Introduction Graph problems are quite common.

  28. I love the JSON format.

  29. According to the United Nations, the 15th of November was the day we crossed 8 billion humans on the planet.

  30. Edit – this post generated a few insightful comments on Hacker News.

  31. A program which compiles and runs without errors isn’t necessarily correct.

  32. Active learning is a way to get humans to label data efficiently.

  33. TLDR I compared the energy consumption of Airbnb guests versus their host, in the same apartment, during 2022.

  34. The future of River

    Source When I see tweets like this one, I’m both happy because people are aware of River, but also irked because it’s really difficult to make production-grade open source software.

  35. The task You’ll have heard of GPT-3 if you haven’t been hiding under a rock.

  36. This article has some interactive keyboards, therefore I recommend reading it from your computer rather than your phone.

  37. The task I work at a company called Carbonfact.

  38. The inverse covariance matrix, also called precision matrix, is useful in many places across the field of statistics.

  39. A rant against dbt ref

    Disclaimer Let me be absolutely clear: I think dbt is a great tool.

  40. River is a Python software for doing online machine learning.

  41. Fuzzy string matching in a nutshell Say we’re looking for a pattern in a blob of text.

  42. I recently saw SymSpell pop up on Hackernews.

  43. Edit (2023-05-26) – I’ve learnt about the Kumiko project, which is exactly devoted to slicing comic book panels.

  44. Why I’m writing this Fact: designing open source software is hard.

  45. I’m working on a problem where I need to sample k items from a list without replacement.