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Where do you write SQL queries?
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FiveThirtyEight is one of the reasons I went down the data science rabbit hole, during my university years.
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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.
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I am in favor of coding agents.
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Introduction I joined Carbonfact as a first employee.
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Andrej Karpathy’s autoresearch project made a lot of ripples.
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Many people seem to admire DuckDB.
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Python 3.14 introduced the compression.zstd module.
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Détrak is a simple board game.
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At my day job we deal with enterprise customers.
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I have a friend with whom I like to go travelling on a bicycle.
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Spoiler: not really dafont.com is a wonderful website that contains a large collection of fonts.
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DuckLake is the new data lake/warehouse from the makers of DuckDB.
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A metric tree is a visual way to organize a complex metric.
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I recently looked into reducing the runtime of Carbonfact’s SQL DAG.
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Carbonfact’s customers are clothing brands and factories.
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I spend a lot of time at Carbonfact working on datasets shared by our customers.
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Measuring the environmental impact of a product is done using life cycle assessment (LCA).
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Our mission at Carbonfact is to measure the environmental impact of clothes.
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Last night I went to a Toulouse Data Science meetup.
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This is a short post to share a GitHub Actions pattern I use to setup Poetry and pre-commit.
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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.
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A tenant of the modern data stack is the use of ELT (Extract, Load, Transform) over ETL (Extract, Transform, Load).
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I’m writing this after watching the talk Joe Reis gave at Big Data LDN.
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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.
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Making environmentally friendly decisions can only be done with the right information.
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Introduction Graph problems are quite common.
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I love the JSON format.
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According to the United Nations, the 15th of November was the day we crossed 8 billion humans on the planet.
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Edit – this post generated a few insightful comments on Hacker News.
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A program which compiles and runs without errors isn’t necessarily correct.
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Active learning is a way to get humans to label data efficiently.
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TLDR I compared the energy consumption of Airbnb guests versus their host, in the same apartment, during 2022.
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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.
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The task You’ll have heard of GPT-3 if you haven’t been hiding under a rock.
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This article has some interactive keyboards, therefore I recommend reading it from your computer rather than your phone.
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The task I work at a company called Carbonfact.
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The inverse covariance matrix, also called precision matrix, is useful in many places across the field of statistics.
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Disclaimer Let me be absolutely clear: I think dbt is a great tool.
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River is a Python software for doing online machine learning.
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Fuzzy string matching in a nutshell Say we’re looking for a pattern in a blob of text.
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I recently saw SymSpell pop up on Hackernews.
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Edit (2023-05-26) – I’ve learnt about the Kumiko project, which is exactly devoted to slicing comic book panels.
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Why I’m writing this Fact: designing open source software is hard.
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I’m working on a problem where I need to sample k items from a list without replacement.