For much of my early career, I worked primarily in Python for data science, analysis, and engineering. While I don’t use it as much anymore, it’s a handy tool for quick prototyping and data projects, especially in AI, LLM, and machine learning projects. It’ll come up from time to time, and those projects will show up here.
#python
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Recent Posts
Forward links
- #ai
The engineering/ai tag contains notes and content related to AI systems — it’s distinctly more LLM- and tooling-oriented than, say, engineering/data, which…
- #data
One of the things that lights my brain up is bring able to process, analyze, and visualize cool datasets. I’ve been incredibly fortunate to be able to make a…
- #dayjob
As part of my daily gardening, I write brief notes about tasks to get done at my day job. The vast majority of these notes will be private, except when taking…
Backlinks
- Feeling Right, Nothing Done: Don't Be the Death of Consensus
Classifying opinions as "strong" or "weak" to stop wasting hours in fruitless engineering debates. How consensus can beat being "right", and an open letter for the tactically apathetic.
- The Over/Unders of Over- and Under-Engineering
I've learned so much in my career — so why do I finish fewer projects than I used to? Over-engineering: it's easier to be bad at something on accident than on purpose.
- #languages
I’m certainly not a person who has strong opinions about programming languages. My personal and professional decision graph around language choice is: