Sam Wilkinson's personal blog
When we moved into our current place, we knew pretty quickly we'd want to change our bedroom ceiling fan. That thing easily covered a quarter of our ceiling, wobbled like crazy, and I could not figure out what any of the three (!) pull chains did. It had to go. After some searching, this fan (the CLF513S) from Dreo seemed like a good option. It's reasonably priced, looks quite nice, and most…
With the release of Claude Fable, it is clear that Anthropic is progressing from poems to enterprise-scale narrative objects. To keep pace with competitors, the company is developing a broad portfolio of models optimized for the full literary stack. Model Name Description Aphorism One sentence, but it always feels right Haiku Small poem, small bill Marginalia Provides unprompted commentary on your…
My absolute favorite mouse is the MX Ergo from Logitech. It's a trackball mouse with a good number of buttons and a comfortable, ergonomic tilt. It clicked with me as soon as I tried it, and I've been using one since they came out back in 2017. However, it's not without its issues. There are 3 main areas where the sheen of perfection wears off: It uses a micro-USB port to charge. The switches are…
Originally published in Towards Data Science . Data Science is extremely iterative. Those iterations can involve lots of back and forth of data between different platforms. Maybe you pull some data from your BI tool, run some analysis in Jupyter, then move the output into a spreadsheet to share with your teammates. Then you find something you need to fix and end up running the whole thing again.…
Originally published in Towards Data Science . Old News This article is more than 5 years old, and in that time uv has come out which is better in every way. Just use that! As a Data Scientist, I code almost entirely in Python. I also get easily scared by configuring stuff. I don’t really know what a PATH is. I have no clue what lies within the /bin directory on my laptop. These are all things…
Originally published in Towards Data Science . Pick the right tool for the job, which is probably the simplest. Focus on solving real world problems, making sure you can measure your solution. Repeat consistently. Data Science is a field filled with fancy sounding things. Concepts both simple and complex get cool names, and let you make claims like being "Powered by AI". While this isn't…