WEEK 09 · FERMLIT AT SCALE
Scaling is where program managers shine and scientists often stumble. Going from 50 to 2,000 papers is not "run the loop 40 times"; it is a production run with a budget, a quality floor and a cost table. You set the floor in week 7 (the minimum F1 you accept); now you choose the cheapest backend that clears it, exactly like choosing a supplier who meets the spec at the lowest price. When the 2,000 JSONs land, you bu…
THE NEXT BLOCK
Saturday sandbox · after James, Witten, Hastie, Tibshirani & Taylor, An Introduction to Statistical Learning with Applica…
Stanford Online · Statistical Learning with Python (Hastie, Tibshirani et al.) — Playlist: youtube.com/playlist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ · course page: online.stanford.edu/courses/sohs-ystatslearningp-statistical-learning-python. Moved out of core on 2026-09-29
In: LABLOOP-W03 Notebook
By Sunday you should be able to say: “I can say what fraction of 2,000 fermentation papers report each key parameter, and why that number is trustworthy.”
MOMENTUM
2026-09-29 18:29 Finished: SciPy docs, scipy.integrate.solve_ivp2026-09-29 17:44 Finished: LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"2026-09-28 22:11 Finished: Crash Course Biology #3 · "Biological Molecules2026-09-28 21:50 Finished: OpenStax Biology 2e2026-09-25 11:16 Finished: OpenStax Biology 2e