WEEK 11 · DATASET ENGINEERING AND THE REPORTING FINDING

Do one thing.
Then you are ahead.

Anyone who has merged two companies' ERP systems knows the pain: one reports revenue in thousands, the other in units; one calls a customer "Bioceres S.A.", the other "BIOCERES". Data engineering is 80% of a merger and 80% of a dataset. This week FermLit gets its merger treatment: units normalised (g/L vs mg/L), organism names mapped to NCBI taxonomy IDs (so "Y. lipolytica" and "Yarrowia lipolytica Po1f" become the …

If you only do one thing this week: normalized dataset export

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THE NEXT BLOCK

How long have you got?

10 min 25 min 50 min 90 min 12 of 12 cards still open in week 11 · 11 finished overall

4/13 Watch 15 min? W17 Saturday Sandbox optional

Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering"

Saturday sandbox

Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering", Nature Methods 16:687-694. The classic review; read it before week 21

Find it ↗ search

In: LABLOOP-W17 Notebook

↻ Something else See everything in week 11 →

By Sunday you should be able to say: “I can explain why kLa limits scale-up, and I can show a dataset card that answers a stranger's questions before they ask.”

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MOMENTUM

What you have actually done

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Time on the timer, day by day last 14 days

2026-09-29 18:29 Finished: SciPy docs, scipy.integrate.solve_ivp
2026-09-29 17:44 Finished: LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"
2026-09-28 22:11 Finished: Crash Course Biology #3 · "Biological Molecules
2026-09-28 21:50 Finished: OpenStax Biology 2e
2026-09-25 11:16 Finished: OpenStax Biology 2e