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455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES

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Every video, chapter, paper and repository in the programme, as one card each, with the time it costs and why it is there. Filter by how long you have.

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Type Watch Read Run Track Biology AI & stats Build Craft Depth Core Optional Time ≤15 ≤30 ≤60 Week This week Clear all

5 cards shown. Stashes: LABLOOP-W00 Notebook (15) LABLOOP-W01 Notebook (18) LABLOOP-W02 Notebook (15) LABLOOP-W03 Notebook (19) LABLOOP-W04 Notebook (17) LABLOOP-W05 Notebook (16) LABLOOP-W06 Notebook (12) LABLOOP-W07 Notebook (12) LABLOOP-W08 Notebook (15) LABLOOP-W09 Notebook (10) LABLOOP-W10 Notebook (11) LABLOOP-W11 Notebook (12) LABLOOP-W12 Notebook (12) LABLOOP-W13 Notebook (13) LABLOOP-W14 Notebook (12) LABLOOP-W15 Notebook (10) LABLOOP-W16 Notebook (14) LABLOOP-W17 Notebook (13) LABLOOP-W18 Notebook (10) LABLOOP-W19 Notebook (10) LABLOOP-W20 Notebook (10) LABLOOP-W21 Notebook (13) LABLOOP-W22 Notebook (10) LABLOOP-W23 Notebook (9) LABLOOP-W24 Notebook (9) LABLOOP-W25 Notebook (12) LABLOOP-W26 Notebook (11) LABLOOP-W27 Notebook (10) LABLOOP-W28 Notebook (6) LABLOOP-W29 Notebook (7) LABLOOP-W30 Notebook (10) LABLOOP-W31 Notebook (8) LABLOOP-W32 Notebook (5) LABLOOP-W33 Notebook (13) LABLOOP-W34 Notebook (12) LABLOOP-W35 Notebook (10) LABLOOP-W36 Notebook (8) LABLOOP-W37 Notebook (7) LABLOOP-W38 Notebook (6) LABLOOP-W39 Notebook (6) LABLOOP-W40 Notebook (6)

12/16 Run 30 min W05 Build

J535D165/pyalex

Query OpenAlex for works on "fed-batch fermentation titer" per year; plot counts. Tells you the size of the ocean before you fish

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In: LABLOOP-W05 Notebook

13/16 Run 30 min W05 Build

danielnsilva/semanticscholar

Search Semantic Scholar for "literature-derived fermentation dataset"; save the top 20 to RELATED.md with citation counts

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In: LABLOOP-W05 Notebook

14/16 Run 30 min W05 Build

titipata/pubmed_parser

Parse one PMC OA XML into title, abstract, methods paragraphs; this becomes corpus/parse.py

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In: LABLOOP-W05 Notebook

15/16 Run 30 min W05 Build

google/langextract

Read the README and run the quickstart example: extraction with source grounding (every value mapped to its exact span). This is the provenance idea FermLit needs, already implemented

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In: LABLOOP-W05 Notebook

16/16 Run 30 min W05 Build

intro-stat-learning/ISLP_labs

Colab: Ch08-baggboost-lab.ipynb (trees and boosting)

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In: LABLOOP-W05 Notebook

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