Pedagogical patterns for enriching notebooks (GameTheory model). Use when adding interpretations, structuring notebooks, or creating educational content in Jupyter notebooks.
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See how to installReview the instructions the agent will receive before you install.
# Series-N-Title
**Navigation** : [Index](README.md) | [<< Precedent](Series-N-1.ipynb) | [Suivant >>](Series-N+1.ipynb)
## Objectifs d'apprentissage
A la fin de ce notebook, vous saurez :
1. ...
2. ...
### Prerequis
- Python 3.10+ / .NET 9.0
- Cle API configuree (.env)
### Duree estimee : XX minutes
### Interpretation : [Concept Name]
**Sortie obtenue** : [Brief summary of output]
| Aspect | Valeur | Signification |
|--------|--------|---------------|
| ... | ... | ... |
**Points cles** :
1. ...
2. ...
> **Note technique** : [Detail if relevant]
cell_id (not index) for NotebookEdit insert reference| Domain | Key Terms |
|---|---|
| ML | accuracy, loss, epoch, overfitting, cross-validation |
| Probas/Infer | prior, posterior, distribution, inference, factor graph |
| GameTheory | Nash equilibrium, Shapley value, dominant strategy |
| SymbolicAI | satisfiability, resolution, proof, axiom, theorem |
| GenAI | prompt, tokens, embedding, fine-tuning, hallucination |
| Optimization | fitness, generation, mutation, crossover, convergence |
| Level | Code | Markdown | Visualizations |
|---|---|---|---|
| Intro | 35-40% | 55-60% | min 3 |
| Intermediate | 45-50% | 45-50% | min 4 |
| Advanced | 55-60% | 35-40% | min 2 |
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Cycle 30 min du secrétaire vérificateur myia-po-2026:CoursIA-3. Atteste en tiers, du plus ancien au plus récent, les PRs ouvertes sans dossier valide (chaque READY, une fois lu et approuvé par ai-01, est mergé sans attendre son cycle), et fait circuler l'information sur workspace-CoursIA-3.
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Analyze a Slidev deck qualitatively — organ reports (structure, composition) + vision AI on rendered PNGs. Arguments: <deck_id> [--slides 1,5,10]
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Build or improve Jupyter notebooks iteratively with quality scoring. Arguments: <new|improve|fix> <path> [--topic] [--domain] [--level] [--quality] [--max-iter]
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Detect cell-ordering / enchainement problems in Jupyter notebooks (canonical-order slippage, misplaced or forgotten cells). Arguments: [target] [--severity HIGH|MED|LOW] [--json]
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Clean up and reorganize markdown in enriched Jupyter notebooks. Arguments: [target] [--dry-run] [--aggressive] [--hierarchy-only]
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Cycle de coordination ai-01 (coordinateur UNIQUEMENT — jamais sur un worker). Lit memoire + dashboards + inbox + GitHub, merge les PRs pretes, tranche les design-gates, dispatche des grains par lane, reporte. Arguments: [--dispatch] [--focus <topic>]
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