feat: funciones Python datascience, finance, cybersecurity y pipelines

Datascience: aggregate_by_group, deduplicate_entities/relations, detect_drift,
diff_entities/relations, extract_entities/relations_llm, hotness_score, melt,
merge_graphs, pivot, build_entity/relation_schema_prompt.
Finance: avellaneda_stoikov_quotes, generate_gbm_prices, generate_taker_order,
hawkes_intensity + módulo finance.py.
Cybersecurity: envelope_encrypt/decrypt + módulo cybersecurity.py.
Pipelines: extraction_pipeline, monte_carlo_market, run_market_sim.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

python/functions/datascience/diff_entities.md

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+---
+name: diff_entities
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: pure
+signature: "def diff_entities(before: list[dict], after: list[dict], key: str = 'id', ignore_fields: list[str] | None = None, compare_fields: list[str] | None = None) -> dict"
+description: "Compara dos snapshots de entities y devuelve diferencias campo a campo. Detecta añadidas, eliminadas, modificadas e inalteradas. Ignora created_at y updated_at por defecto."
+tags: [diff, entities, snapshot, operations, comparison, datascience]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: []
+tested: true
+tests:
+  - "entity añadida"
+  - "entity eliminada"
+  - "entity modificada con detalle de campos"
+  - "entities identicas → unchanged"
+  - "ignore_fields funciona"
+  - "compare_fields filtra correctamente"
+  - "lista vacia vs lista con datos"
+test_file_path: "python/functions/datascience/diff_entities_test.py"
+file_path: "python/functions/datascience/diff_entities.py"
+---
+
+## Ejemplo
+
+```python
+before = [
+    {"id": "1", "name": "Alice", "status": "active", "updated_at": "2024-01-01"},
+    {"id": "2", "name": "Bob", "status": "active", "updated_at": "2024-01-01"},
+]
+after = [
+    {"id": "1", "name": "Alice", "status": "inactive", "updated_at": "2024-01-02"},
+    {"id": "3", "name": "Carol", "status": "active", "updated_at": "2024-01-02"},
+]
+
+result = diff_entities(before, after)
+# result["added"]    -> [{"id": "3", "name": "Carol", ...}]
+# result["removed"]  -> [{"id": "2", "name": "Bob", ...}]
+# result["modified"] -> [{"key": "1", "changes": {"status": {"old": "active", "new": "inactive"}}}]
+# result["unchanged"] -> 0
+# result["summary"]  -> "1 added, 1 removed, 1 modified, 0 unchanged"
+```
+
+## Notas
+
+Funcion pura. No hace I/O — toma listas de dicts ya cargadas en memoria.
+
+El campo `key` debe existir en todas las entities; las que no lo tengan se ignoran silenciosamente.
+
+Si `compare_fields` se da, tiene prioridad sobre `ignore_fields`. Esto permite comparar solo un subconjunto especifico de campos sin preocuparse por los campos temporales.
+
+El orden de `added` y `removed` no esta garantizado (depende del orden de iteracion de sets).