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/cybersecurity/__init__.py

@@ -9,6 +9,8 @@ from .cybersecurity import (
     levenshtein_distance,
     jaccard_similarity,
     normalize_url,
+    envelope_encrypt,
+    envelope_decrypt,
 )
 
 __all__ = [
@@ -22,4 +24,6 @@ __all__ = [
     "levenshtein_distance",
     "jaccard_similarity",
     "normalize_url",
+    "envelope_encrypt",
+    "envelope_decrypt",
 ]