feat: funciones Python para core, cybersecurity, datascience y finance

Agrega funciones Python reutilizables organizadas por dominio:
- core: composicion funcional (pipe, compose, map, filter, reduce, etc.)
- cybersecurity: analisis de amenazas y puertos
- datascience: estadisticas y deteccion de outliers
- finance: indicadores tecnicos y analisis financiero

python/functions/datascience/detect_outliers.md

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+---
+name: detect_outliers
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: pure
+signature: "def detect_outliers(data: list, threshold: float) -> list"
+description: "Detecta outliers por z-score. Retorna lista de bools, True donde |z-score| > threshold."
+tags: [statistics, outliers, python]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: [math]
+tested: false
+tests: []
+test_file_path: ""
+file_path: "python/functions/datascience/datascience.py"
+---
+
+## Ejemplo
+
+```python
+detect_outliers([1, 2, 3, 100, 2, 3], 2.0)
+# [False, False, False, True, False, False]
+```
+
+## Notas
+
+Usa z-score poblacional. Threshold tipico: 2.0 o 3.0. Si la desviacion es cero, no hay outliers.