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/cybersecurity/levenshtein_distance.md

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+---
+name: levenshtein_distance
+kind: function
+lang: py
+domain: cybersecurity
+version: "1.0.0"
+purity: pure
+signature: "def levenshtein_distance(a: str, b: str) -> int"
+description: "Calcula la distancia de Levenshtein (edit distance) entre dos strings. Util para deteccion de typosquatting en dominios."
+tags: [levenshtein, distance, fuzzy, typosquatting, python]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: []
+tested: false
+tests: []
+test_file_path: ""
+file_path: "python/functions/cybersecurity/cybersecurity.py"
+---
+
+## Ejemplo
+
+```python
+levenshtein_distance("google.com", "gooogle.com")
+# 1
+
+levenshtein_distance("paypal.com", "paypa1.com")
+# 1
+
+levenshtein_distance("abc", "abc")
+# 0
+```
+
+## Notas
+
+Implementacion O(n*m) con optimizacion de espacio (dos filas). Sin dependencias externas. Util para detectar dominios de typosquatting comparando contra dominios legitimos conocidos.