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/finance/annualized_volatility.md

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+---
+name: annualized_volatility
+kind: function
+lang: py
+domain: finance
+version: "1.0.0"
+purity: pure
+signature: "def annualized_volatility(returns: list, periods_per_year: float) -> float"
+description: "Calcula la volatilidad anualizada de una serie de retornos."
+tags: [finance, volatility, risk, python]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: [math]
+tested: false
+tests: []
+test_file_path: ""
+file_path: "python/functions/finance/finance.py"
+---
+
+## Ejemplo
+
+```python
+daily_returns = [0.01, -0.005, 0.008, 0.003, -0.002, 0.006, 0.004]
+vol = annualized_volatility(daily_returns, 252.0)
+# Volatilidad anualizada (std * sqrt(252))
+```
+
+## Notas
+
+Formula: std_muestral(returns) * sqrt(periods_per_year).
+Usa desviacion estandar muestral (n-1) para ser consistente con la practica financiera.
+Retorna 0.0 si hay menos de 2 retornos o periods_per_year es menor o igual a cero.