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fn_registry/python/functions/cybersecurity/jaccard_similarity.md
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egutierrez eaed99e52c 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
2026-03-29 00:13:50 +01:00

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---
name: jaccard_similarity
kind: function
lang: py
domain: cybersecurity
version: "1.0.0"
purity: pure
signature: "def jaccard_similarity(a: list, b: list) -> float"
description: "Calcula el coeficiente de similitud de Jaccard entre dos listas. J(A,B) = |A interseccion B| / |A union B|."
tags: [jaccard, similarity, comparison, sets, 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
jaccard_similarity(["a", "b", "c"], ["b", "c", "d"])
# 0.5
jaccard_similarity(["a", "b"], ["a", "b"])
# 1.0
jaccard_similarity([], [])
# 0.0
```
## Notas
Convierte las listas a sets internamente. Retorna 0.0 si ambas listas son vacias. Util para comparar conjuntos de tokens, features de malware, IoCs compartidos entre muestras, o tags de vulnerabilidades.