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Libreria que contiene dos clases Una para realizar integrales por método de montecarlo y otra para realizar un ajuste de curva suavizado con el método de kernel gaussiano

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Biblioteca de Python para Integración Monte Carlo y Ajuste de Curva

Esta biblioteca proporciona dos clases para realizar dos tareas diferentes:

  1. Integral_montecarlo: Una clase que permite integrar funciones definidas en Sympy utilizando el método Monte Carlo. Puedes comparar los resultados con soluciones analíticas y realizar análisis de precisión.

  2. ajuste_curva: Una clase que te permite suavizar la curva de datos contenidos en un archivo CSV con columnas 'nuevos_casos' y 'fecha_actualizacion'. Esto es útil para analizar y visualizar tendencias en datos de casos.

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