This repository contains implementations of various probability laws using Python with matplotlib and numpy libraries. Currently, the implemented probability laws include:
- Poisson Distribution
- Binomial Distribution
- Normal Distribution
- Exponential Distribution
- Confidence Intervals Each implementation provides functionality to visualize the probability distributions and calculate relevant statistics using matplotlib and numpy.