Gaussian_Distribution_Python_Package

This project is a part of Udacity's AWS Machine Learning Foundations Course.

In this repo, I developed a python package (How exciting is that!) that is used for analyzing both gaussian and binomial distributions (How not so exciting is that!) .

You can use the package to:

1)Read a dataset

2)Calculate mean

3)Calculate standard deviation

4)Plot histogram

5)Plot propability density function

6)Add two distributions together

The main goal of this assignment is to develop object-oriented programming skills with python, including:

• procedural vs object-oriented programming
• classes, objects, methods and attributes
• coding a class
• magic methods
• inheritance

Example usage:

from RG-distributions import Gaussian

gaussian_one = Gaussian(25, 2)

gaussian_one.mean

gaussian_one + gaussian_one

(You can find a detailed description of each function's usage in the following files: Gaussiandistribution.py and Binomiladistribution.py inside the RG_distributions directory)

Package URL: https://pypi.org/project/RG-distributions/0.1/