Metadata-Version: 2.1
Name: pystatslib
Version: 0.1.0
Summary: Python Statistics and Probability library
Home-page: https://github.com/maiabolko/AMS-595-Final-Project
Author: ['Michael Dobo', 'Michael Gannon', 'Maia Bolko', 'Nicole Messina']
License: MIT
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: matplotlib.pyplot
Requires-Dist: time
Requires-Dist: sympy
Requires-Dist: sys
Requires-Dist: math
Requires-Dist: mpl-toolkits.mplot3d

# PyStatslib

### Authors: Michael Dobo, Michael Gannon, Maia Bolko, Nicole Messina 

This python library is made up of 4 distinct classes: integration methods, 
continuous probability density functions, discrete probability density functions, 
and linear regression models. The library is designed to help students determine
the probability of any type of event using probability density functions.


### Installation Instructions:

In order to use the PyStatsLib, simply just type this command in your command prompt:

```
pip install pystatslib
```

Make sure that you have updated python, pip, and all necessary libraries to have the library download.

