Metadata-Version: 2.1
Name: probadg
Version: 0.0.1
Summary: Binomial and Gaussian objects
Home-page: https://github.com/Alejandro-Duenas/probadg
Author: Alejandro Duenas Garcia
Author-email: alejandro19971231@gmail.com
License: UNKNOWN
Description: # probadg Package
        
        
        This is a probability package that contains classes to create binomial and Gaussian distributions. It also contains a RandomObject class that simulates all the possible results of a binomial random variable, with their corresponding probabilities.
        
        Furthermore, it contains a function that simulates the Bayes Algorithm. 
        
        ## Installation:
        
        
        To install the package you could just use:
        
        `pip install probadg`
        
        ## Tools and Software Used
        
        
        + Numpy v.1.19.2
        + Matplotlib v.0.23.2
        + Math
        + Pandas v.1.1.3
        
        ## License
        
        This software is licensed under the [MIT](https://opensource.org/licenses/MIT) license. The license can be found in the `license.txt` file. 
        
        ## Acknoledgements
        
        This package was done under the guidance of [Udacity](udacity.com) Data Science Nano Degree. 
        
        Also, I would like to thank the free online education platforms [Coursera](https://www.coursera.org) and [Edx](https://www.edx.org), which helped me to get started in this path.  
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
