Metadata-Version: 2.1
Name: distributions_by_rrod
Version: 0.1
Summary: Gaussian and Binomial distributions
Home-page: UNKNOWN
Author: R. Rodriguez
License: UNKNOWN
Description: 		### Gaussian Distribution
        		This package contains 3 main python files. GeneralDistribution,Gaussiandistribution and BinomialDistribution
        		- General Distribution:
                    The Generic distribution class is for calculating and visualizing a probability distribution.
                    Also there is a function called read_data_file that reads in data from a txt file. The txt file should have
                    one number (float) per line. The numbers are stored in the data attribute. Currently using numbers.txt as an example
                - Gaussian Distribution:
                    The Gaussian distribution class for calculating and visualizing a Gaussian distribution.
        		- Binomial Distribution:
        		    The Binomial distribution class for calculating and visualizing a Binomial distribution.
        		
        		## Getting Started
        		
        		pip install distributions_by_rr
        		
        		
        		These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
        		Prerequisites
        		
        		please see requirements.txt
        	
        	
        		## Running the tests
        		
        		tests.py is located in the tests folder. To run it:
        		
        		cd topackage
        		python -m unittest test
        		
        		
        		##Contributing
        		Please submit pull requests
        
        		
        		##Authors
        		RabiaR
        
        		
        		
        		## License
        		This project is licensed under the MIT License - see the LICENSE.md file for details
        		Acknowledgments
        			§ Hat tip to anyone whose code was used
        			§ Inspiration
        			§ etc
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
