Metadata-Version: 1.1
Name: eventsim
Version: 0.4.7
Summary: Various useful tools in simulating discrete system events based on outcome and probabilities
Home-page: http://bitbucket.org/tushortz/eventsim
Author: Taiwo Kareem
Author-email: taiwo.kareem36@gmail.com
License: UNKNOWN
Description: 
        Description
        ------------
        
        eventsim makes discrete event easy to simulate
        
        Currently, it consists of two modules:
        models and randgen
        
        Modules
        -------
        
        MODELS
        ------
        
        contains methods for simplifying and calculating:
        probability,
        estimated variance,
        estimated mean,
        estimated standard deviation,
        expectation value,
        discreteEmp
        
        most of its methods takes in two arguments, outcome and cummulative probability and a third optional argument which is how many times an item should be generated or times to be calculated.
        
        RANDGEN
        -------
        
        contains methods for simplifying and generating a:
        random outcome,
        a unique outcome
        times of occurrence of outcome
        probability of occurrence
        cummulative probability of occurrence
        
        help on using this package is included in the installation file or alternatively call
        
        manual(modulename) after importing the package to view how to use it
        
        
        another module coming soon aimed at generating a real life event simulation scenario in workplace 
        
        
        For more help information please read the help notes provided in the package
        	
        
        Requirements
        ------------
        
        * Any version of python
        
        Acknowledgements
        ----------------
        
        I was inspired to write this package after my university coursework demanded using python to simulate events. I hope Modelling and Simulation students find it useful
        
        All glory belongs to God for helping me in completing my first module.
        
        
Keywords: Discrete event simulation tools
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Other Audience
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
