Various useful tools in simulating discrete system events based on outcome and probabilities
Project 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 manual
or use: 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.
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