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 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: generating a:
random outcome, a unique outcome times of occurrence of outcome probability of occurrence cummulative probability of occurrence
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.