eventsim 0.4.8

Various useful tools in simulating discrete system events based on outcome and probabilities

Description

eventsim makes discrete event easy to simulate

Currently, it consists of three modules: models, randgen and simevent

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

Simevent

contains methods for generating and estimating events that happens in a workplace scenario. Simulating events like:

• Interarrival time

• Service time

• Arrival time

• Time when service begins

• Time when service ends

• Wait time in queue

• Time customer spends in system

• Idle time of server

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

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.