Editing SimPy (section)

== Overview ==
Its event dispatcher is based on Python's generators and can be used for asynchronous networking or to implement multi-agent systems (with both, simulated and real communication). Simulations can be performed “as fast as possible”, in real time (wall clock time) or by manually stepping through the events. Though it is theoretically possible to do continuous simulations with SimPy, it lacks features to support them. However, for simulations with a fixed step size where processes don't interact with each other or with shared resources, a simple <code>while</code> loop is sufficient.<ref>{{Cite journal |last1=Olaitan |first1=Oladipupo |last2=Geraghty |first2=John |last3=Young |first3=Paul |last4=Dagkakis |first4=Georgios |last5=Heavey |first5=Cathal |last6=Bayer |first6=Martin |last7=Perrin |first7=Jerome |last8=Robin |first8=Sebastien |date=2014-01-01 |title=Implementing ManPy, a Semantic-free Open-source Discrete Event Simulation Package, in a Job Shop |journal=Procedia CIRP |volume=25 |pages=253–260 |doi=10.1016/j.procir.2014.10.036 |issn=2212-8271|doi-access=free }}</ref>

Additionally, SimPy provides different types of shared resources to simulate congestion points that have limited capacity, such as servers, checkout counters, and tunnels. In version 3.1 and above, SimPy offers monitoring capabilities to assist in collecting statistics about processes and resources.

SimPy 3.0 requires Python 3.,<ref>{{Cite web |title=SimPy History & Change Log — SimPy 4.0.2.dev1+g2973dbe documentation |url=https://simpy.readthedocs.io/en/latest/about/history.html}}</ref> while SimPy 4.0 requires Python 3.6+. SimPy distribution contains tutorials,<ref>{{cite journal |last1=Zinoviev |first1=Dmitry |date=February 2018 |title=Discrete Event Simulation. It's Easy with SimPy! |journal=PragPub |issue=104 |pages=1–16}}</ref> documentation, and examples.