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SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

A Python library for building and analyzing bounded process-based discrete-event simulations. Supports events, resources, interrupts, and monitoring for modeling queues, logistics, and service operations with reproducible output analysis and validation.