simpy

1# SimPy - Discrete-Event Simulation
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3## Overview
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5SimPy is a process-based discrete-event simulation framework based on standard Python. Use SimPy to model systems where entities (customers, vehicles, packets, etc.) interact with each other and compete for shared resources (servers, machines, bandwidth, etc.) over time.
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7**Core capabilities:**
8- Process modeling using Python generator functions
9- Shared resource management (servers, containers, stores)
10- Event-driven scheduling and synchronization
11- Real-time simulations synchronized with wall-clock time
12- Comprehensive monitoring and data collection
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14## When to Use This Skill
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16Use the SimPy skill when:
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181. **Modeling discrete-event systems** - Systems where events occur at irregular intervals
192. **Resource contention** - Entities compete for limited resources (servers, machines, staff)
203. **Queue analysis** - Studying waiting lines, service times, and throughput
214. **Process optimization** - Analyzing manufacturing, logistics, or service processes
225. **Network simulation** - Packet routing, bandwidth allocation, latency analysis
236. **Capacity planning** - Determining optimal resource levels for desired performance
247. **System validation** - Testing system behavior before implementation
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26**Not suitable for:**
27- Continuous simulations with fixed time steps (consider SciPy ODE solvers)
28- Independent processes without resource sharing
29- Pure mathematical optimization (consider SciPy optimize)
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31## Quick Start
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