🚀 SimPy: discrete-event simulation in Python to model complex systems#
SimPy is a discrete-event simulation framework built on Python that allows modeling processes like customers, vehicles, agents, or any entity that interacts over time.
Ideal for understanding how a system flows, detecting bottlenecks, and experimenting without risks.
🔍 Why it’s interesting?#
- 🧩 Model processes using Python generator functions.
- ⏱️ Simulate the passage of time in a controlled way.
- 🛠️ Includes shared resources to represent queues, servers, or congestion points.
- ⚡ Allows running simulations as fast as the machine permits or step by step.
🧠 In short#
Imagine you want to simulate how a shop works: customers entering, queuing, being served, and leaving.
SimPy lets you create a small virtual world where you define these behaviors and observe what happens under different scenarios.
It’s like having a digital lab to test ideas without affecting reality.
More information at the link 👇
Also published on LinkedIn.
