SimPy is a process-based discrete-event simulation framework based on Python. It allows you to model real-world systems and their interactions, and to analyze the behavior of those systems over time.
Here's a basic example of how to use SimPy in Python:
print("Process executed at time %d" % env.now)
env = simpy.Environment()
process function that simply prints a message and waits for one time unit (e.g., one second) before repeating. We then create a simulation environment using
simpy.Environment, and create a process using
env.process. Finally, we run the simulation using
env.run and specify that we want it to run until time 5.
This is just a basic example to get you started with SimPy. The library provides a wide range of features and capabilities, including resource management, event scheduling, and more, that you can use to model complex systems and analyze their behavior.
- Here's a basic example of how to use SimPy in Python
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