PYTHON — Adding Final Touches in Python

Before software can be reusable it first has to be usable. — Ralph Johnson

Insights in this article were refined using prompt engineering methods.

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# Adding Final Touches to the Simulation

In this tutorial, you will learn how to add final touches to a simulation in Python using the SimPy library. By the end of this lesson, you will have a complete simulation that runs and prints the results to the terminal.

First, let’s define a main() function to collect user input, run the simulation, and print the results. We will also set a random seed to ensure reproducible results.

import simpy

def main():
    num_cashiers, num_servers, num_ushers = get_user_input()
    env = simpy.Environment()
    env.process(run_theater(env, num_cashiers, num_servers, num_ushers))
    env.run(until=90)
    mins, secs = calculate_wait_times(wait_times)
    print(f"Running simulation...\nThe average wait time is {mins} minutes and {secs} seconds")

if __name__ == '__main__':
    main()

In the code snippet above, we define the main() function, set up the simulation environment, run the simulation for 90 minutes, and calculate the average wait times. We then print the results to the terminal using f-string formatting.

To test the simulation, you can run the script with default parameters:

python simulate.py

After running the simulation, you should see the average wait time printed to the terminal. You can experiment with different parameters to optimize the wait times according to your simulation goals.

If you encounter issues with running the code in a specific environment like Colab, you may need to install the simpy module using the following shell command:

!pip install simpy

By following along with this tutorial, you should now have a complete simulation in Python using SimPy. You can further experiment with parameters and continue optimizing the simulation to achieve your desired outcomes.

In the next lesson, we will delve into experimenting with the simulation parameters to further refine the simulation process.

And that’s it for adding final touches to the simulation using Python and SimPy. Happy coding!

By following this tutorial, you can now have a complete simulation in Python using SimPy. You can further experiment with parameters and continue optimizing the simulation to achieve your desired outcomes.

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