In this course, you’ve learned how to build and run a simulation in Python using the simpy framework. You’ve come to understand how systems have agents undergo processes, and how you can create virtual representations of those systems to fortify them against congestion and delay. While the type of simulation can vary, the overall execution is the same! You’ll be able to apply what you’ve learned here to a variety of different scenarios.

Now you can:

Brainstorm a simulation algorithm step by step
Create a virtual environment in Python with simpy
Define functions that represent agents and processes
Change parameters of your simulation to find the optimal solution

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Sample Code (.zip)

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Course Slides (.pdf)

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Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.

00:00 Congratulations on completing this course on how to simulate processes using simpy. In this set of lessons, you learned how to set up your development environment, how to define a simulation, how to set up the simulation environment, how to define the processes within that environment, how to run those processes within the simulation, how to calculate metrics from the simulation, a few ways on how to select parameters for the simulation, and then finally, you were able to experiment with that simulation. simpy relies on understanding how to use yield and generators in Python, so with a solid understanding of those and how simpy works, you’re now free to try and model real-world processes with Python.

00:44 Some of these solutions can be very valuable in saving people time and money, so don’t be afraid to try new things out. You can make your simulations as simple or complex as needed.

00:55 And if you head to the simpy documentation, there’s a couple of examples of some different processes that you can simulate, so that might be a good way to get started in using simpy on your own.

01:06 Thanks for watching!

gregorypierce on Nov. 4, 2020

This was actually pretty cool. Maybe I’ll simulate a fast food restaurant :)

philipwong37 on March 21, 2021

If there are multiple queues to get food before sitting down, how do I model the shortest queue to get food?

foolishhugo on June 5, 2022

I want to explore applying these simulations to software development processes

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Simulating Real-World Processes in Python With SimPy (Summary)