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
- Define functions that represent agents and processes
- Change parameters of your simulation to find the optimal solution
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.