I have a basic simpy question. I have created a basic simulation and now want to run it many times to get a distribution of possible values. Is there a more efficient way to do this than to run the script multiple times? Is there a way to reset the environment to the initial state and rerun that way, without having to load in all external classes and other setup for every single run?
Should I put the entire simulation in a for loop and collect data this way, or is the recommended approach to run the script multiple times from outside of python and append to some data cache?
Put all your simulation setup (environment creation, resources, processes, …) into a single function and map it to a process pool (see https://docs.python.org/3/library/multiprocessing.html).