SimPy
SimPy is a process-based discrete-event simulation framework for Python, used to model and simulate complex systems with discrete events over time. It allows developers to create simulation models by defining processes that interact with shared resources, such as queues, servers, or networks, making it ideal for analyzing performance, capacity, and behavior in fields like operations research, logistics, and computer systems. The library is built on Python's generators and coroutines to efficiently manage concurrent processes in a single-threaded environment.
Developers should learn SimPy when they need to simulate real-world systems with discrete events, such as manufacturing lines, traffic flow, call centers, or network protocols, to optimize performance or test scenarios without physical implementation. It is particularly useful in academic research, industrial engineering, and software development for prototyping and analyzing stochastic processes, resource allocation, and queuing theory, offering a lightweight and Pythonic alternative to heavy simulation tools.