Simulation In Python: Modeling And

Provides the "solvers." It contains modules for integration ( scipy.integrate ), optimization, and statistics—essential for solving the differential equations that govern most models.

You define "processes" (like a customer) and "resources" (like a teller). SimPy manages a central clock and schedules events based on when processes interact with resources. Agent-Based Modeling (ABM) Modeling and simulation in Python

You define an agent class with specific rules and a "space" (like a grid). Every step of the simulation, each agent observes its surroundings and acts according to its logic. Stochastic & Monte Carlo Simulation Provides the "solvers