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)
To visualize your results. A simulation isn't very helpful if you can't see the trends or state changes over time. 2. Types of Modeling Approaches Continuous Simulation (Differential Equations) Modeling and simulation in Python
Unlike "black box" simulation software, Python gives you total control over the underlying logic and math. 4. Common Challenges You define "processes" (like a customer) and "resources"
Used to model uncertainty by running the same simulation thousands of times with random inputs to see the range of possible outcomes. numpy.random or PyMC (for Bayesian modeling). A simulation isn't very helpful if you can't
You can easily feed simulation data into a machine learning model (using Scikit-learn) or a data analysis pipeline (using Pandas).
Used to simulate the actions and interactions of autonomous individuals (agents) to see how they affect the whole system (e.g., disease spread, flocking birds, or market dynamics). Mesa .