Master Simulation in Python with our Series of Online Courses

The "Minimum Viable Education" for Simulation: Unpacking the "What" and "Why" of Discrete-Event Simulation and Exploring Other Paradigms. We’ll introduce you to the SimPy library and delve into its core capabilities.

Includes Everything You Need for Robust Industry Application: From modelling real-world problems before simulation, to analysing simulation data, visualising results, and mastering the art of handling uncertainty.

Dive into Advanced Topics: Optimisation with simulation, surrogate modelling, advanced visualisation and animation, design patterns, automated testing, and seamless integration with large language models.