Understanding the basics of Monte Carlo methods and discrete event simulation.
A collection of Python scripts ( .py files) or Jupyter Notebooks ( .ipynb ) corresponding to each chapter so you can run the simulations yourself.
This guide focuses on using Python to build mathematical models that simulate real-world scenarios. It covers everything from basic probability to complex artificial intelligence applications in simulation.
Understanding the basics of Monte Carlo methods and discrete event simulation.
A collection of Python scripts ( .py files) or Jupyter Notebooks ( .ipynb ) corresponding to each chapter so you can run the simulations yourself.
This guide focuses on using Python to build mathematical models that simulate real-world scenarios. It covers everything from basic probability to complex artificial intelligence applications in simulation.
