Textbook:Monte Carlo with Python
Author(s): Van Der Post, Hayden

Contents
Chapter 1: Introduction to Monte Carlo Methods
Chapter 2: Essential Python for Simulations
Chapter 3: Probability and Statistics Review
Chapter 4: Random Number Generation
Chapter 5: Designing and Implementing Monte Carlo Simulations
Chapter 6 Variance Reduction Techniques
Chapter 7: Monte Carlo in Finance
Chapter 8: Monte Carlo in Insurance
Chapter 9: Advanced Monte Carlo Techniques for Physics
Chapter 10: Monte Carlo in Healthcare and Biology
Concluding Projects and Continuing Education
Additional Resources