Hands-On Simulation Modeling with Python
Developers working with the simulation models will be able to put their knowledge to work with this practical guide. You will work with real-world data to uncover various patterns used in complex systems using Python. The book provides a hands-on approach to implementation and associated methodologies to improve or optimize systems.
Offered by
Difficulty Level
Intermediate
Completion Time
11h32m
Language
English
About Book
Who Is This Book For?
Hands-On Simulation Modeling with Python is for simulation developers and engineers, model designers, and anyone already familiar with the basic computational methods that are used to study the behavior of systems. This book will help you explore advanced simulation techniques such as Monte Carlo methods, statistical simulations, and much more using Python. Working knowledge of Python programming language is required.
Hands-On Simulation Modeling with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h32m total length
Introducing Simulation Models
Understanding Randomness and Random Numbers
Probability and Data Generating Processes
Exploring Monte Carlo Simulations
Simulation-Based Markov Decision Process
Resampling Methods
Using Simulations to Improve and Optimize Systems
Using Simulation Models for Financial Engineering
Simulating Physical Phenomena Using Neural Networks
Modeling and Simulation for Project Management
What's Next?
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