Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition 2nd ed. Edition by Giuseppe Ciaburro (Author)

Hands-On Simulation Modeling with Python (2nd Edition)

Author: Giuseppe Ciaburro 
Binding: Paperback
Paper Quality: Premium imported (for original print) / Standard offset (for local reprint)
Category: Simulation, Data Science, Python Programming
Recommended For:
BS/BSCS, MSc Data Science, Industrial Engineering, Business Analytics, Operations Research students, and professionals involved in decision-making, system design, and process improvement.

Key Points:

1. Practical Simulation Using Python
   Learn how to develop, run, and analyze simulation models using Python’s powerful libraries, such as SimPy, NumPy, Pandas, and Matplotlib.

2. Focus on Real-World Applications
   Examples are drawn from logistics, manufacturing, service industries, finance, and healthcare, making the book ideal for solving real decision-making problems.

3. Covers Discrete Event and Monte Carlo Simulation
   Step-by-step guidance on modeling randomness, system queues, probabilistic outcomes, and process delays—all implemented in Python.

4. Enhanced for the 2nd Edition
   Updated with new projects, more robust code, and expanded explanations on visualization and statistical validation of simulation outputs.

5. For Beginners and Experienced Developers
   Suitable for students with basic Python knowledge, while also helping professionals scale their modeling capabilities.

6. Helps Build Career-Oriented Skills
   Strengthens skills applicable in data-driven decision-making, process optimization, and operations analysis.