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Item #:
66813048
Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition
Item #:
66813048
MAD 740
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What Stands Out
Practical Applications
Integrates real-world scenarios with hands-on projects, allowing users to apply simulation modeling concepts directly to decision-making processes for enhanced understanding and effectiveness.
Updated Content
The second edition includes the latest Python tools and libraries, ensuring readers access contemporary techniques and methodologies in simulation modeling for improved outcomes.
User-Friendly Approach
Designed for both beginners and experienced users, this book provides clear explanations and practical examples that simplify complex concepts in simulation modeling, making it accessible to a wide audience.
Product Details
| Publisher | Packt Publishing |
| Publication date | November 30, 2022 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 460 pages |
| ISBN-10 | 1804616885 |
| ISBN-13 | 978-1804616888 |
| Item Weight | 1.73 pounds (780 grams) |
| Dimensions | 7.5 x 1.04 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to build simulation models for data analysis and decision-making improvements.
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Operations Managers
Operations managers can enhance their problem-solving skills through simulation modeling techniques taught in the book.
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Students in STEM
Students pursuing science, technology, engineering, or mathematics will find practical applications of simulation modeling in this resource.
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Beginners in Python
Total beginners in Python may struggle with concepts and implementations detailed in the book without prior knowledge.
Product Description
Hands-On Simulation Modeling with Python: Develop simulation models for improved efficiency and precision in the decision-making process, 2nd Edition
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Intelligence & Semantics Editorial Review
Hands-On Simulation Modeling with Python is a valuable resource for anyone interested in developing simulation models for improved efficiency and precision in the decision-making process. The book provides a comprehensive guide to using Python for simulation modeling, covering various techniques and tools. The author's hands-on approach and clear explanations make it easy for readers to understand and apply the concepts. The book also includes numerous examples and case studies that offer practical insights and real-world applications. Overall, this 2nd edition is a must-read for professionals and students in fields such as operations research, supply chain management, and industrial engineering.
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Pros
- Comprehensive guide to using Python for simulation modeling
- Clear explanations and hands-on approach make it easy to understand
- Numerous examples and case studies for practical insights
- Suitable for professionals and students in various fields
Cons
- None mentioned in the review
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