Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict their performance in the real world. With this comprehensive guide, you'll understand various computational statistical simulations using Python.
**This review focuses on the 2nd edition but in the following I provide links to both editions and in the video the book picture should be the 2nd edition.**
✅Gain an overview of the different types of simulation models
✅Get to grips with the concepts of randomness and data generation process
✅Understand how to work with discrete and continuous distributions
✅Work with Monte Carlo simulations to calculate a definite integra
2nd Edition:
✅Amazon: https://www.amazon.com/Hands-Simulati...
✅Packt: https://www.packtpub.com/product/hand...
✅Github: https://github.com/PacktPublishing/Ha...
1st Edition:
✅Amazon: https://www.amazon.com/Hands-Simulati...
✅Packt: https://www.packtpub.com/product/hand...
✅Github: https://github.com/packtpublishing/ha...
PS. I was sent a copy of the book to review. Other than this, I have not received any monetary incentives to do this video and it is my creation only. Hence, the video focuses on how I use the book instead of a general content-wise book review.
Enjoy and welcome to subscribe!
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