Wow! eBook
Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences 1st ed. Edition
Author(s): Rongpeng Li (Author), Aiichiro Nakano (Author)
- Publisher: Apress
- Publication Date: 24 Aug. 2022
- Edition: 1st ed.
- Language: English
- Print length: 181 pages
- ISBN-10: 1484281845
- ISBN-13: 9781484281840
Book Description
The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated.
After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You’ll Learn
- Use Python and numerical computation to demonstrate the power of simulation
- Choose a paradigm to run a simulation
- Draw statistical insights from numerical experiments
- Know how simulation is used to solve real-world problems
Who This Book Is For
Entry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.
Editorial Reviews
From the Back Cover
The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated.
After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.
You will:
- Use Python and numerical computation to demonstrate the power of simulation
- Choose a paradigm to run a simulation
- Draw statistical insights from numerical experiments
- Know how simulation is used to solve real-world problems
About the Author
Aiichiro Nakano is a Professor of Computer Science with joint appointments in Physics & Astronomy, Chemical Engineering & Materials Science, Biological Sciences, and at the Collaboratory for Advanced Computing and Simulations at the University of Southern California. He received a PhD in physics from the University of Tokyo, Japan, in 1989. He has authored more than 360 refereed articles in the areas of scalable scientific algorithms, massive data visualization and analysis, and computational materials science.
