Overview
- Explains mathematics, statistics, network theory, queuing theory, and Monte Carlo simulation, etc.
- Covers simulation in natural sciences, engineering, and social sciences
- Includes simulations selected from the top algorithms used in the industry today
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Simulation with Python
Book Subtitle: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences
Authors: Rongpeng Li, Aiichiro Nakano
DOI: https://doi.org/10.1007/978-1-4842-8185-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Rongpeng Li and Aiichiro Nakano 2022
Softcover ISBN: 978-1-4842-8184-0Published: 24 August 2022
eBook ISBN: 978-1-4842-8185-7Published: 23 August 2022
Edition Number: 1
Number of Pages: XV, 166
Number of Illustrations: 10 b/w illustrations, 80 illustrations in colour
Topics: Python, Data Structures and Information Theory, Artificial Intelligence, Professional Computing