Paperback
Explore simulation’s power through Python: theory, implementation, visualization, and real-world solutions.

Simulation with Python

Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

$81.65

  • Paperback

    166 pages

  • Release Date

    24 August 2022

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Summary

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. 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 exper…

Book Details

ISBN-13:9781484281840
ISBN-10:1484281845
Author:Rongpeng Li, Aiichiro Nakano
Publisher:APress
Imprint:APress
Format:Paperback
Number of Pages:166
Edition:1st
Release Date:24 August 2022
Weight:361g
Dimensions:178mm x 254mm
A-Format
B-Format
C-Format
Simulation with Python by Rongpeng Li - ISBN: 9781484281840
178 × 254 mm
A4
mm / in
About The Author

Rongpeng Li

Ron Li is a long-term and enthusiastic educator. He has been a researcher, data science instructor, and business intelligence engineer. Ron published a highly rated (4.5-star rating out of 5 on amazon) book titled Essential Statistics for Non-STEM Data Analysts. He has also authored/co-authored academic papers, taught (pro bono) data science to non-STEM professionals, and gives talks at conferences such as PyData.

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.

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