Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

Li, Rongpeng, Nakano, Aiichiro

  • 出版商: Apress
  • 出版日期: 2022-08-24
  • 售價: $1,990
  • 貴賓價: 9.5$1,891
  • 語言: 英文
  • 頁數: 200
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484281845
  • ISBN-13: 9781484281840
  • 相關分類: Python程式語言
  • 海外代購書籍(需單獨結帳)


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 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 Will 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.


- 使用Python和數值計算來展示模擬的威力
- 選擇一種範式來執行模擬
- 從數值實驗中獲取統計洞察力
- 了解模擬如何解決現實世界的問題


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.


Ron Li是一位長期且熱情的教育工作者。他曾擔任研究員、資料科學講師和商業智能工程師。Ron出版了一本評價很高(亞馬遜評分為5分中的4.5分)的書籍,名為《非STEM數據分析師的基礎統計學》。他還撰寫/合著了學術論文,免費教授非STEM專業人士資料科學,並在PyData等會議上發表演講。

Aiichiro Nakano是南加州大學計算機科學系的教授,並兼任物理與天文學、化學工程與材料科學、生物科學以及高級計算和模擬合作實驗室的職位。他於1989年在日本東京大學獲得物理學博士學位。他在可擴展科學算法、大數據可視化和分析以及計算材料科學領域發表了360多篇經過同行評審的文章。