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

Li, Rongpeng; Nakano, Aiichiro

 
9781484281840: Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences
Tapa blanda
ISBN 10: 1484281845 ISBN 13: 9781484281840
Editorial: Apress, 2022

Sinopsis

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’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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.


De la contraportada

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.

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 


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1484281845
ISBN 13 
9781484281840
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
184
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781484281864: Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

Edición Destacada

ISBN 10:  1484281861 ISBN 13:  9781484281864
Editorial: Apress, 2022
Tapa blanda