Simulation with Python

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

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Éditeur :

Apress

Paru le : 2022-08-23

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 algorith...
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À propos


Éditeur

Collection
n.c

Parution
2022-08-23

Pages
166 pages

EAN papier
9781484281840

Auteur(s) du livre


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.

Caractéristiques détaillées - droits

EAN PDF
9781484281857
Prix
56,19 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
7946 Ko
EAN EPUB
9781484281857
Prix
56,19 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
6257 Ko

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