Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Eng

Description: Simulation with Python by Rongpeng Li, Aiichiro Nakano Intermediate-Advanced user level FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 Youll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-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. Back Cover 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 Author Biography 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. Table of Contents Chapter 1: Calculating Pi and Beyond: Searching Order in Disorder with Simulation.- Chapter 2: Markov Chain: A Peek into the Future.Chapter 3: Multi-Armed Bandits: Probability Simulation and Bayesian Statistics.- Chapter 4: Balls in 2D Box: A Simplest Physics Engine.- Chapter 5: Percolation: Threshold and Phase Change.- Chapter 6: Queuing System: How Stock Trades are Made.- Chapter 7: Rock, Scissor and Paper: Multi-Agent Simulation.- Chapter 8: Matthew Effect and Tax Policy: Why the Rich Keeps Getting Richer.- Chapter 9: Misinformation Spreading: Simulation on a Graph (Centrality, Networkx).- Chapter 10: Simulated Annealing and Genetic Algorithm. Feature 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 Details ISBN1484281845 Author Aiichiro Nakano Short Title Simulation with Python Language English Year 2022 ISBN-10 1484281845 ISBN-13 9781484281840 Format Paperback Subtitle Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences Publisher APress Edition 1st Imprint APress Place of Publication Berkley Country of Publication United States Pages 166 Illustrations 80 Illustrations, color; 10 Illustrations, black and white; XV, 166 p. 90 illus., 80 illus. in color. Publication Date 2022-08-24 AU Release Date 2022-08-24 NZ Release Date 2022-08-24 US Release Date 2022-08-24 UK Release Date 2022-08-24 Edited by Christopher E. Swide Birth 1974 Affiliation European University Viadrina, Germany Position journalist Qualifications Ph.D. Edition Description 1st ed. Alternative 9781484291443 DEWEY 300.113 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:136654885;

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