书目名称 | Simulation with Python | 副标题 | Develop Simulation a | 编辑 | Rongpeng Li,Aiichiro Nakano | 视频video | | 概述 | Explains mathematics, statistics, network theory, queuing theory, and Monte Carlo simulation, etc..Covers simulation in natural sciences, engineering, and social sciences.Includes simulations selected | 图书封面 |  | 描述 | 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 a | 出版日期 | Book 2022 | 关键词 | Python; Numerical Simulation; Numerical Calculation; Network Theory; Computer Simulation; Scientific Comp | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-8185-7 | isbn_softcover | 978-1-4842-8184-0 | isbn_ebook | 978-1-4842-8185-7 | copyright | Rongpeng Li and Aiichiro Nakano 2022 |
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