Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
LinkBasket
 
Modeling and Simulation in Python: Use Computation to Predict and Explain the World
网址居 (LinkBasket) - 全球各国中英文新闻网站导航!.
  • Title: Modeling and Simulation in Python: Use Computation to Predict and Explain the World
  • Author(s) Allen B. Downey
  • Publisher: No Starch Press (April 2023); Green Tea Press; eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-SA 4.0
  • Hardcover/Paperback: 264 pages
  • eBook: PDF (247 pages) and Jupyter Notebooks
  • Language: English
  • ISBN-10: 1718502168
  • ISBN-13: 978-1718502161
  • Share This:  

Book Description

This book is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems.

Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions.

Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.

Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag.

Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in.

About the Authors
  • Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • A Gentle Introduction to Numerical Simulations with Python

    This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.

  • Modeling Creativity - Case Studies in Python (Tom De Smedt)

    This book is to model creativity using computational approaches in Python. The aim is to construct computer models that exhibit creativity in an artistic context, that is, that are capable of generating or evaluating an artwork (visual or linguistic), etc.

  • Computational Physics with Python (Eric Ayars)

    This book provides an unusually broad survey of the topics of modern computational physics. Its philosophy is rooted in learning by doing, with new scientific materials as well as with the Python programming language.

  • Physical Modeling in MATLAB (Allen B. Downey)

    Written for beginners, this book provides an introduction to programming in MATLAB and simulation of physical systems. you will learn some programming, some modeling, and some simulation.

  • Modelling and Simulation for Big Data Applications

    Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations.

  • The Nature of Code: Simulating Natural Systems with Processing

    A range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results, using Processing.

  • Mathematical Modeling of the Human Brain

    The book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs, covers the basics of magnetic resonance imaging and quickly proceed to generating first FEniCS brain meshes from T1-weighted images.

Book Categories
:
Other Categories
Resources and Links