A Student's Guide to Python for Physical Modeling (Paperback)

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Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: * Basic Python programming and scripting* Numerical arrays* Two- and three-dimensional graphics* Monte Carlo simulations* Numerical methods, including solving ordinary differential equations* Image processing* Animation Numerous code samples and exercises--with solutions--illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more.

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Product Description

Python is a computer programming language that is rapidly gaining popularity throughout the sciences. A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including: * Basic Python programming and scripting* Numerical arrays* Two- and three-dimensional graphics* Monte Carlo simulations* Numerical methods, including solving ordinary differential equations* Image processing* Animation Numerous code samples and exercises--with solutions--illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more.

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Product Details

General

Imprint

Princeton University Press

Country of origin

United States

Release date

September 2015

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2016

Authors

,

Dimensions

254 x 203 x 11mm (L x W x T)

Format

Paperback - Trade

Pages

160

ISBN-13

978-0-691-17050-3

Barcode

9780691170503

Categories

LSN

0-691-17050-9



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