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A student's guide to Python for physical modeling / Jesse M. Kinder and Philip Nelson.

By: Contributor(s): Material type: TextTextLanguage: English Description: xiii, 139 pages ; 27 cmISBN:
  • 9780691170503
  • 9780691169583
  • 9780691170503
Other title:
  • Python for physical modeling
Subject(s): DDC classification:
  • 005.133 23 KIN
Contents:
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.
Getting started with Python -- Structure and control -- Data in, results out -- First computer lab -- More Python constructions -- Second computer lab -- Still more techniques -- Third computer lab.
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 005.133 KIN (Browse shelf(Opens below)) Checked out to Ravindran P (PA1803) Transferred to Dr.P.Ravindran 20/05/2020 31121

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.

Getting started with Python -- Structure and control -- Data in, results out -- First computer lab -- More Python constructions -- Second computer lab -- Still more techniques -- Third computer lab.

Includes bibliographical references (pages 133-134) and index.

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