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      A Student’s Guide to Python for Physical Modeling: Second Edition

      2 in stock

      Firm sale: non returnable item
      SKU 9780691223650 Categories ,
      A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the stu...

      £22.00

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      Description

      Product ID:9780691223650
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:A Student's Guide to Python for Physical Modeling
      Subtitle:Second Edition
      Authors:Author: Jesse M. Kinder, Philip Nelson
      Page Count:240
      Subjects:Physics, Physics, Computer programming / software engineering, Programming and scripting languages: general, Computer science, Computer programming / software development, Programming & scripting languages: general, Computer science
      Description:A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.
      Imprint Name:Princeton University Press
      Publisher Name:Princeton University Press
      Country of Publication:GB
      Publishing Date:2021-08-03

      Additional information

      Weight560 g
      Dimensions483 × 342 × 21 mm