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OCoLC |
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20190130041043.0 |
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|2 23
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1 |
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|a Kinder, Jesse M.,
|d 1978-
|e author.
|
| 245 |
1 |
2 |
|a A student's guide to Python for physical modeling /
|c Jesse M. Kinder and Philip Nelson.
|
| 246 |
3 |
0 |
|a Python for physical modeling.
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| 250 |
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|a Updated edition.
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| 264 |
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1 |
|a Princeton, New Jersey :
|b Princeton University Press,
|c 2018.
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| 264 |
|
4 |
|c ©2018.
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| 300 |
|
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|a xiii, 154 pages :
|b illustrations ;
|c 27 cm.
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| 336 |
|
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|a text
|b txt
|2 rdacontent.
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| 337 |
|
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|a unmediated
|b n
|2 rdamedia.
|
| 338 |
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|a volume
|b nc
|2 rdacarrier.
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| 504 |
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|a Includes bibliographical references (pages 147-148) and index.
|
| 505 |
0 |
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|a Let's go -- Getting started with Python -- Organizing data -- Structure and control -- Data in, results out -- First computer lab -- More Python constructions -- Second computer lab -- Still more techniques -- Third computer lab -- Appendices: Installing Python ; Jupyter Notebooks ; Errors and error messages ; Python 2 versus Python 3 ; Under the hood ; Answers to "your turn" questions.
|
| 520 |
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|a "Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated 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 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; and 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. This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. In addition, a new appendix introduces Jupyter notebooks"--Provided by publisher.
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| 650 |
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0 |
|a Python (Computer program language)
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| 650 |
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|a Python (Computer program language)
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|a Python (langage de programmation)
|2 ram.
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| 650 |
|
7 |
|a Computers and IT.
|2 ukslc.
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| 650 |
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4 |
|a Python (langage de programmation).
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| 700 |
1 |
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|a Nelson, Philip Charles,
|e author.
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