gbrault
/
jupytersketcher
镜像自地址 https://github.com/gbrault/jupytersketcher.git


			
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<center><h1>Using Pysketcher to Create Principal Sketches of Physics Problems</h1></center>  <!-- document title -->

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<!-- author(s): Hans Petter Langtangen -->

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<b>Hans Petter Langtangen</b> [1, 2]
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<!-- institution(s) -->

<center>[1] <b>Center for Biomedical Computing, Simula Research Laboratory</b></center>
<center>[2] <b>Department of Informatics, University of Oslo</b></center>
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<center><h4>Apr 27, 2015</h4></center> <!-- date -->
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This document is derived from Chapter 9 in the book
<a href="http://www.amazon.com/Scientific-Programming-Computational-Science-Engineering/dp/3642549586/ref=sr_1_2?s=books&ie=UTF8&qid=1407225588&sr=1-2&keywords=langtangen" target="_self">A Primer on Scientific Programming with Python</a>, by H. P. Langtangen,
4th edition, Springer, 2014.
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<p>
<b>Abstract.</b> Pysketcher is a Python package which allows principal sketches of
physics and mechanics problems to be realized through short programs
instead of interactive (and potentially tedious and inaccurate)
drawing.  Elements of the sketch, such as lines, circles, angles,
forces, coordinate systems, etc., are realized as objects and
collected in hierarchical structures. Parts of the hierarchical
structures can easily change line styles and colors, or be copied,
scaled, translated, and rotated. These features make it
straightforward to move parts of the sketch to create animation,
usually in accordance with the physics of the underlying problem.
Exact dimensioning of the elements in the sketch is trivial to obtain
since distances are specified in computer code.

<p>
Pysketcher is easy to learn from a number of examples. Beyond
essential Python programming and a knowledge about mechanics problems,
no further background is required.

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