000 | 03331nam a22005175i 4500 | ||
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001 | 978-3-642-30293-0 | ||
003 | DE-He213 | ||
005 | 20140220083318.0 | ||
007 | cr nn 008mamaa | ||
008 | 120703s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642302930 _9978-3-642-30293-0 |
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024 | 7 |
_a10.1007/978-3-642-30293-0 _2doi |
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050 | 4 | _aQA71-90 | |
072 | 7 |
_aPDE _2bicssc |
|
072 | 7 |
_aCOM014000 _2bisacsh |
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072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a004 _223 |
100 | 1 |
_aLangtangen, Hans Petter. _eauthor. |
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245 | 1 | 2 |
_aA Primer on Scientific Programming with Python _h[electronic resource] / _cby Hans Petter Langtangen. |
250 | _a3rd ed. 2012. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2012. |
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300 |
_aXXXII, 798 p. 79 illus., 30 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aTexts in Computational Science and Engineering, _x1611-0994 ; _v6 |
|
505 | 0 | _aPreface -- Computing with Formulas -- Loops and Lists -- Functions and Branching -- Input Data and Error Handling -- Array Computing and Curve Plotting -- Files, Strings and Dictionaries -- Introduction to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming -- Sequences and Difference Equations -- Introduction to Discrete Calculus -- Introduction to Differential Equations -- A Complete Differential Equation Project -- Programming of Differential Equations -- Debugging -- Migrating Python to Compiled Code -- Technical Topics -- Bibliography -- Index. | |
520 | _aThe book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. | ||
650 | 0 | _aMathematics. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aMathematics. |
650 | 2 | 4 | _aComputational Science and Engineering. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aSoftware Engineering/Programming and Operating Systems. |
650 | 2 | 4 | _aMathematics of Computing. |
650 | 2 | 4 | _aNumerical and Computational Physics. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642302923 |
830 | 0 |
_aTexts in Computational Science and Engineering, _x1611-0994 ; _v6 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-30293-0 |
912 | _aZDB-2-SMA | ||
999 |
_c103151 _d103151 |