000 03331nam a22005175i 4500
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
024 7 _a10.1007/978-3-642-30293-0
_2doi
050 4 _aQA71-90
072 7 _aPDE
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aMAT003000
_2bisacsh
082 0 4 _a004
_223
100 1 _aLangtangen, Hans Petter.
_eauthor.
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.
300 _aXXXII, 798 p. 79 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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