MARC Record from harvard_bibliographic_metadata

LEADER: 04196nam a22004935a 4500
001 014162883-9
005 20141003191417.0
008 140801s2014 gw | s ||0| 0|eng d
020 $a9783642549595
020 $a9783642549595
020 $a9783642549588
024 7 $a10.1007/978-3-642-54959-5$2doi
035 $a(Springer)9783642549595
040 $aSpringer
050 4 $aQA71-90
072 7 $aPDE$2bicssc
072 7 $aCOM014000$2bisacsh
072 7 $aMAT003000$2bisacsh
082 04 $a004$223
100 1 $aLangtangen, Hans Petter,$eauthor.
245 12 $aA Primer on Scientific Programming with Python /$cby Hans Petter Langtangen.
250 $a4th ed. 2014.
264 1 $aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2014.
300 $aXXXI, 872 p. 170 illus., 70 illus. in color.$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 -- User Input and Error Handling -- Array Computing and Curve Plotting -- Dictionaries and Strings -- 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. From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.”  John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012    
650 10 $aMathematics.
650 0 $aMathematics.
650 0 $aSoftware engineering.
650 0 $aComputer science.
650 24 $aComputational Science and Engineering.
650 24 $aProgramming Techniques.
650 24 $aSoftware Engineering/Programming and Operating Systems.
650 24 $aMathematics of Computing.
650 24 $aNumerical and Computational Physics.
776 08 $iPrinted edition:$z9783642549588
830 0 $aTexts in Computational Science and Engineering ;$v6.
988 $a20140917
906 $0VEN