MARC Record from harvard_bibliographic_metadata

LEADER: 02421cam a2200313Ka 4500
001 012112932-2
005 20140910154319.0
008 090929s2009 ne a b 001 0 eng d
020 $a9783642024740
020 $a3642024742
035 0 $aocn441343635
040 $aDOM$cDOM$dOHX
090 $aQA76.73.P98$bL286 2009
100 1 $aLangtangen, Hans Petter,$d1962-
245 12 $aA primer on scientific programming with Python /$cHans Petter Langtangen.
260 $aDordrecht ;$aNew York :$bSpringer,$cc2009.
300 $axxvii, 693 p.$bill. ;$c25 cm.
490 1 $aTexts in computational science and engineering ;$v6
504 $aIncludes bibliographical references (p. 687) and index.
505 0 $aComputing with Formulas -- Basic Constructions -- Input Data and Error Handling -- Array Computing and Curve Plotting -- Sequences and Difference Equations -- Files, Strings, and Dictionaries -- to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming.
520 $aTheaimofthisbookistoteachcomputerprogrammingusingexamples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python is also quite similar to Matlab and a good language for doing mathematical computing. It is easy to combine Python with compiled languages, like Fortran, C, and C++, which are widely used languages forscienti?ccomputations.AseamlessintegrationofPythonwithJava is o?ered by a special version of Python called Jython. The examples in this book integrate programming with appli- tions to mathematics, physics, biology, and ?nance. The reader is - pected to have knowledge of basic one-variable calculus as taught in mathematics-intensive programs in high schools. It is certainly an - vantage to take a university calculus course in parallel, preferably c- taining both classical and numerical aspects of calculus. Although not strictly required, a background in high school physics makes many of the examples more meaningful.
650 0 $aPython (Computer program language)
650 0 $aComputer science.
650 0 $aMathematics.
650 0 $aSoftware engineering.
830 0 $aTexts in computational science and engineering ;$v6.
988 $a20091104
049 $aCLSL
906 $0OCLC