000 02272nam a22003858i 4500
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006 m|||||o||d||||||||
007 cr||||||||||||
008 170308s2014||||enk o ||1 0|eng|d
020 _a9781107447875 (ebook)
020 _z9781107061392 (hardback)
020 _z9781107686427 (paperback)
035 _a(UkCbUP)CR9781107447875
039 9 _y03-08-2017
_zhafiz
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aQ183.9
_b.S865 2014
082 0 0 _a005.13/3
_223
100 1 _aStewart, John M.,
_eauthor.
245 1 0 _aPython for Scientists /
_cJohn M. Stewart.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (234 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 07 Mar 2017).
520 _aPython is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB® and Mathematica®. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible.
650 0 _aPython (Computer program language)
776 0 8 _iPrint version:
_z9781107061392
856 4 0 _uhttps://doi.org/10.1017/CBO9781107447875
907 _a.b16442520
_b2019-11-14
_c2019-11-12
942 _n0
914 _avtls003618605
998 _anone
_b2017-08-03
_cm
_da
_feng
_genk
_y0
_z.b16442520
999 _c617468
_d617468