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Python for scientists /

Stewart, John M., (1943 July 1-)

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Python for scientists /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Python for scientists // John M. Stewart.
作者:	Stewart, John M.,
其他作者:	Stewart, John.
出版者:	Cambridge :Cambridge University Press, : 2014.,
面頁冊數:	xii, 220 p. :ill. ;25 cm.
標題:	Science - Data processing. -
ISBN:	9781107686427

Python for scientists /
Stewart, John M.,1943 July 1-

Python for scientists /John M. Stewart. - Cambridge :Cambridge University Press,2014. - xii, 220 p. :ill. ;25 cm.

Includes bibliographical references (p. [216]-217) and index.

Introduction --

"Python 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"--

ISBN: 9781107686427US45.99

LCCN: 2014010571Subjects--Topical Terms:

534323
Science
--Data processing.

LC Class. No.: Q183.9 / .S865 2014

Dewey Class. No.: 005.13/3

Python for scientists /
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020 $a 9781107686427 $q (pbk.) : $c US45.99
020 $a 1107686423 $q (pbk.)
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100 1 $a Stewart, John M., $d 1943 July 1- $3 3208329
245 1 0 $a Python for scientists / $c John M. Stewart.
260 # $a Cambridge : $b Cambridge University Press, $c 2014.
300 $a xii, 220 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references (p. [216]-217) and index.
505 0 # $t Introduction -- $t Getting started with IPython -- $t A short Python tutorial -- $t Numpy -- $t Two-dimensional graphics -- $t Three-dimensional graphics -- $t Ordinary differential equations -- $t Partial differential equations : a pseudospectral approach -- $t Case study : multigrid -- $t Appendix A : installing a Python environment -- $t Appendix B : fortran77 subroutines for pseudospectral methods.
520 # $a "Python 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"-- $c Provided by publisher.
650 # 0 $a Science $x Data processing. $3 534323
650 # 0 $a Python (Computer program language) $3 729789
700 1 $a Stewart, John. $3 3208330