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Learning Scientific Programming with...

Hill, Christian,

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Learning Scientific Programming with Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Learning Scientific Programming with Python // Christian Hill.
Author:	Hill, Christian,
Description:	1 online resource (462 pages) :digital, PDF file(s).
Notes:	Title from publisher's bibliographic system (viewed on 24 Mar 2017).
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1017/CBO9781139871754
ISBN:	9781139871754 (ebook)

Learning Scientific Programming with Python /
Hill, Christian,

Learning Scientific Programming with Python /Christian Hill. - 1 online resource (462 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 24 Mar 2017).

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.

ISBN: 9781139871754 (ebook)Subjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: Q183.9 / .H58 2015

Dewey Class. No.: 005.13/3

Learning Scientific Programming with Python /
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500 $a Title from publisher's bibliographic system (viewed on 24 Mar 2017).
520 $a Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming.
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856 4 0 $u https://doi.org/10.1017/CBO9781139871754