Python for Scientists / (Record no. 84250)

000 -LEADER
fixed length control field 02182nam a2200349 i 4500
001 - CONTROL NUMBER
control field CR9781108120241
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730160807.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160805s2017||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781108120241 (ebook)
082 00 - CLASSIFICATION NUMBER
Call Number 005.13/3
100 1# - AUTHOR NAME
Author Stewart, John,
245 10 - TITLE STATEMENT
Title Python for Scientists /
250 ## - EDITION STATEMENT
Edition statement Second edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xiv, 257 pages) :
500 ## - GENERAL NOTE
Remark 1 Title from publisher's bibliographic system (viewed on 28 Aug 2017).
520 ## - SUMMARY, ETC.
Summary, etc Scientific Python is a significant public domain alternative to expensive proprietary software packages. This book teaches from scratch everything the working scientist needs to know using copious, downloadable, useful and adaptable code snippets. Readers will discover how easy it is to implement and test non-trivial mathematical algorithms and will be guided through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the language's capabilities. The author also shows how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. In this new edition, several chapters have been re-written to reflect the IPython notebook style. With an extended index, an entirely new chapter discussing SymPy and a substantial increase in the number of code snippets, researchers and research students will be able to quickly acquire all the skills needed for using Python effectively.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/9781108120241
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- Cambridge University Press,
-- 2017.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Science
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Python (Computer program language)

No items available.