Learning SciPy for Numerical and Scientific Computing - Second Edition (notice n° 69089)

détails MARC
000 -LEADER
fixed length control field 01920cam a2200301zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88852809
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107224809.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250107s2015 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781783987702
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88852809
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name G., Sergio J. Rojas
245 01 - TITLE STATEMENT
Title Learning SciPy for Numerical and Scientific Computing - Second Edition
Statement of responsibility, etc. ['G., Sergio J. Rojas', 'Christensen, Erik A', 'Blanco-Silva, Francisco J.']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2015
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. SciPy is an open source Python library used to perform scientific computing. The SciPy (Scientific Python) package extends the functionality of NumPy with a substantial collection of useful algorithms.The book starts with a brief description of the SciPy libraries, followed by a chapter that is a fun and fast-paced primer on array creation, manipulation, and problem-solving. You will also learn how to use SciPy in linear algebra, which includes topics such as computation of eigenvalues and eigenvectors. Furthermore, the book is based on interesting subjects such as definition and manipulation of functions, computation of derivatives, integration, interpolation, and regression. You will also learn how to use SciPy in signal processing and how applications of SciPy can be used to collect, organize, analyze, and interpret data.By the end of the book, you will have fast, accurate, and easy-to-code solutions for numerical and scientific computing applications.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name G., Sergio J. Rojas
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Christensen, Erik A
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Blanco-Silva, Francisco J.
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88852809">https://international.scholarvox.com/netsen/book/88852809</a>
Electronic format type text/html
Host name

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