Data Structures and Algorithms with Python / (Record no. 449088)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 21817612
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220106022456.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150112s2015 gw |||| o |||| 0|eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2019763352
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319130729
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-13072-9
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (DE-He213)978-3-319-13072-9
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions pn
-- rda
Transcribing agency DLC
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM062000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.73
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lee, Kent D,
Relator term author.
245 10 - TITLE STATEMENT
Title Data Structures and Algorithms with Python /
Statement of responsibility, etc. by Kent D. Lee, Steve Hubbard.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2015.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (XV, 363 pages 147 illustrations, 139 illustrations in color.)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Undergraduate Topics in Computer Science,
International Standard Serial Number 1863-7310
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1: Python Programming 101 -- 2: Computational Complexity -- 3: Recursion -- Sequences -- 4: Sets and Maps -- 5: Trees -- 6: Graphs -- 7: Membership Structures -- 8: Heaps -- 9: Balanced Binary Search Trees -- 10: B-Trees -- 11: Heuristic Search -- Appendix A: Integer Operators -- Appendix B: Float Operators -- Appendix C: String Operators and Methods -- Appendix D: List Operators and Methods -- Appendix E: Dictionary Operators and Methods -- Appendix F: Turtle Methods -- Appendix G: TurtleScreen Methods -- Appendix H: Complete Programs.
520 ## - SUMMARY, ETC.
Summary, etc. This clearly structured and easy to read textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by motivating examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. The text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Topics and features: Includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface Provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples Offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author Presents a primer on Python for those coming from a different language background Reviews the use of hashing in sets and maps, along with an examination of binary search trees and tree traversals, and material on depth first search of graphs Discusses topics suitable for an advanced course, such as membership structures, heaps, balanced binary search trees, B-trees and heuristic search Students of computer science will find this clear and concise textbook to be invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher-supplied MARC data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer programming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data structures (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language).
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Structures.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I15017
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithm Analysis and Problem Complexity.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I16021
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Programming Techniques.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I14010
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python.
Authority record control number or standard number https://scigraph.springernature.com/ontologies/product-market-codes/I29080
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hubbard, Steve,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Title Data structures and algorithms with Python.
International Standard Book Number 9783319130712
Record control number (DLC) 2014953918
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319130712
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319130736
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Undergraduate Topics in Computer Science,
International Standard Serial Number 1863-7310
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c origres
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Mathematics Dept. of Mathematics Processing Center 16/10/2021 1 005.73 LEE.D MAT7073 12/10/2022 12/08/2022 16/10/2021 Book