Data Structures and Algorithm in Python (Record no. 814518)

MARC details
000 -LEADER
fixed length control field 04749nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240103s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780134855684
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9780134855684
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.73
Item number CAN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Canning, John
9 (RLIN) 879332
Relator term author
245 ## - TITLE STATEMENT
Title Data Structures and Algorithm in Python
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston :
Name of publisher, distributor, etc. Addison-Wesley,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xxix, 886 p.
Other physical details : ill
500 ## - GENERAL NOTE
General note AUTHORS<br/><br/>Dr. John Canning is an engineer, computer scientist, and researcher. He earned an S.B. degree in electrical engineering from the Massachusetts Institute of Technology and a Ph.D. in Computer Science from the University of Maryland at College Park. His varied professions include being a professor of computer science, a researcher and software engineer in industry, and a company vice president. He now is president of Shakumant Software.<br/><br/>Alan Broder is clinical professor and chair of the Department of Computer Science at Stern College for Women of Yeshiva University in New York City. He teaches introductory and advanced courses in Python programming, data structures, and data science. Before joining Stern College, he was a software engineer, designing and building large-scale data analysis systems. He founded and led White Oak Technologies, Inc. as its CEO, and later served as the chairman and fellow of its successor company, Novetta, in Fairfax, Virginia.<br/><br/>Robert Lafore has degrees in Electrical Engineering and Mathematics, has worked as a systems analyst for the Lawrence Berkeley Laboratory, founded his own software company, and is a best-selling writer in the field of computer programming. Some of his titles are Object-Oriented Programming in C++ and Data Structures and Algorithms in Java.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafore's legendary Java-based guide, this book helps students understand exactly how data structures and algorithms operate. You'll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges.<br/><br/>Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more. Their code examples and illustrations are so clear, you can understand them even if you're a near-beginner, or your experience is with other procedural or object-oriented languages.<br/><br/> Build core computer science skills that take you beyond merely “writing code”<br/> Learn how data structures make programs (and programmers) more efficient<br/> See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources<br/> Develop data structure implementation skills you can use in any language<br/> Choose the best data structure(s) and algorithms for each programming problem—and recognize which ones to avoid<br/><br/>Data Structures & Algorithms in Python is packed with examples, review questions, individual and team exercises, thought experiments, and longer programming projects. It's ideal for both self-study and classroom settings, and either as a primary text or as a complement to a more formal presentation.<br/><br/>Instructor Resources: Lecture slides and project solutions for the first few chapters are available on Pearson's Instructor Resource Center. For questions and additional ancillaries, such as complete lecture slides and programming project solutions, please contact the authors at their website, https://datastructures.live.<br/><br/>Two earlier editions of this book were published in 1998 and 2002 for the Java programming language. John Canning and Alan Broder developed this version using Python due to its popularity in education, commercial, and non-commercial software development. Canning and Broder expanded its coverage of data structures and updated many of its examples.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1561
Topical term or geographic name entry element Python Computer Program Language
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 3324
Topical term or geographic name entry element Data Structures Computer Science
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 96
Topical term or geographic name entry element Computer Algorithms
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Broder, Alan
9 (RLIN) 879561
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Lafore, Robert
9 (RLIN) 40862
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9780134855684.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9780134855684.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.pearson.com/en-us/subject-catalog/p/data-structures--algorithms-in-python/P200000007285?view=educator&tab=table-of-contents">https://www.pearson.com/en-us/subject-catalog/p/data-structures--algorithms-in-python/P200000007285?view=educator&tab=table-of-contents</a>
Link text web link
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 Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Reference Section Reference Section Reference Section 01/01/2024 22 Purchased 18941.80   005.73 CAN 98521 19/02/2024 2023-24 18941.80 01/01/2024 Reference Collection