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Data structure & algorithms in python / John Canning , Alan Broder and Robert Lafore.

By: Contributor(s): Material type: TextTextPublication details: Boston : Addison-Wesly, c2023.Description: xix, 886 pages : color illustrations ; 24 cmISBN:
  • 9780134855684
Subject(s): LOC classification:
  • QA 76.73 .P98 .C36 2023 c.2
Contents:
Part 1. Overview.--Part 2. Arrays.--Part 3. Simple sorting.--Part 4. Stacks and queues.--Part 5. Linked lists.--Part 6. Recursion.--Part 7. Advanced sorting.--Part 8. Binary trees.--Part 9. 2-3-4 trees and external storage.--10. AVL and red-black trees.--Part 11. Hash tables.--Part 12. Spatial data structures.--Part 13. Heaps.--Part 14. Graphs.--Part 15. Weighted graphs.--Part 16. What to use and why.
Summary: This practical introduction to data structures and algorithms can help every prorgramming who wants to write more efficeient software. Build on Robert Lafore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges.
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Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books NU BALIWAG NU BALIWAG Information Technology General Circulation GC QA 76.73 .P98 .C36 2023 c.2 (Browse shelf(Opens below)) C.1 Available NUBUL0000005205

Includes index.

Part 1. Overview.--Part 2. Arrays.--Part 3. Simple sorting.--Part 4. Stacks and queues.--Part 5. Linked lists.--Part 6. Recursion.--Part 7. Advanced sorting.--Part 8. Binary trees.--Part 9. 2-3-4 trees and external storage.--10. AVL and red-black trees.--Part 11. Hash tables.--Part 12. Spatial data structures.--Part 13. Heaps.--Part 14. Graphs.--Part 15. Weighted graphs.--Part 16. What to use and why.

This practical introduction to data structures and algorithms can help every prorgramming who wants to write more efficeient software. Build on Robert Lafore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges.

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