Data structure & algorithms in python / John Canning , Alan Broder and Robert Lafore.
Material type:
- 9780134855684
- QA 76.73 .P98 .C36 2023 c.2
Item type | Current library | Home library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|---|
![]() |
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.
There are no comments on this title.