Data structures algorithms in python / John Canning, Alan Broder, Robert Lafore.
Material type:
TextPublication details: Boston : Addison-Wesley, 2023.Description: xix, 886 pages : color illustrations ; 23 cmISBN: - 9780134855684
- 005.133 C225d
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Book
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College Library College Library | Circulation | CIR 005.133 C225d 2023 (Browse shelf(Opens below)) | 1-1 | Available | 67576 |
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| CIR 005.133 B311 2022 Basic computer coding : C++ / | CIR 005.133 B311 2022 Basic computer coding : python / | CIR 005.133 B949j 2022 Java / | CIR 005.133 C225d 2023 Data structures algorithms in python / | CIR 005.133 C273 2019 c2 New Perspective on HTML, CSS3, and JavaScript / | CIR 005.133 C273n 2019 New Perspective on HTML, CSS3, and JavaScript / | CIR 005.133 J77c 2023 C++ programming / |
Includes index.
1. Overview 1 -- 2. Arrays 29 -- 3. Simple Sorting 75 -- 4. Stacks and Queues 103 -- 5. Linked Lists 157 -- 6. Recursion 229 -- 7. Advanced Sorting 285 -- 8. Binary Trees 385 -- 9. 2-3-4 Trees and External Storage 401 -- 10. AVL and Red-Black Trees 463 -- 11. Hash Tables 525 -- 12. Spatial Data Structures 597 -- 13. Heaps 665 -- 14. Graphs 705 -- 15. Weighted Graphs 767 -- What to Use and Why 813.
"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. 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. Build core computer science skills that take you beyond merely “writing code.” Learn how data structures make programs (and programmers) more efficient. See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources. Develop data structure implementation skills you can use in any language. Choose the best data structure(s) and algorithms for each programming problem—and recognize which ones to avoid. 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." -- Book cover.
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