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Data Structures and Algorithms for Developers
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This book teaches data structures and algorithms in simple, practical language. It covers complexity analysis, core data structures, searching, sorting, recursion, dynamic programming, graph thinking, and how to apply DSA knowledge in real engineering work.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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01Chapter 1: Introduction to Data Structures and Algorithms02Chapter 2: Big O Notation, Time Complexity, and Space Complexity03Chapter 3: Arrays, Strings, Hash Tables, and Common Patterns04Chapter 4: Linked Lists, Stacks, Queues, and Practical Trade-Offs05Chapter 5: Binary Search and Divide-and-Conquer Thinking06Chapter 6: Sorting Algorithms and When They Matter07Chapter 7: Trees, Binary Search Trees, and Traversal Patterns08Chapter 8: Heaps, Priority Queues, and Top-K Problems09Chapter 9: Graphs, BFS, DFS, and Shortest Path Thinking10Chapter 10: Recursion, Backtracking, and Search Trees11Chapter 11: Dynamic Programming from First Principles12Chapter 12: Greedy Algorithms, Intervals, and Optimization Patterns13Chapter 13: Choosing the Right Data Structure in Real Systems14Chapter 14: Performance Trade-Offs, Memory, and Readability15Chapter 15: Preparing for Interviews with Practical Strategy16Chapter 16: Capstone: Solve Real Problems with DSA17Appendix A: Commands and Workflow Cheat Sheet18Appendix B: Reference Architectures and Patterns19Appendix C: Common Mistakes and Fixes20Appendix D: Best Practices Summary
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