DSA Tutorial: A Complete Guide
Your beginner-friendly journey into Data Structures and Algorithms — the foundation of efficient programming. Each chapter includes explanations, code examples, diagrams, and a hands-on exercise.
Table of Contents
- 1. Getting Started Introduction, Simple Algorithms, Why DSA Matters
- 2. Arrays Basics, Sorting: Bubble, Selection, Insertion, Quick, Merge, Counting; Searching: Linear, Binary
- 3. Linked Lists Concepts, Types: Singly/Doubly/Circular, Operations: Insert, Delete, Traverse, Reverse
- 4. Stacks & Queues Stack Basics, Queue Basics, Operations, Applications, Deque, Priority Queue
- 5. Hash Tables Hash Tables, Hash Sets, Hash Maps, Collision Resolution, Load Factor
- 6. Trees Binary Trees, Traversals (Pre/In/Post/Level), BST, AVL Trees, Heap
- 7. Graphs Representation, BFS, DFS, Cycle Detection, Topological Sort
- 8. Shortest Path Dijkstra, Bellman-Ford, Floyd-Warshall, A* Search
- 9. Spanning Tree Prim's Algorithm, Kruskal's Algorithm, Minimum Spanning Tree
- 10. Maximum Flow Ford-Fulkerson, Edmonds-Karp, Max-Flow Min-Cut
- 11. Time Complexity Big-O, Omega, Theta, Complexity of Sorting & Searching
- 12. Dynamic Programming Memoization, Tabulation, Fibonacci, Knapsack, LCS, LIS
- 13. Greedy Algorithms Huffman Coding, Activity Selection, Fractional Knapsack, TSP
- 14. Practice & Certification Examples, Exercises, Quiz, Syllabus, Study Plan, Interview Prep
- 15. References DSA Reference, Quick Guide, Cheatsheet