Data Structures and Algorithms

Data Structures and Algorithms

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Lecture - 4 Dictionaries

4 of 36

4 of 36

Lecture - 4 Dictionaries

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Data Structures and Algorithms

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  1. 1 Lecture - 1 Introduction to Data Structures and Algorithms
  2. 2 Lecture - 2 Stacks
  3. 3 Lecture - 3 Queues and Linked Lists
  4. 4 Lecture - 4 Dictionaries
  5. 5 Lecture - 5 Hashing
  6. 6 Lecture - 6 Trees
  7. 7 Lecture - 7 Tree Walks / Traversals
  8. 8 Lecture - 8 Ordered Dictionaries
  9. 9 Lecture - 9 Deletion
  10. 10 Lecture - 10 Quick Sort
  11. 11 Lecture - 11 AVL Trees
  12. 12 Lecture - 12 AVL Trees
  13. 13 Lecture - 13 Trees
  14. 14 Lecture - 14 Red Black Trees
  15. 15 Lecture - 15 Insertion in Red Black Trees
  16. 16 Lecture - 16 Disk Based Data Structures
  17. 17 Lecture - 17 Case Study: Searching for Patterns
  18. 18 Lecture - 18 Tries
  19. 19 Lecture - 19 Data Compression
  20. 20 Lecture - 20 Priority Queues
  21. 21 Lecture - 21 Binary Heaps
  22. 22 Lecture - 22 Why Sorting
  23. 23 Lecture - 23 More Sorting
  24. 24 Lecture - 24 Graphs
  25. 25 Lecture - 25 Data Structures for Graphs
  26. 26 Lecture - 26 Two Applications of Breadth First Search
  27. 27 Lecture - 27 Depth First Search
  28. 28 Lecture - 28 Applications of DFS
  29. 29 Lecture - 29 DFS in Directed Graphs
  30. 30 Lecture - 30 Applications of DFS in Directed Graphs
  31. 31 Lecture - 31 Minimum Spanning Trees
  32. 32 Lecture - 32 The Union
  33. 33 Lecture - 33 Prims Algorithm for Minimum Spanning Trees
  34. 34 Lecture - 34 Single Source Shortest Paths
  35. 35 Lecture - 35 Correctness of Dijkstras Algorithm
  36. 36 Lecture - 36 Single Source Shortest Paths

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