GigaCourse Com Udemy Algorithms and Data Structures in Python INTERVIEW |
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Name |
[GigaCourse.Com] Udemy - Algorithms and Data Structures in Python (INTERVIEW Q&A) |
DOWNLOAD Copy Link |
Total Size |
4.4 GB |
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Total Files |
545 |
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Last Seen |
2024-11-15 00:00 |
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Hash |
361E12041418726B94AA3A11462A5F00530103B7 |
/0. Websites you may like/ |
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/1. Introduction/ |
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/10. Data Structures - Queues/ |
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/11. Interview Questions (Stacks and Queues)/ |
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/12. Data Structures - Binary Search Trees/ |
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4. Binary search trees theory - in-order traversal-en_US.srt |
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4. Binary search trees theory - in-order traversal-pl_PL.srt |
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8. Stack memory visualization - finding max (min) items-en_US.srt |
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8. Stack memory visualization - finding max (min) items-pl_PL.srt |
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/13. Interview Questions (Binary Search Trees)/ |
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/14. Data Structures - AVL Trees/ |
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11. Practical (real-world) applications of balanced binary search trees-en_US.srt |
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11. Practical (real-world) applications of balanced binary search trees-pl_PL.srt |
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11. Practical (real-world) applications of balanced binary search trees.mp4 |
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/15. Data Structures - Red-Black Trees/ |
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3. Red-black trees - recoloring and rotation cases-en_US.srt |
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3. Red-black trees - recoloring and rotation cases-pl_PL.srt |
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9. Differences between red-black tree and AVL trees-en_US.srt |
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9. Differences between red-black tree and AVL trees-pl_PL.srt |
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/16. Data Structures - Heaps/ |
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/17. Interview Questions (Heaps)/ |
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/18. Data Structures - Associative Arrays (Dictionaries)/ |
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/19. Graph Algorithms Overview/ |
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/2. Data Structures Overview/ |
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/20. Graph Algorithms - Graph Traversal Algorithms/ |
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/21. Interview Questions (Graph Traversal)/ |
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2. Depth-first search and stack memory visualisation-en_US.srt |
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2. Depth-first search and stack memory visualisation-pl_PL.srt |
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Interview question #2 - using BFS to find way out of maze.html |
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/22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/ |
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3. Dijkstra algorithm implementation I - Edge, Node-en_US.srt |
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3. Dijkstra algorithm implementation I - Edge, Node-pl_PL.srt |
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4. Dijkstra algorithm implementation II - algorithm-en_US.srt |
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4. Dijkstra algorithm implementation II - algorithm-pl_PL.srt |
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5. Dijkstra algorithm implementation III - testing-en_US.srt |
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5. Dijkstra algorithm implementation III - testing-pl_PL.srt |
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6. Dijktsra's algorithm with adjacency matrix representation-en_US.srt |
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6. Dijktsra's algorithm with adjacency matrix representation-pl_PL.srt |
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6. Dijktsra's algorithm with adjacency matrix representation.mp4 |
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/23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/ |
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3. Bellman-Ford algorithm implementation I - Node, Edge-en_US.srt |
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3. Bellman-Ford algorithm implementation I - Node, Edge-pl_PL.srt |
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4. Bellman-Ford algorithm implementation II - the algorithm-en_US.srt |
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4. Bellman-Ford algorithm implementation II - the algorithm-pl_PL.srt |
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4. Bellman-Ford algorithm implementation II - the algorithm.mp4 |
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5. Bellman-Ford algorithm implementation III - testing-en_US.srt |
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5. Bellman-Ford algorithm implementation III - testing-pl_PL.srt |
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6. Greedy algorithm or dynamic programming approach-en_US.srt |
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6. Greedy algorithm or dynamic programming approach-pl_PL.srt |
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/24. Interview Questions (Shortest Paths)/ |
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Interview question #1 - detecting negative cycles on the FOREX.html |
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/25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/ |
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4. Kruskal algorithm implementation I - basic classes-en_US.srt |
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4. Kruskal algorithm implementation I - basic classes-pl_PL.srt |
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5. Kruskal algorithm implementation II - disjoint set-en_US.srt |
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5. Kruskal algorithm implementation II - disjoint set-pl_PL.srt |
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6. Kruskal algorithm implementation III - algorithm-en_US.srt |
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6. Kruskal algorithm implementation III - algorithm-pl_PL.srt |
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/26. Graph Algorithms - Spanning Trees with Prims Algorithm/ |
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/27. Basic Sorting Algorithms/ |
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/28. Interview Questions (Sorting)/ |
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Interview question #2 - implement quicksort with iteration.html |
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Interview question #3 - implementing selection sort with recursion.html |
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/29. Next Steps/ |
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/3. Installation and Environment Setup/ |
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/30. Course Materials (DOWNLOADS)/ |
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/31. Algorhyme FREE Algorithms Visualizer App/ |
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/4. Data Structures - Arrays/ |
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/5. Interview Questions (Arrays)/ |
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/6. Data Structures - Linked Lists/ |
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7. Practical (real-world) applications of linked lists-en_US.srt |
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7. Practical (real-world) applications of linked lists-id_ID.srt |
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7. Practical (real-world) applications of linked lists-pl_PL.srt |
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7. Practical (real-world) applications of linked lists-ro_RO.srt |
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7. Practical (real-world) applications of linked lists-th_TH.srt |
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/7. Data Structures - Doubly Linked Lists/ |
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3. Running time comparison linked lists and arrays-en_US.srt |
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3. Running time comparison linked lists and arrays-pl_PL.srt |
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/8. Interview Questions (Linked Lists)/ |
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1. Finding the middle node in a linked list solution-en_US.srt |
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1. Finding the middle node in a linked list solution-pl_PL.srt |
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/9. Data Structures - Stacks/ |
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2. Stacks in memory management (stacks and heaps )-en_US.srt |
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2. Stacks in memory management (stacks and heaps )-pl_PL.srt |
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