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[GigaCourse.Com] Udemy - Algorithms and Data Structures in Python (INTERVIEW Q&A)

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GigaCourse Com Udemy - Algorithms and Data Structures in Python INTERVIEW Q&A

文件列表
  1. 1. Introduction/1. Introduction.mp418.02MB
  2. 10. Data Structures - Queues/1. What are queues.mp410.54MB
  3. 10. Data Structures - Queues/2. Queue implementation.mp425.37MB
  4. 11. Interview Questions (Stacks and Queues)/1. Max in a stack problem solution.mp430.52MB
  5. 11. Interview Questions (Stacks and Queues)/2. Queue with stack problem solution.mp423.52MB
  6. 11. Interview Questions (Stacks and Queues)/3. Queue with stack problem solution - recursion.mp424.68MB
  7. 12. Data Structures - Binary Search Trees/1. What are binary search trees.mp441.5MB
  8. 12. Data Structures - Binary Search Trees/10. Binary Search Tree implementation III.mp471.82MB
  9. 12. Data Structures - Binary Search Trees/11. Practical (real-world) applications of trees.mp412.83MB
  10. 12. Data Structures - Binary Search Trees/2. Binary search trees theory - search, insert.mp413.19MB
  11. 12. Data Structures - Binary Search Trees/3. Binary search trees theory - delete.mp412.73MB
  12. 12. Data Structures - Binary Search Trees/4. Binary search trees theory - in-order traversal.mp414.39MB
  13. 12. Data Structures - Binary Search Trees/5. Binary search trees theory - running times.mp47.4MB
  14. 12. Data Structures - Binary Search Trees/6. Binary search tree implementation I.mp425.09MB
  15. 12. Data Structures - Binary Search Trees/7. Binary Search Tree implementation II.mp435.41MB
  16. 12. Data Structures - Binary Search Trees/8. Stack memory visualization - finding max (min) items.mp411.79MB
  17. 12. Data Structures - Binary Search Trees/9. Stack memory visualization - tree traversal.mp417.15MB
  18. 13. Interview Questions (Binary Search Trees)/1. Compare binary trees solution.mp435.59MB
  19. 14. Data Structures - AVL Trees/1. Motivation behind balanced binary search trees.mp48.19MB
  20. 14. Data Structures - AVL Trees/10. AVL tree implementation V.mp47.07MB
  21. 14. Data Structures - AVL Trees/11. Practical (real-world) applications of balanced binary search trees.mp415.45MB
  22. 14. Data Structures - AVL Trees/2. What are AVL trees.mp416.36MB
  23. 14. Data Structures - AVL Trees/3. AVL trees introduction - height.mp438.94MB
  24. 14. Data Structures - AVL Trees/4. AVL trees introduction - rotations.mp422.49MB
  25. 14. Data Structures - AVL Trees/5. AVL trees introduction - illustration.mp49.11MB
  26. 14. Data Structures - AVL Trees/6. AVL tree implementation I.mp427.64MB
  27. 14. Data Structures - AVL Trees/7. AVL tree implementation II.mp441.86MB
  28. 14. Data Structures - AVL Trees/8. AVL tree implementation III.mp496.54MB
  29. 14. Data Structures - AVL Trees/9. AVL tree implementation IV.mp4129.99MB
  30. 15. Data Structures - Red-Black Trees/1. What are red-black trees.mp429.66MB
  31. 15. Data Structures - Red-Black Trees/2. The logic behind red-black trees.mp420.45MB
  32. 15. Data Structures - Red-Black Trees/3. Red-black trees - recoloring and rotation cases.mp421.03MB
  33. 15. Data Structures - Red-Black Trees/4. Red-black tree illustrations.mp412.74MB
  34. 15. Data Structures - Red-Black Trees/5. Red-black tree implementation I.mp418.46MB
  35. 15. Data Structures - Red-Black Trees/6. Red-black tree implementation II.mp415.85MB
  36. 15. Data Structures - Red-Black Trees/7. Red-black tree implementation III.mp473.47MB
  37. 15. Data Structures - Red-Black Trees/8. Red-black tree implementation IV.mp416.25MB
  38. 15. Data Structures - Red-Black Trees/9. Differences between red-black tree and AVL trees.mp47.86MB
  39. 16. Data Structures - Heaps/1. What are priority queues.mp412.81MB
  40. 16. Data Structures - Heaps/10. Heap implementation III.mp438.29MB
  41. 16. Data Structures - Heaps/11. Heaps in Python.mp411.94MB
  42. 16. Data Structures - Heaps/2. Heap introduction - basics.mp429.21MB
  43. 16. Data Structures - Heaps/3. Heap introduction - array representation.mp418.86MB
  44. 16. Data Structures - Heaps/4. Heap introduction - remove operation.mp417.96MB
  45. 16. Data Structures - Heaps/5. Using heap data structure to sort (heapsort).mp412.32MB
  46. 16. Data Structures - Heaps/6. Heap introduction - operations complexities.mp439.86MB
  47. 16. Data Structures - Heaps/7. Binomial and Fibonacci heaps.mp417.98MB
  48. 16. Data Structures - Heaps/8. Heap implementation I.mp418.17MB
  49. 16. Data Structures - Heaps/9. Heap implementation II.mp475.95MB
  50. 17. Interview Questions (Heaps)/1. Interview question #1 - solution.mp420.26MB
  51. 17. Interview Questions (Heaps)/2. Interview question #2 - solution.mp427.72MB
  52. 18. Data Structures - Associative Arrays (Dictionaries)/1. What are associative arrays.mp417.99MB
  53. 18. Data Structures - Associative Arrays (Dictionaries)/2. Hashtable introduction - basics.mp442.34MB
  54. 18. Data Structures - Associative Arrays (Dictionaries)/3. Hashtable introduction - collisions.mp448.53MB
  55. 18. Data Structures - Associative Arrays (Dictionaries)/4. Hashtable introduction - dynamic resizing.mp434.03MB
  56. 18. Data Structures - Associative Arrays (Dictionaries)/5. Linear probing implementation I.mp424.62MB
  57. 18. Data Structures - Associative Arrays (Dictionaries)/6. Linear probing implementation II.mp455.58MB
  58. 18. Data Structures - Associative Arrays (Dictionaries)/7. Linear probing implementation III.mp412.6MB
  59. 18. Data Structures - Associative Arrays (Dictionaries)/8. Dictionaires in Python.mp411.59MB
  60. 18. Data Structures - Associative Arrays (Dictionaries)/9. Practical (real-world) applications of hashing.mp420.91MB
  61. 19. Graph Algorithms Overview/1. Graph theory overview.mp412.74MB
  62. 19. Graph Algorithms Overview/2. Adjacency matrix and adjacency list.mp418.98MB
  63. 19. Graph Algorithms Overview/3. Applications of graphs.mp412.99MB
  64. 2. Data Structures Overview/1. Why to use data structures.mp422.35MB
  65. 2. Data Structures Overview/2. Data structures and abstract data types.mp414.19MB
  66. 20. Graph Algorithms - Graph Traversal Algorithms/1. Breadth-first search introduction.mp437.73MB
  67. 20. Graph Algorithms - Graph Traversal Algorithms/2. Breadth-first search implementation.mp425.66MB
  68. 20. Graph Algorithms - Graph Traversal Algorithms/3. What are WebCrawlers (core of search engines).mp431.38MB
  69. 20. Graph Algorithms - Graph Traversal Algorithms/4. WebCrawler basic implementation.mp443.17MB
  70. 20. Graph Algorithms - Graph Traversal Algorithms/5. Depth-first search introduction.mp431.24MB
  71. 20. Graph Algorithms - Graph Traversal Algorithms/6. Depth-first search implementation.mp422.69MB
  72. 20. Graph Algorithms - Graph Traversal Algorithms/7. Memory management BFS vs DFS.mp429.76MB
  73. 21. Interview Questions (Graph Traversal)/1. Interview question #1 - solution.mp49.82MB
  74. 21. Interview Questions (Graph Traversal)/2. Depth-first search and stack memory visualisation.mp413.67MB
  75. 21. Interview Questions (Graph Traversal)/3. Interview question #2 - solution.mp479.46MB
  76. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/1. What is the shortest path problem.mp414.2MB
  77. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/2. Dijkstra algorithm visualization.mp428.43MB
  78. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/3. Dijkstra algorithm implementation I - Edge, Node.mp438.1MB
  79. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/4. Dijkstra algorithm implementation II - algorithm.mp473.77MB
  80. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/5. Dijkstra algorithm implementation III - testing.mp436.45MB
  81. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/6. Dijktsra's algorithm with adjacency matrix representation.mp424.29MB
  82. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/7. Adjacency matrix representation implementation.mp478.91MB
  83. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/8. Shortest path algorithms applications.mp418.48MB
  84. 22. Graph Algorithms - Shortest Paths with Dijkstra's Algorithm/9. What is the critical path method (CPM).mp413.7MB
  85. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/1. What is the Bellman-Ford algorithm.mp443.39MB
  86. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/2. Bellman-Ford algorithm visualization.mp410.7MB
  87. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/3. Bellman-Ford algorithm implementation I - Node, Edge.mp44.89MB
  88. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/4. Bellman-Ford algorithm implementation II - the algorithm.mp450.42MB
  89. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/5. Bellman-Ford algorithm implementation III - testing.mp419.56MB
  90. 23. Graph Algorithms - Shortest Paths with Bellman-Ford Algorithm/6. Greedy algorithm or dynamic programming approach.mp434.18MB
  91. 24. Interview Questions (Shortest Paths)/1. How to use Bellman-Ford algorithm on the FOREX.mp416.5MB
  92. 24. Interview Questions (Shortest Paths)/2. Interview question #1 - solution.mp420.84MB
  93. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/1. What is the disjoint set data structure.mp439.56MB
  94. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/2. Disjoint sets visualization.mp410.56MB
  95. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/3. Kruskal's algorithm introduction.mp455.13MB
  96. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/4. Kruskal algorithm implementation I - basic classes.mp419.71MB
  97. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/5. Kruskal algorithm implementation II - disjoint set.mp462.66MB
  98. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/6. Kruskal algorithm implementation III - algorithm.mp422.75MB
  99. 25. Graph Algorithms - Spanning Trees with Kruskal Algorithm/7. Kruskal algorithm implementation VI - testing.mp416.2MB
  100. 26. Graph Algorithms - Spanning Trees with Prims Algorithm/1. What is the Prim-Jarnik algorithm.mp425.59MB
  101. 26. Graph Algorithms - Spanning Trees with Prims Algorithm/2. Prims-Jarnik algorithm implementation I.mp483.38MB
  102. 26. Graph Algorithms - Spanning Trees with Prims Algorithm/3. Prims-Jarnik algorithm implementation II.mp431.64MB
  103. 26. Graph Algorithms - Spanning Trees with Prims Algorithm/4. Applications of spanning trees.mp429.45MB
  104. 27. Basic Sorting Algorithms/1. Sorting introduction.mp425.75MB
  105. 27. Basic Sorting Algorithms/10. Insertion sort introduction.mp422.63MB
  106. 27. Basic Sorting Algorithms/11. Insertion sort implementation.mp415.35MB
  107. 27. Basic Sorting Algorithms/12. Shell sort introduction.mp411.95MB
  108. 27. Basic Sorting Algorithms/13. Shell sort implementation.mp415.03MB
  109. 27. Basic Sorting Algorithms/14. Quicksort introduction.mp434MB
  110. 27. Basic Sorting Algorithms/15. Quicksort introduction - example.mp441.3MB
  111. 27. Basic Sorting Algorithms/16. Quicksort implementation.mp438.21MB
  112. 27. Basic Sorting Algorithms/17. What is the worst-case scenario for quicksort.mp418.51MB
  113. 27. Basic Sorting Algorithms/18. Merge sort introduction.mp419.57MB
  114. 27. Basic Sorting Algorithms/19. Merge sort implementation.mp427.28MB
  115. 27. Basic Sorting Algorithms/2. What is stability in sorting.mp417.08MB
  116. 27. Basic Sorting Algorithms/20. Stack memory and merge sort visualization.mp418.56MB
  117. 27. Basic Sorting Algorithms/21. Hybrid algorithms introduction.mp419.11MB
  118. 27. Basic Sorting Algorithms/22. Non-comparison based algorithms.mp45.48MB
  119. 27. Basic Sorting Algorithms/23. Counting sort introduction.mp435.52MB
  120. 27. Basic Sorting Algorithms/24. Counting sort implementation.mp432.01MB
  121. 27. Basic Sorting Algorithms/25. Radix sort introduction.mp450.5MB
  122. 27. Basic Sorting Algorithms/26. Radix sort implementation.mp447.74MB
  123. 27. Basic Sorting Algorithms/3. What is adaptive sorting.mp419.42MB
  124. 27. Basic Sorting Algorithms/4. Bogo sort introduction.mp47.71MB
  125. 27. Basic Sorting Algorithms/5. Bogo sort implementation.mp446.55MB
  126. 27. Basic Sorting Algorithms/6. Bubble sort introduction.mp412.54MB
  127. 27. Basic Sorting Algorithms/7. Bubble sort implementation.mp414.71MB
  128. 27. Basic Sorting Algorithms/8. Selection sort introduction.mp430.08MB
  129. 27. Basic Sorting Algorithms/9. Selection sort implementation.mp414.23MB
  130. 31. Algorhyme FREE Algorithms Visualizer App/1. Algorithms Visualization App.mp47.44MB
  131. 4. Data Structures - Arrays/1. What are array data structures.mp425MB
  132. 4. Data Structures - Arrays/2. Arrays introduction - operations.mp424.95MB
  133. 4. Data Structures - Arrays/3. Arrays in Python.mp425.93MB
  134. 4. Data Structures - Arrays/4. What are real arrays in Python.mp416.84MB
  135. 5. Interview Questions (Arrays)/1. Reversing an array in-place solution.mp410.24MB
  136. 5. Interview Questions (Arrays)/2. Palindrome problem solution.mp423.81MB
  137. 5. Interview Questions (Arrays)/3. Integer reversion problem solution.mp422.2MB
  138. 5. Interview Questions (Arrays)/4. Anagram problem solution.mp417.95MB
  139. 5. Interview Questions (Arrays)/5. Duplicates in an array problem solution.mp431.55MB
  140. 6. Data Structures - Linked Lists/1. What are linked lists.mp419.08MB
  141. 6. Data Structures - Linked Lists/2. Linked list introduction - operations.mp433.41MB
  142. 6. Data Structures - Linked Lists/3. Linked list implementation I.mp427.5MB
  143. 6. Data Structures - Linked Lists/4. Linked list implementation II.mp414.46MB
  144. 6. Data Structures - Linked Lists/5. Linked list implementation III.mp429.86MB
  145. 6. Data Structures - Linked Lists/6. Comparing linked lists and arrays.mp414.42MB
  146. 6. Data Structures - Linked Lists/7. Practical (real-world) applications of linked lists.mp436.46MB
  147. 7. Data Structures - Doubly Linked Lists/1. What are doubly linked lists.mp429.5MB
  148. 7. Data Structures - Doubly Linked Lists/2. Doubly linked list implementation.mp439.49MB
  149. 7. Data Structures - Doubly Linked Lists/3. Running time comparison linked lists and arrays.mp415.09MB
  150. 8. Interview Questions (Linked Lists)/1. Finding the middle node in a linked list solution.mp418.9MB
  151. 8. Interview Questions (Linked Lists)/2. Reverse a linked list in-place solution.mp428.12MB
  152. 9. Data Structures - Stacks/1. What are stacks.mp410.57MB
  153. 9. Data Structures - Stacks/2. Stacks in memory management (stacks and heaps ).mp48.89MB
  154. 9. Data Structures - Stacks/3. Stack memory visualization.mp416.53MB
  155. 9. Data Structures - Stacks/4. Stack implementation.mp425.33MB
  156. 9. Data Structures - Stacks/5. Practical (real-world) applications of stacks.mp416.11MB
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