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Pluralsight - Working with Graph Algorithms in Python

Torrent: Pluralsight - Working with Graph Algorithms in Python
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Torrent Contents

  • Pluralsight - Working with Graph Algorithms in Python
    • 1. Course Overview/01. Course Overview.mp4 - 3.6 MB
    • 2. Introducing the Graph Data Structure/08. Demo - Representing a Graph as an Adjacency Matrix.mp4 - 17.4 MB
    • 2. Introducing the Graph Data Structure/10. Demo - Representing a Graph as an Adjacency Set.mp4 - 10.1 MB
    • 2. Introducing the Graph Data Structure/03. Modeling Relationships Using Graphs.mp4 - 6.8 MB
    • 2. Introducing the Graph Data Structure/12. Breadth-first and Depth-first Graph Traversal.mp4 - 6.7 MB
    • 2. Introducing the Graph Data Structure/05. Undirected Graphs, Trees, and Forests.mp4 - 5.5 MB
    • 2. Introducing the Graph Data Structure/14. Demo - Implementing Depth-first Traversal in Python.mp4 - 5.5 MB
    • 2. Introducing the Graph Data Structure/13. Demo - Implementing Breadth-first Traversal in Python.mp4 - 5.3 MB
    • 2. Introducing the Graph Data Structure/11. Comparing Graph Data Structures.mp4 - 5.1 MB
    • 2. Introducing the Graph Data Structure/09. The Adjacency List and the Adjacency Set.mp4 - 5.0 MB
    • 2. Introducing the Graph Data Structure/07. The Adjacency Matrix.mp4 - 4.9 MB
    • 2. Introducing the Graph Data Structure/06. Directed Graphs and Precedence Relationships.mp4 - 4.4 MB
    • 2. Introducing the Graph Data Structure/02. Pre-requisites and Course Overview.mp4 - 4.1 MB
    • 2. Introducing the Graph Data Structure/04. Directed and Undirected Graphs.mp4 - 2.5 MB
    • 3. Understanding Topological Sort/19. Demo - Implementing Toplogical Sort in Python.mp4 - 7.6 MB
    • 3. Understanding Topological Sort/18. Understanding the Toplogical Sort Implementation.mp4 - 7.5 MB
    • 3. Understanding Topological Sort/16. Representing Dependencies with the Directed Acyclic Graph.mp4 - 7.2 MB
    • 3. Understanding Topological Sort/15. Maintaining Precedence Relationships with Topological Sort.mp4 - 4.1 MB
    • 3. Understanding Topological Sort/17. The Toplogical Sort Algorithm.mp4 - 3.3 MB
    • 4. Working with Shortest Path Algorithms/27. Demo - Implementing Dijkstra's Algorithm in Python.mp4 - 14.8 MB
    • 4. Working with Shortest Path Algorithms/24. Demo - Implementing the Unweighted Shortest Path Algorithm in Python.mp4 - 12.7 MB
    • 4. Working with Shortest Path Algorithms/26. Building the Distance Table in Dijkstra's Algorithm.mp4 - 9.7 MB
    • 4. Working with Shortest Path Algorithms/23. Building the Distance Table.mp4 - 7.0 MB
    • 4. Working with Shortest Path Algorithms/22. Backtracking Using the Distance Table.mp4 - 7.0 MB
    • 4. Working with Shortest Path Algorithms/25. Understanding Dijkstra's Algorithm.mp4 - 4.5 MB
    • 4. Working with Shortest Path Algorithms/20. What Is the Shortest Path Between Two Nodes.mp4 - 2.8 MB
    • 4. Working with Shortest Path Algorithms/21. Unweighted and Weighted Graphs.mp4 - 123.0 KB
    • 5. Working with Spanning Tree Algorithms/33. Demo - Implementing Kruskal's Algorithm in Python.mp4 - 12.3 MB
    • 5. Working with Spanning Tree Algorithms/31. Demo - Implementing Prim's Algorithm in Python.mp4 - 10.3 MB
    • 5. Working with Spanning Tree Algorithms/32. Understanding Kruskal's Algorithm to Generate a Minimum Spanning Tree.mp4 - 7.3 MB
    • 5. Working with Spanning Tree Algorithms/30. Understanding Prim's Algorithm to Generate a Minimum Spanning Tree.mp4 - 6.8 MB
    • 5. Working with Spanning Tree Algorithms/29. Understanding the Minimum Spanning Tree.mp4 - 3.3 MB
    • 5. Working with Spanning Tree Algorithms/28. Introducing Spanning Tree Algorithms.mp4 - 2.3 MB
    • Torrent downloaded from bt-scene.cc.txt - 0.3 KB

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