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TORRENT DETAILS

Pluralsight - Working With Graph Algorithms In Python

TORRENT SUMMARY

Pluralsight - Working with Graph Algorithms in Python

Status:	All the torrents in this section have been verified by our verification system
Category:	eBooks
Infohash:	09c3da2c634d952e6f399fd8114a5e84d6f3410a
Size:	217.4 MB in 33 files
Release Date(s):	Torrent Release: 12-08-2017 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

Pluralsight - Working with Graph Algorithms in Python

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FILE LIST

Filename		Size
	1. Course Overview/01. Course Overview.mp4	3.6 MB
	2. Introducing the Graph Data Structure/02. Pre-requisites and Course Overview.mp4	4.1 MB
	2. Introducing the Graph Data Structure/03. Modeling Relationships Using Graphs.mp4	6.8 MB
	2. Introducing the Graph Data Structure/04. Directed and Undirected Graphs.mp4	2.5 MB
	2. Introducing the Graph Data Structure/05. Undirected Graphs, Trees, and Forests.mp4	5.5 MB
	2. Introducing the Graph Data Structure/06. Directed Graphs and Precedence Relationships.mp4	4.4 MB
	2. Introducing the Graph Data Structure/07. The Adjacency Matrix.mp4	4.9 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/09. The Adjacency List and the Adjacency Set.mp4	5 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/11. Comparing Graph Data Structures.mp4	5.1 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/13. Demo - Implementing Breadth-first Traversal in Python.mp4	5.3 MB
	2. Introducing the Graph Data Structure/14. Demo - Implementing Depth-first Traversal in Python.mp4	5.5 MB
	3. Understanding Topological Sort/15. Maintaining Precedence Relationships with Topological Sort.mp4	4.1 MB
	3. Understanding Topological Sort/16. Representing Dependencies with the Directed Acyclic Graph.mp4	7.2 MB
	3. Understanding Topological Sort/17. The Toplogical Sort Algorithm.mp4	3.3 MB
	3. Understanding Topological Sort/18. Understanding the Toplogical Sort Implementation.mp4	7.5 MB
	3. Understanding Topological Sort/19. Demo - Implementing Toplogical Sort in Python.mp4	7.6 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 KB
	4. Working with Shortest Path Algorithms/22. Backtracking Using the Distance Table.mp4	7 MB
	4. Working with Shortest Path Algorithms/23. Building the Distance Table.mp4	7 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/25. Understanding Dijkstra's Algorithm.mp4	4.5 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/27. Demo - Implementing Dijkstra's Algorithm in Python.mp4	14.8 MB
	5. Working with Spanning Tree Algorithms/28. Introducing Spanning Tree Algorithms.mp4	2.3 MB
	5. Working with Spanning Tree Algorithms/29. Understanding the Minimum Spanning Tree.mp4	3.3 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/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/33. Demo - Implementing Kruskal's Algorithm in Python.mp4	12.3 MB

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