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Working with Graph Algorithms in Python

Course Summary

This course focuses on how to represent a graph using three common classes of graph algorithms - the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms.


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    Course Syllabus

    Course Overview
    - 1m 58s

    —Course Overview 1m 58s
    Introducing the Graph Data Structure
    - 49m 55s

    —Pre-requisites and Course Overview 2m 40s
    —Modeling Relationships Using Graphs 4m 12s
    —Directed and Undirected Graphs 1m 43s
    —Undirected Graphs, Trees, and Forests 4m 16s
    —Directed Graphs and Precedence Relationships 3m 9s
    —The Adjacency Matrix 3m 6s
    —Demo: Representing a Graph as an Adjacency Matrix 8m 26s
    —The Adjacency List and the Adjacency Set 3m 17s
    —Demo: Representing a Graph as an Adjacency Set 3m 53s
    —Comparing Graph Data Structures 3m 28s
    —Breadth-first and Depth-first Graph Traversal 5m 5s
    —Demo: Implementing Breadth-first Traversal in Python 3m 17s
    —Demo: Implementing Depth-first Traversal in Python 3m 19s
    Understanding Topological Sort
    - 19m 7s
    Working with Shortest Path Algorithms
    - 37m 43s
    Working with Spanning Tree Algorithms
    - 25m 35s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Open Source , Development & Implementations and Data & Information Management Community

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