Math & Optimizations: Introducing Graphs & Graph Operations

Math    |    Intermediate
  • 12 videos | 1h 28m 41s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 35 users Rating 4.4 of 35 users (35)
The graph data structure plays a significant role in modeling entities in the real world. A graph comprises nodes and edges that are used to represent entities and relationships, respectively. A graph can be used to model a social network or a professional network, roads and rail infrastructure, and telecommunication and telephone networks. Through this course, you'll explore graph data structure, graph components, and different types of graphs and their use cases. Start by discovering how to represent directed, undirected, weighted, and unweighted graphs in NetworkX. You'll then learn more about visualizing nodes and connections in graphs using Matplotlib. This course will also help you examine how to implement graph algorithms on all graph types using NetworkX. Upon completing this course, you will have the skills and knowledge to create and work with graphs using NetworkX in Python.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Model entities and relationships in the real world using graphs
    Recognize the different types of graphs, their characteristics, and use cases
    Create undirected graphs using networkx
    Associate attributes with the graph, individual nodes, and individual edges
    Create directed graphs using networkx
  • Compute the degree of a graph node
    Identify predecessors and successors in a directed graph
    Compute simple cycles, triangles, and edge covers using networkx
    Perform topological sorting in a directed acyclic graph
    Compute the shortest path and a minimum spanning tree for a graph
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 5s
  • 7m 57s
  • Locked
    3.  Types of Graphs
    8m 20s
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    4.  Creating Undirected Graphs Using NetworkX
    10m 43s
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    5.  Adding Attributes to Graphs Nodes and Edges
    12m
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    6.  Creating Directed Graphs Using NetworkX
    9m 9s
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    7.  Computing Degree of a Node
    6m 6s
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    8.  Understanding Predecessors and Successors
    5m 23s
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    9.  Computing Simple Cycles, Triangles, and Edge Covers
    6m 35s
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    10.  Performing Topological Sort
    8m 31s
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    11.  Computing Shortest Path and Minimum Spanning Tree
    9m 55s
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    12.  Course Summary
    1m 57s

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