python graph data structure example
on channel: CodeGrip
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In this tutorial, we will explore the implementation of a basic graph data structure in Python. Graphs are versatile data structures used to represent relationships between entities. We will create a simple directed graph using an adjacency list representation.
A graph is composed of vertices (nodes) and edges that connect these vertices. The adjacency list representation uses a dictionary where each vertex is a key, and the corresponding value is a list of vertices connected to it.
Let's start by creating a basic Graph class:
Now, let's create an instance of the Graph class, add some vertices, and connect them with edges:
The output should be:
Let's implement a depth-first search (DFS) algorithm to traverse the graph:
The output should be:
Feel free to explore other graph algorithms like breadth-first search, finding connected components, shortest paths, etc., and expand the functionality of the Graph class accordingly.
This tutorial provides a simple introduction to implementing a graph data structure in Python. Depending on your specific use case, you can enhance the graph with additional features and algorithms.
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