Graphs Library: Dijkstra's Shortest Path

This Python library provides an implementation of Dijkstra's shortest path algorithm and other graph-related utilities. The goal of this project is to practice packaging a Python library into a standardized format so it can be easily installed and used.

Repository Structure:

src/
├── graphs_asaqib1/
│   ├── __init__.py
│   ├── heapq.py
│   └── sp.py
├── test.py
├── README.md
└── pyproject.toml

*graphs_asaqib1/sp.py: Contains the implementation of Dijkstra’s shortest path algorithm
*graphs_asaqib1/heapq.py: Helper function for priority queue operations
*test.py: Script to test the library
*pyproject.toml: Packaging configuration
*README.md: This file which contains basic information about this library

Installation:

You can install the package using pip:

pip install asaqib1==0.0.9

Features:

*Finds the shortest paths from a source vertex to all other vertices in a weighted graph
*Supports extension with other graph algorithms
*Uses a min-heap to efficiently select the next vertex with the smallest known distance

Example:

For a graph with 9 vertices, the shortest path from vertex 0 to vertex 1 may have a cost of 4, and to vertex 8 may have a cost of 14.

Author Information

*Author: Alizah Saqib
*GitHub: https://github.com/asaqib1