Shortest Paths

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prerequisites
basic Python, Jupyter Notebook, and tkinter
skills learned
defining classes that represent network nodes and links • saving and restoring networks • automatically building test networks • finding shortest paths in a network
Rod Stephens
1 week · 6-8 hours per week · BEGINNER
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In this liveProject, you’ll use Python algorithms to help find the shortest path between stops for a fleet management company. With trucks driving over 10 million miles per year, even slight time saving can be a huge cost reduction. You’ll build network classes, save, restore, and draw networks, use network algorithms to find shortest paths between locations, and lay the groundwork for future network applications.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

prerequisites

This liveProject is for Python programmers interested in experimenting and expanding their knowledge of algorithms. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basics of Python
  • Basics of Jupyter Notebook
  • Basics of tkinter
TECHNIQUES
  • Create a class
  • Define __init__ and __str__ methods
  • Work with lists and iterate through them
  • Create a tkinter interface

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