Determine Shortest Paths Between Routers Using Python

von
Coursera Project Network
In diesem angeleitetes Projekt werden Sie:

Create an Adjacency List using a Python Dictionary where each entry is a List.

Add the Python function to find the shortest paths to each vertex from the source vertex.

Add the function to populate the adjacency list of edges from a file using a Python Dictionary container.

Clock2 hours
IntermediateMittel
CloudKein Download erforderlich
VideoVideo auf geteiltem Bildschirm
Comment DotsEnglisch
LaptopNur Desktop

By the end of this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of routers loaded from a file. The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in mapping. Another common application for its use is in computer networking routing to find the shortest trip for a packet. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Kompetenzen, die Sie erwerben werden

  • Python Read CSV
  • Python Programming
  • Python Default Dictionary
  • Python Adjacency List
  • Shortest Path Problem

Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

  1. Analyze the shortest distance problem and Create the Python Edge Class.

  2. Create an Adjacency List using a Python Dictionary where each entry is a List.

  3. Add a Python function to find minimum distance between the source vertex and the other vertices.

  4. Add the Python function to find the shortest paths to each vertex from the source vertex.

  5. Add the function to populate the adjacency list of edges from a file using a Python Dictionary container.

Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

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