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Working with Graph Algorithms in Python

Working with Graph Algorithms in Python


Course Highlights

  • 2 Hours 14 Min of E-learning content, tests etc

  • Get an understanding of pros and cons of adjacency matrices, adjacency lists, adjacency sets,

  • With the help of our partners, we bring technology skills to the masses: Adobe, Microsoft, Oracle, Google,Unity & StackOverflow

  • Learn from industry experts

Mode of learning: Online self study

Course Overview

What are the course deliverables ?
  • Learn different kinds of graphs, their use cases, and how they're represented in code.

  • Explore common graph algorithms, such as the topological sort, used to model dependencies in tasks, build components, and manage projects.

  • By the end of this course, you'll have a better understanding of these principles and the necessary skills to implement them into simple, easy to follow Python code.

More about this course
  • This course focuses on how to represent a graph using three common classes of graph algorithms - the topological sort to sort vertices by precedence relationships, the shortest path algorithm, and finally the spanning tree algorithms

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