Working with Graph Algorithms in Python

Description

In this course,

First, you'll dive into understanding the pros and cons of adjacency matrices, adjacency lists, adjacency sets, and know when you would choose one data structure over another.

Next, you'll explore common graph algorithms, such as the topological sort, used to model dependencies in tasks, build components, and manage projects. Additionally, you'll cover how to find the shortest path in a graph, the core algorithm for mapping technologies.

Lastly, you'll be introduced to spanning tree algorithms, which are used to find a path and covers all nodes with minimum cost, the fundamental algorithm behind figuring flight paths, and bus routes. 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.