This course is designed to demonstrate the representation of a graph using adjacency graphs and adjacency matrices in Python. A core part of the course is dedicated to implementing and utilizing BFS and DFS algorithms in graphs. Explore the comprehensive use of graph data structures in solving intricate interview-based algorithmic problems.
Overview
Syllabus
- Lesson 1: Building and Analyzing Graphs with the Adjacency Matrix
- Lesson 2: Building and Analyzing Graphs with the Adjacency List
- Lesson 3: Understanding and Implementing Depth-First Search (DFS) for Graphs
- Lesson 4: Discovering Connected Components in a Graph Using Depth-First Search
- Lesson 5: Unveiling the Breadth-First Search Algorithm for Graph Traversal
- Lesson 6: Finding the Shortest Path in Graphs with BFS Algorithm
