Mastering Algorithms and Data Structures in PythonMastering Graphs in Python

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.

Exploring Social Network Connections with an Adjacency Matrix

Change the Social Network Connections

Debugging the Friend Suggestions Algorithm

Adding Overlapping Teams Relationships Using an Adjacency Matrix

Building and Manipulating a Social Network with Adjacency Lists

Adding a New Band Collaboration to the Graph

Fixing the Bus Route Map

Adding a New Route to the Tour Map

Exploring States with Depth-First Search

Adjusting the Start Node for DFS Traversal

Debug and Correct the DFS Traversal

Implementing DFS Traversal for University Courses

Undirected Graph Cycle Counting Algorithm Creation

Breadth-First Search in Action: Organizing a Space Party

Changing the Starting Point of BFS Traversal

Debugging BFS Traversal Algorithm

Implementing BFS Traversal from a Specific Start Node

Interstellar Shortest Path Finding in a Connected Graph