W4_L2: Representing graphs

Welcome to Week 4 Lecture 2 of the course "Programming, Data Structures and Algorithms using Python" by Prof. Madhavan Mukund. Full Course: https://study.iitm.ac.in/ds/course_pages/BSCS2002.html Video Overview This lecture explains how to represent graphs in a form that algorithms can process and manipulate efficiently. Moving beyond visual diagrams, we explore two fundamental graph representations — the adjacency matrix and the adjacency list. The lecture compares their strengths and limitations in terms of space efficiency and computational complexity, illustrating how these structures support essential operations such as identifying neighbors and determining reachability within a graph. By the end, you’ll understand how the choice of representation directly impacts the performance of graph algorithms. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a foundation certificate from IITM CODE (Centre for Outreach and Digital Education), diploma(s) from IIT Madras, or BSc/BS degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #graph #datastructures #adjacencyMatrix #adjacencyList #algorithms #graphRepresentation #vertex #edge #computerScience #programming #dataStructuresAndAlgorithms #reachability #graphTraversal #IITMadras #PythonProgramming #AlgorithmDesign #GraphTheory #GraphAlgorithms