Algorithm Time Complexity Explained | Polynomial vs Exponential Time

Why do some programs run instantly while others never finish? This video breaks down run time efficiency and explains how algorithms are categorized by time complexity. We explore constant, logarithmic, linear, quadratic, and exponential time, and explain the critical difference between reasonable polynomial time and unreasonable superpolynomial time. A must-watch for students preparing for coding interviews, algorithms exams, and computer science fundamentals.