Step 1: Understanding Time Complexity Time complexity is a way to describe how the number of operations grows as the input size increases. Analogy Think of time complexity like preparing a meal. The more ingredients (input size) you have, the more time it might take to prepare the meal (algorithm execution). Example in Python Consider […]

An algorithm, in the most general sense, is a series of steps that you take to accomplish a task. You use algorithms all the time in your daily life, from following a recipe to sorting a deck of cards. In computer science, algorithms are the procedures or formulas we use to solve problems. However, not […]