<ul><li>Time complexity is a tool for algorithm analysis that helps you calculate roughly how fast your algorithm is. It measures the number of operations in an algorithm.</li><li>Big O notation, denoted as O(f(n)), is used to represent time complexity.</li><li>Constant factors and lower-order terms are ignored in time complexity calculations.</li><li>Examples of different time complexities, such as O(1), O(n), O(nm), O(n^2), O(log n), and O(sqrt(n)), are provided.</li></ul>

Big O Notation Explained: How to Analyze Your Algorithm’s Speed

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