<ul data-eligibleForWebStory="false"><li>Space complexity measures how much extra memory an algorithm requires relative to its input size.</li><li>Time complexity describes how long an algorithm will take to execute in relation to the input size.</li><li>Time and space complexity are measured using Big-O notation, which employs algebraic terms to describe the complexity of the code.</li><li>Algorithms with higher time or space complexity can lead to inefficiencies, system freezes, and memory leaks.</li></ul>

A travel between space and time… complexity

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