In the world of computer science and programming, understanding the efficiency and performance of algorithms is crucial. Time complexity and Big O notation are two concepts that play a significant role in measuring the efficiency of algorithms and helping developers analyze their code. In this article, we will explore the intricacies of time complexity, delve into the principles of Big O notation, and understand their importance in optimizing code.
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