#07 Understanding Time Complexity | How to calculate Time Complexity | Tan45Engineering

In this video, we focus on Time Complexity, a fundamental concept in the analysis of algorithms. Understanding time complexity is crucial for optimizing code and solving problems efficiently, especially when preparing for coding interviews.

What You'll Learn:
Introduction to Time Complexity: What it is and why it’s important in algorithm analysis.

Big O Notation: A comprehensive explanation of the most common time complexities, including O(1), O(n), O(log n), and more.
Step-by-Step Examples: Practical demonstrations of how to calculate time complexity for various algorithms.

Impact on Performance: How different time complexities affect the performance of algorithms as input size grows.
By the end of this video, you'll have a clear understanding of how to evaluate the efficiency of algorithms using time complexity, preparing you for coding challenges and interviews.

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