Time Complexity & Big O notation Explained in Telugu | srkodes

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-------------------------------------------------------------------------------------- In this video, we dive deep into Time Complexity and Big O Notation, two fundamental concepts in computer science and programming. Whether you're just starting out with coding or preparing for coding interviews, understanding time complexity is essential to writing efficient algorithms.

I'll explain Big O Notation in simple terms, with clear examples and Python code demonstrations. This tutorial is designed to make complex topics easy to understand for beginners, with explanations entirely in Telugu.

By the end of this video, you'll be able to:

Understand the concept of time complexity
Learn how to analyze algorithms and measure their efficiency
Get familiar with different types of time complexities (e.g., O(1), O(n), O(log n), etc.)
Apply these concepts in real-world coding problems
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🔗 External Study Resources for Deep Dive:
Time Complexity Explained - Big O Cheat Sheet ➡️https://www.bigocheatsheet.com