Time Complexity Explained for Beginners | Big-O (O(1), O(n), O(n²), O(log n))

Описание: In this video, we learn Time Complexity from scratch in a very simple and beginner-friendly way.

If you are starting your DSA journey, this is one of the most important topics to understand. Time complexity helps you write efficient and scalable code. It also plays a big role in coding interviews.

In this video, you will understand:
• What time complexity really means
• Why Big-O notation is important
• O(1), O(n), O(n²), O(log n) explained clearly
• How loops affect time complexity
• Why constants are ignored in Big-O
• How to analyze JavaScript functions step by step
• Why Binary Search is O(log n)

We also write and analyze real JavaScript examples so you can understand practically.

📂 PPT Used in This Video
You can download the complete PPT from here:
👉 MS OneDrive PPT Link:
https://1drv.ms/p/c/d9a1d5f2dacf7aea/...

📚 DSA Foundations Series Playlist
Start the full DSA series here:
👉    • DSA Foundations in JavaScript | Big-O, Arr...  

🌐 Web Development Playlist
Learn HTML, CSS, JavaScript, React and more here:
👉    • Web Development Series – HTML to MERN Full...  

If you are serious about becoming a strong developer, make sure you understand this topic properly before moving forward.

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