Code Speed Secrets: Big O Explained! πŸš€ #coding #dsa

April 03, 2025

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Video Details

Style
Realistic
Genre
General
Voice
Amy
Language
English

Creative Input

Prompt

Create a video for a challane 100 days of DSA day 1 showing a student studying on computer

Script

🎬 **Opening Hook (First 3 seconds)**: "Ever wondered why some codes run fast while others take forever? It's all about *Time Complexity!* Let’s break it down!" πŸ“Œ **Main Content (15-30 sec):** "Time complexity tells us how fast an algorithm runs as the input grows. We use **Big O notation** to express it. Here’s a quick breakdown: πŸ”Ή **O(1)** - Constant time, like accessing an array element. πŸ”Ή **O(N)** - Linear time, like iterating a list. πŸ”Ή **O(NΒ²)** - Quadratic time, like nested loops. πŸ”Ή **O(2^N)** - Exponential time, common in recursion-heavy problems. The lower the complexity, the better the performance!" πŸ“Œ **Ending CTA (Call to Action, 5 sec):** "Follow for more DSA breakdowns! πŸ’‘ Drop a πŸ”₯ if you got this!"