Exploring Big O Notation in JavaScript with Next Level Bootcamp

Today I started exploring Big O Notation in JavaScript. I’m learning DSA from the Next Level Web Development Bootcamp, and honestly, this topic first looked super confusing. But after spending some time with it, I kind of understood the first 3 — O(1), O(n), and O(n²). Here’s how I understood it (in simple words): O(1) → fixed time, like accessing an array item. O(n) → time increases as data increases, like looping through an array. O(n²) → loop inside a loop — takes way more time as data grows. I didn’t understand everything yet, just exploring slowly and trying to make sense of it with small code examples: https://lnkd.in/eNXYxT6j How did you first understand Big O? Any beginner-friendly resources or analogies? #NextLevelProgramming #LearningInPublic #JavaScript #BigONotation #DSA

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