
JavaScript Data Structures & Algorithms – Essential Cheat Sheet! Mastering Time Complexity helps you write efficient code! 📌 Common Time Complexities: ✅ O(1) – Constant Time → Super fast! 🚀 ✅ O(log n) – Logarithmic Time → Efficient for large inputs 🔍 ✅ O(n) – Linear Time → Grows with input size 📈 ✅ O(n²) – Quadratic Time → Nested loops = slow! 🐌 ✅ O(2ⁿ) – Exponential Time → Avoid if possible! ❌ Understanding these can optimize your code & boost performance! 🔥 💡 Swipe for detailed examples! ➡️➡️ ❤️ Like & 🔁 Share if this helped! 🚀 Follow @CodingWithJD for more coding insights!
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