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🚀 60 Days of Code – DSA Journey (Day 11) Today, I’m learning and breaking down Quick Sort in a crystal-clear and beginner-friendly way — focusing on core intuition, partitioning logic, recursion flow, and why its performance depends heavily on pivot selection. In this video, I explain everything from scratch, step by step, using a simple intuition example followed by a complete dry run, covering: ✔ Why Quick Sort is used even when Merge Sort exists ✔ Core idea & principle (Divide & Conquer) ✔ What a pivot is and how it works ✔ How partitioning rearranges elements around the pivot ✔ Why misplaced elements are swapped during partitioning ✔ How the pivot reaches its correct position ✔ How recursive calls are formed using the partition index ✔ Base case explanation (low == high) and empty subarrays ✔ Recursion tree intuition for time complexity ✔ Why Best & Average Case is O(n log n) ✔ Why Worst Case becomes O(n²) ✔ Space complexity explained using call stack behavior ✔ Why Quick Sort is in-place despite using recursion 📌 GitHub Code (Quick Sort Implementation): 👉 https://github.com/Aadi0729/Data-Stru... This series documents everything I learn daily as I improve my DSA skills — and explain it exactly the way I understand it, step by step, without skipping logic. 🎥 Full 60 Days DSA Playlist: 👉 • 60 Days of Code (DSA Journey) 💬 Let’s Learn Together! If you're also on a DSA journey, comment “Learning DSA” and let’s grow consistently day by day! #quicksort #sorting #dsa #divideandconquer #learninginpublic #dsachallenge #60daysofcode #cpp #beginners #algorithms