Quick Sort Explained: Pivot, Partition & Recursion

Sorting isn’t just a coding exercise — it’s a foundation for building fast, scalable systems.

In this video, we break down **Quick Sort**, one of the fastest comparison-based algorithms in real-world use. You’ll not only see how it works, but why it works — with a focus on pivot selection, in-place partitioning, and the power of recursion. We also trace each step of a Java implementation, walk through pointer logic, and analyze best vs worst case complexities — so you gain a real understanding of performance, not just syntax.

🎓 This is part of our Algorithms & System Thinking series — ideal for backend engineers, system designers, and anyone brushing up for interviews.

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📌 Timestamps
00:00 – Why Sorting Algorithm Choice Matters
0:59 – Quick Sort vs Other Algorithms
1:49 – Choosing a Pivot (First, Last, Random)
2:08 – Partitioning Logic (Less on Left, Greater on Right)
3:05 – Step-by-Step Visual Walkthrough
4:38 – Java Code for Quick Sort + Recursion
6:17 – Partition Function and Pointer Logic
7:27 – Time Complexity: Best, Average, Worst
7:51 – Space Complexity & Recursion Depth
9:11 – Outro: Merge Sort Teaser & Subscribe

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