Interactive Python Lab

Quick Sort

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Data Flow Pipeline

advanced Track

Bubble Sort

Two Sum

Valid Parentheses

Merge Sort

Quick Sort

Heap Sort

Breadth-First Search

Depth-First Search

Binary Tree Traversal

Fibonacci (Recursive)

Samjhein

Line 16

arr = [64, 34, 25, 12, 22, 11, 90] — 7 elements to sort.

Yeh approach kyun?

Quick sort works in-place — no extra array. The original array gets rearranged through swaps during partitioning.

Structured Explanation

Overview

Quick sort: pivot choose karo, usse chhote elements left mein, bade right mein, phir dono sides recursively sort karo.

Analogy

Jaise class register karo — median height ke student ko pivot banao, chhote left, bade right.

Step-by-step

Pivot element choose karo (last/random/median)
Partition: pivot se chhote left, bade right
Dono partitions recursively sort karo
Base case: 0 ya 1 element

Visual

[3,6,8,10,1,2,1] pivot=1 -> [] + [1] + [3,6,8,10,2,1] -> recursively sort right side

Common mistakes

Always last element as pivot — worst case O(n^2) on sorted data
Partition logic ke off-by-one errors
Base case bhool jaana (n <= 1)

Practice questions

Quick sort implement karo
Lomuto vs Hoare partition implement karo

Complexity

Time

O(n log n) avg / O(n²) worst

Space

O(log n)

Complexity Overview

O(1)

O(log n)timespace

O(n)

O(n log n)time

O(n²)time

n = 8range 1-20

N = 8 pe

Complexity	Operations
O(1)	1
O(log n)	3
O(n)	8
O(n log n)	24
O(n²)	64

Challenge

Quick Sort

Hint

Pivot chuno, array ko partition karo, recursively sort karo.

Code Studio

Quick Sort

Monaco Ready

Python ready hai

lesson.pyline 16

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Output Console

0 lines

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Timeline

Data Structures

Heap Space (Objects & Structures)

HEAP • 0x7A61

arrlist ref

0

64

1

34

2

25

3

12

4

22

5

11

6

90

Real-World Applications

1

General-purpose fast in-place sorting

2

Cache-friendly hone ki wajah se practical applications mein best

3

Large random datasets mein average O(n log n)

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