📊 Sorting Algorithms

5 algorithms · animated bars · comparisons and swaps counter

Comparisons: 0
Swaps: 0
Status: Ready
What is this?

Sorting algorithms are step-by-step methods for arranging data in order. They are fundamental to computer science, powering every search engine, database, and data analysis system.

Why does it matter?

Without efficient sorting, search engines and databases would be thousands of times slower. Sorting builds core intuition about algorithm design, efficiency trade-offs, and complexity.

Key terms
Algorithm — a precise, step-by-step procedure to solve a problem Comparison — checking which of two elements is larger or smaller Big O notation — describes how an algorithm's runtime grows as input size increases Bubble sort — repeatedly swaps adjacent elements out of order; simple but slow O(n²) Merge sort — divides, sorts, then merges; fast and stable at O(n log n) Quick sort — picks a pivot and partitions the array; very fast on average O(n log n)
🎯 Try this challenge

Watch Bubble Sort on 8 random items and count the comparisons. Then run Quick Sort on the same data. Which used fewer steps? Can you explain why Quick Sort is faster?

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Internet Basics