Member-only story
Contents
1. Introduction
2. Bubble Sort
3. Merge Sort
4. Insertion Sort
5. Quick Sort
6. Heap Sort
7. Tim Sort
8. Radix Sort
9. When to Use Which Sorting Algorithm
The codes in this post are available here.
1. Introduction
Sorting is like tidying up your room after a wild party. But instead of picking up empty cups and crumpled napkins, we’re wrangling data. Imagine a chaotic array of numbers, letters, or even mystical runes (hey, we don’t judge). Our mission? To transform this unruly mess into a neat, orderly sequence.
Why Sort?
Before we dive into the nitty-gritty, let’s ponder the cosmic significance of sorting. Why bother? Well, my fellow data voyagers, sorting isn’t just about aesthetics. It’s about efficiency, searchability, and making sense of the universe (okay, maybe not the last part).
- Searchability: Imagine a phone book (remember those?). Without sorting, finding “Zachary Zebra” would involve flipping through pages like a caffeinated squirrel. Sorted? Bam!
