Explain sorting algorithms with a simple example
The short version: sorting algorithms refers to methods for arranging data in order, differing in speed and memory use. A quick example makes it concrete — Merge sort runs in O(n log n) and is stable; quicksort is faster in practice but not stable.
How to approach it step by step
Once one example makes sense, the method generalises: match the algorithm to the data size and whether stability matters. In a visual interactive session the example is built on screen piece by piece, so you see which quantity changes at each step instead of only reading a final answer. Ask for a harder variant and the explanation adapts on the spot.
Worked example
Merge sort runs in O(n log n) and is stable; quicksort is faster in practice but not stable.
The mistake most learners make
Assuming bubble sort is acceptable for large datasets.
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