When should I use Merge Sort?

When should I use Merge Sort over other sorting algorithms?

Merge Sort is ideal for large datasets and when stability is required. It's efficient with a time complexity of O(n log n).

Are there specific scenarios where Merge Sort is preferred?

Yes, it's preferred for sorting linked lists and when dealing with external sorting, like sorting data from disk.

What are the downsides of using Merge Sort?

The main downside is its space complexity of O(n), which can be a concern for memory-limited environments.

How does Merge Sort compare to Quick Sort?

Merge Sort is more stable and has a consistent O(n log n) time complexity, while Quick Sort is generally faster but less stable.

Can you give me an example of Merge Sort in action?

Sure! Imagine you have an array of numbers. Merge Sort divides it into halves, sorts each half, and then merges them back together.