How can I speed up my Python sorting function for large datasets?

You might want to share your actual code first. Using a custom sorting algorithm often isn't necessary because Python's built-in sorting is highly optimized. It's possible that your code has some inefficiencies that we can help you identify. If your code is already ok, then consider multi-threading as a solution, but keep in mind that it could also slow things down in some cases.

Sorting hundreds of items should be almost instant. If you’re seeing delays, it’s likely due to an issue in your implementation. Make sure you're using Python's built-in `sort()` or `sorted()` functions. They use highly efficient algorithms and would be the best choice for sorting in most scenarios.

Wait, you're saying your sorting approach is slow for hundreds of elements? Is your computer operating on a hand crank or something? That’s pretty unusual!

Just to clarify, when you say "sort," are you referring to arranging values in ascending or descending order? If that's the case, sticking with the built-in functions like `sort()` or `sorted()` is usually the way to go, especially for smaller lists. These methods are designed to handle sorting efficiently.