What is the best sorting technique for large datasets?

What is the best sorting technique for large datasets?

The best sorting technique often depends on the specific characteristics of the dataset. For large datasets, algorithms like QuickSort or MergeSort are commonly recommended due to their efficiency.

Can you explain why QuickSort is preferred?

QuickSort is preferred because it has an average-case time complexity of O(n log n) and performs well in practice, especially with large datasets.

Are there any scenarios where MergeSort is better?

Yes, MergeSort is stable and works well with linked lists and large datasets that don't fit into memory, as it can efficiently handle external sorting.

What about the space complexity of these algorithms?

QuickSort has a space complexity of O(log n) due to recursion, while MergeSort requires O(n) space for the temporary arrays used during sorting.

Can you suggest any libraries for implementing these algorithms?

Sure! For Python, you can use the built-in sorted() function, or libraries like NumPy and Pandas for efficient sorting of large datasets.