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Choosing the best sorting algorithm depends on factors like dataset size. For large datasets, the native sort() function is often the best choice. In JavaScript (V8 engine) and Python, it uses TimSort, a hybrid of Merge Sort and Insertion Sort. TimSort is efficient with large, partially sorted data, offering O(n log n) worst-case performance. It's a great option for BigSort tasks, providing both speed and stability.
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Big Sorting
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Choosing the best sorting algorithm depends on factors like dataset size. For large datasets, the native sort() function is often the best choice. In JavaScript (V8 engine) and Python, it uses TimSort, a hybrid of Merge Sort and Insertion Sort. TimSort is efficient with large, partially sorted data, offering O(n log n) worst-case performance. It's a great option for BigSort tasks, providing both speed and stability.