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HomeBackend DevelopmentPython Tutorial`sorted(list)` vs. `list.sort()`: When to Use Which Sorting Method?

`sorted(list)` vs. `list.sort()`: When to Use Which Sorting Method?

Understanding the Distinction Between sorted(list) and list.sort()

In-Place Modifications vs. New Objects

One key difference between sorted(list) and list.sort() lies in how they affect the original list. list.sort() performs an in-place sorting operation, modifying the order of elements within the original list. In comparison, sorted(list) returns a new list containing a sorted copy of the original list, leaving the original list unaltered.

Usage Considerations

When choosing between sorted(list) and list.sort(), consider the following scenarios:

  • Use list.sort() when you want to sort the original list directly and do not need a new sorted object. This option is preferred when performance is a priority, as in-place sorting is generally more efficient.
  • Use sorted(list) when you need a sorted copy of the list without modifying the original list. This is useful when you need to retain the original order of elements for further processing or to avoid accidentally overwriting the original list.
  • Use sorted() to sort any iterable, including strings, tuples, and dictionaries, into a new sorted list.

Efficiency

For lists specifically, list.sort() is generally more efficient than sorted(list) because it does not need to create a copy of the list. The difference in efficiency becomes more pronounced as the list size increases.

Undoing In-Place Sorting

Once list.sort() has been performed, it is not possible to revert the original list to its unsorted state. The original order of elements is irretrievably lost.

Additional Tips

  • To debug issues where the result of .sort() is inadvertently assigned instead of using sorted or a separate statement, refer to "Why do these list operations (methods) return None, rather than the resulting list?"

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