Sorting Techniques — Python 3.14.7 documentation

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The list.sort() method and the functions sorted(), min(), max(), heapq.nsmallest(), and heapq.nlargest() have a key parameter to specify a function (or other callable) to be called on each list element prior to making co

Operator Module Functions and Partial Function Evaluation¶

The key function patterns shown above are very common, so Python provides convenience functions to make accessor functions easier and faster. The operator module has itemgetter(), attrgetter(), and a methodcaller() funct

operator: Functions corresponding to the standard operators.

The key function patterns shown above are very common, so Python provides convenience functions to make accessor functions easier and faster. The operator module has itemgetter(), attrgetter(), and a methodcaller() funct

functools: Higher-order functions and operations on callable objects.

The key function patterns shown above are very common, so Python provides convenience functions to make accessor functions easier and faster. The operator module has itemgetter(), attrgetter(), and a methodcaller() funct

Ascending and Descending¶

Both list.sort() and sorted() accept a reverse parameter with a boolean value. This is used to flag descending sorts. For example, to get the student data in reverse age order:

Ascending and Descending¶

Both list.sort() and sorted() accept a reverse parameter with a boolean value. This is used to flag descending sorts. For example, to get the student data in reverse age order:

Comparison Functions¶

Unlike key functions that return an absolute value for sorting, a comparison function computes the relative ordering for two inputs.

Strategies For Unorderable Types and Values¶

A number of type and value issues can arise when sorting. Here are some strategies that can help: