python sort order

Опубликовано: 08 Октябрь 2024
на канале: LogicGPT

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sorting is a fundamental operation in programming, and python provides a versatile sorting mechanism through the sorted() function. understanding the sort order is crucial when working with different data types and custom objects. this tutorial will cover the basics of python sort order, including sorting lists, tuples, and custom objects.
in python, the sorted() function is used to sort iterable objects like lists and tuples. by default, it sorts elements in ascending order. let's start with a simple example:
in this example, sorted_numbers will be [1, 1, 2, 3, 3, 4, 5, 5, 5, 6, 9].
for descending order, you can use the reverse parameter:
this will result in [9, 6, 5, 5, 5, 4, 3, 3, 2, 1, 1].
strings are sorted lexicographically, meaning they are sorted based on their ascii values. for case-insensitive sorting, you can use the key parameter with str.lower:
this will output ['apple', 'banana', 'kiwi', 'orange'].
when dealing with custom objects, you can use the key parameter to specify a function that extracts a comparison key from each element. let's consider sorting a list of dictionaries based on a specific key:
this will result in a list sorted by age: [{'name': 'alice', 'age': 25}, {'name': 'john', 'age': 30}, {'name': 'bob', 'age': 35}].
in python 3, the functools.cmp_to_key function allows you to convert an old-style comparison function to a key function. this is useful when dealing with complex custom sorting requirements. for instance, sorting a list of tuples based on multiple criteria:

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