When we talk about the difference between sort and sorted in Python the first thing that comes to our mind is what sorting? Python makes it simple to sort any sequence since it includes built-in sorting functions. Sort() and Sorted() in Python are very different sorting methods.
The sort() function returns nothing and modifies the existing sequence, but the sorted() function generates an entirely new sequence type creating a sorted version of the input sequence. Let’s discuss:
The sort() function, like the Sorted Function, is used to sort data, however, it has several different applications. It is a list method, which means it can only be used for sorting lists. The sort() function returns nothing, so it modifies the object delivered, i.e., the original sequence.
Syntax: list_name.sort(key, reverse=False)
There are 2 parameters passed in the sort() built-in method, i.e:
1. Key: This is an optional parameter. This serves as a basis for analysis and sorting.
2. Reverse: This is an optional parameter. It is a boolean variable, which means that if set to True, the variable is sorted in descending order; otherwise, it is sorted in ascending order. The default value for reverse is false.
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The sorted function is one of Python's most adaptable functions. It can also sort lists, sets, and dictionaries. It sorts in ascending order by default, but it can also sort in descending order using the reverse argument. For example, if the reverse parameter is set to true, the dictionary is sorted in descending order. The sorted function is distinguished by the fact that it does not change the object's original sequence; instead, it generates and returns a sorted copy of the item.
Syntax: sorted(iterable, key, reverse = True)`
There are 3 parameters passed in the sorted() built-in method, i.e:
1. Iterable: This is the Python object that requires sorting. It can be a sequence of values, i.e. a list, tuple, or string, or a collection.
2. Key: This is an optional parameter that serves as a basis for comparison and categorization.
3. Reverse: This is an optional parameter. It is a boolean variable, which means that if set to True, the variable is sorted in descending order; otherwise, it is sorted in ascending order. The default value for reverse is false.
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find below the table to understandsort and sorted difference in python
Sort() Method |
Sorted() Method |
The Sort() function only works on lists. |
The Sorted() function can be used in both sequences and collections. |
It sorts the item in place and returns nothing. |
It produces a sorted list of the iterable that was provided. |
It sorts the original sequence, often known as in-place sorting. |
It makes a sorted copy of the Python object. |
It uses two parameters: key and reverse. |
It uses three parameters: iterable, key, and reverse. |
Syntax: list_name.sort(key, reverse=False) |
Syntax: sorted(iterable, key, reverse = True) |
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Example 1: Using the sort() method with a list in Python.
Code
Output
Explanation: In this example, the above code sorts a list of numbers directly, changing the order of the elements in the original list. It then writes out the sorted list.
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Example 2: Using the sort() function to sort in decreasing order.
Code
Output
Explanation: In the above code we first establish a list to contain a sequence of unsorted sequence numbers. Then we use the sort() method, which sorts the list in place. Finally, we will have a sorted sequence of numbers.
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Example1: Using sorted() function with List in Python
Code:
Output
Example 2: Using Sorted() function with Set in Python
Code
Output
Example 3: Using Sorted() function with Dictionary in Python
Code
Output
Example 4: Using Sorted() function with String in Python
Code
Output
The following points are the Key differences between them:
While understanding sort() and sorted() both the sorted() function always returns a list. Also, take note that the sort() method is only usable on lists. The sets and dictionaries lack a sort() method because they are unordered collections of elements. Both functions sort data, but sort() sorts Python lists and sorted() sorts iterable data.
Q1. Which library is sorted in Python?
A: Sorting Algorithms in Python Libraries and Modules
Q2. Which sorting algorithm is best?
A: Quicksort is one of the most efficient sorting algorithms, which also makes it one of the most widely used. The first step is to choose a pivot number, which will separate the data, with smaller numbers on the left and larger numbers on the right.
Q3. Why is sorting important?
A: It is easier and faster to find items in a sorted list than in an unsorted list. Sorting algorithms can be used in a program to sort an array and then search for or write it to an ordered file or report. Imagine trying to find an item in a list without first sorting it.
Q4. Is set immutable in Python?
A: A set is mutable, meaning we can remove or add elements to it. Python sets are similar to mathematical sets, and operations such as intersection, union, and symmetric difference can be used.