Reversing a List in Python - GeeksforGeeks
Another efficient way to reverse a list is by using list slicing. This method creates a newlist that contains the elements of the original list in reverse order. See more
Python’s built-in reversed() function is another way to reverse the list. However, reversed()returns an iterator, so it needs to be converted back … See more
We can also use list comprehensionto reverse the list, although this is less common than the other methods mentioned. … See more
If we want to reverse a list manually, we can use a loop (for loop) to build a new reversed list. This method is less efficient due to repeated … See more
- 1. reverse(): Use for in-place modification when we don’t need the original list
- 2. List Slicing ([::-1]): Use to quickly create a reversed copy without modifying the original list
- 3. r… See more
Python List reverse() Method - W3Schools
Reverse the order of the fruit list: The reverse() method reverses the sorting order of the elements. No parameters. The built-in function reversed () returns a reversed iterator object. …
- 123
Reversing a list in Python can be done using several methods. The most common and straightforward way is by using the reverse() method, which reverses the elements of the list in place.
Using reverse() Method
The reverse() method reverses the elements of the list in place and does not return any value1.
fruits = ['apple', 'banana', 'cherry']fruits.reverse()print(fruits) # Output: ['cherry', 'banana', 'apple']Using Slicing
Another way to reverse a list is by using slicing. This method creates a new list that is the reverse of the original2.
lst = [10, 11, 12, 13, 14, 15]reversed_lst = lst[::-1]print(reversed_lst) # Output: [15, 14, 13, 12, 11, 10]Using reversed() Function
The reversed() function returns an iterator that accesses the given sequence in the reverse order3.
lst = [10, 11, 12, 13, 14, 15]print(list(reversed(lst))) # Output: [15, 14, 13, 12, 11, 10]Using For Loop
You can also use a for loop to reverse a list by iterating over it from the end to the beginning2.
How do I reverse a list or loop over it backwards?
Oct 15, 2010 · There are three different built-in ways to reverse a list. Which method is best depends on whether you need to: Reverse an existing list in-place (altering the original list …
- Reviews: 2
How to Reverse a Python List (6 Ways) - datagy
Oct 22, 2021 · Learn how to use Python to reverse a list in different ways, such as using the .reverse() method, the reversed() function, list indexing, for loops, list comprehensions, and the slice method. Compare the execution times and …
Python List Reverse() - GeeksforGeeks
Oct 23, 2024 · The reverse() method is an inbuilt method in Python that reverses the order of elements in a list. This method modifies the original list and does not return a new list, which …
- Estimated Reading Time: 2 mins
How to reverse a list in Python - Codecademy
List slicing provides a way to reverse a list by creating a new list with elements in reverse order. This approach is intuitive and doesn’t alter the original list, making it a good choice when the …
Python List reverse() - Programiz
Learn how to reverse the order of a list using the reverse() method or the slicing operator. See examples, syntax, and output of the reverse() method.
Reverse a list, string, tuple in Python (reverse, reversed)
Aug 16, 2023 · Learn how to reverse a list, a string, or a tuple in Python using different methods and functions. See examples of reverse(), reversed(), and slicing for each type of sequence.
How to Reverse a List in Python? - Python Guides
Mar 10, 2025 · Learn how to reverse a list in Python using methods like the reverse() function, slicing (list[::-1]), and the reversed() function, enabling efficient data manipulation and retrieval.
Python Reverse List Using reverse() reversed() and Slicing
Feb 19, 2020 · Python list class comes with the default reverse () function that inverts the order of items in the given list. It doesn’t create a new list object instead straightway modifies the original copy. It is the most recommended …