Lists are just like dynamically sized arrays, declared in other languages (vector in C++ and ArrayList in Java). Lists need not be homogeneous always which makes it the most powerful tool in Python. A single list may contain DataTypes like Integers, Strings, as well as Objects. Lists are mutable, and hence, they can be altered even after their creation.
List in Python are ordered and have a definite count. The elements in a list are indexed according to a definite sequence and the indexing of a list is done with 0 being the first index. Each element in the list has its definite place in the list, which allows duplicating of elements in the list, with each element having its own distinct place and credibility.
Note- Lists are a useful tool for preserving a sequence of data and further iterating over it.
Table of content:
- Creating a List
- Knowing the size of List
- Adding Elements to a List:
- Accessing elements from the List
- Removing Elements from the List:
- Slicing of a List
- List Comprehension
- Operations on List
- List Methods
Creating a List
Lists in Python can be created by just placing the sequence inside the square brackets. Unlike Sets, a list doesn’t need a built-in function for the creation of a list.
Note – Unlike Sets, the list may contain mutable elements.
Blank List:  List of numbers: [10, 20, 14] List Items Geeks Geeks Multi-Dimensional List: [['Geeks', 'For'], ['Geeks']]
Creating a list with multiple distinct or duplicate elements
A list may contain duplicate values with their distinct positions and hence, multiple distinct or duplicate values can be passed as a sequence at the time of list creation.
List with the use of Numbers: [1, 2, 4, 4, 3, 3, 3, 6, 5] List with the use of Mixed Values: [1, 2, 'Geeks', 4, 'For', 6, 'Geeks']
Knowing the size of List
Adding Elements to a List
Using append() method
Elements can be added to the List by using the built-in append() function. Only one element at a time can be added to the list by using the append() method, for the addition of multiple elements with the append() method, loops are used. Tuples can also be added to the list with the use of the append method because tuples are immutable. Unlike Sets, Lists can also be added to the existing list with the use of the append() method.
Initial blank List:  List after Addition of Three elements: [1, 2, 4] List after Addition of elements from 1-3: [1, 2, 4, 1, 2, 3] List after Addition of a Tuple: [1, 2, 4, 1, 2, 3, (5, 6)] List after Addition of a List: [1, 2, 4, 1, 2, 3, (5, 6), ['For', 'Geeks']]
Using insert() method
append() method only works for the addition of elements at the end of the List, for the addition of elements at the desired position, insert() method is used. Unlike append() which takes only one argument, the insert() method requires two arguments(position, value).
Initial List: [1, 2, 3, 4] List after performing Insert Operation: ['Geeks', 1, 2, 3, 12, 4]
Using extend() method
Other than append() and insert() methods, there’s one more method for the Addition of elements, extend(), this method is used to add multiple elements at the same time at the end of the list.
Note – append() and extend() methods can only add elements at the end.
Initial List: [1, 2, 3, 4] List after performing Extend Operation: [1, 2, 3, 4, 8, 'Geeks', 'Always']
Accessing elements from the List
In order to access the list items refer to the index number. Use the index operator [ ] to access an item in a list. The index must be an integer. Nested lists are accessed using nested indexing.
Accessing a element from the list Geeks Geeks Accessing a element from a Multi-Dimensional list For Geeks
In Python, negative sequence indexes represent positions from the end of the array. Instead of having to compute the offset as in List[len(List)-3], it is enough to just write List[-3]. Negative indexing means beginning from the end, -1 refers to the last item, -2 refers to the second-last item, etc.
Accessing element using negative indexing Geeks For
Removing Elements from the List
Using remove() method
Elements can be removed from the List by using the built-in remove() function but an Error arises if the element doesn’t exist in the list. Remove() method only removes one element at a time, to remove a range of elements, the iterator is used. The re() method removes the specified item.
Note – Remove method in List will only remove the first occurrence of the searched element.
Initial List: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] List after Removal of two elements: [1, 2, 3, 4, 7, 8, 9, 10, 11, 12] List after Removing a range of elements: [7, 8, 9, 10, 11, 12]
Using pop() method
Pop() function can also be used to remove and return an element from the list, but by default it removes only the last element of the list, to remove an element from a specific position of the List, the index of the element is passed as an argument to the pop() method.
List after popping an element: [1, 2, 3, 4] List after popping a specific element: [1, 2, 4]
Slicing of a List
In Python List, there are multiple ways to print the whole List with all the elements, but to print a specific range of elements from the list, we use the Slice operation. Slice operation is performed on Lists with the use of a colon(:). To print elements from beginning to a range use [: Index], to print elements from end-use [:-Index], to print elements from specific Index till the end use [Index:], to print elements within a range, use [Start Index:End Index] and to print the whole List with the use of slicing operation, use [:]. Further, to print the whole List in reverse order, use [::-1].
Note – To print elements of List from rear-end, use Negative Indexes.
Initial List: ['G', 'E', 'E', 'K', 'S', 'F', 'O', 'R', 'G', 'E', 'E', 'K', 'S'] Slicing elements in a range 3-8: ['K', 'S', 'F', 'O', 'R'] Elements sliced from 5th element till the end: ['F', 'O', 'R', 'G', 'E', 'E', 'K', 'S'] Printing all elements using slice operation: ['G', 'E', 'E', 'K', 'S', 'F', 'O', 'R', 'G', 'E', 'E', 'K', 'S']
Negative index List slicing
Initial List: ['G', 'E', 'E', 'K', 'S', 'F', 'O', 'R', 'G', 'E', 'E', 'K', 'S'] Elements sliced till 6th element from last: ['G', 'E', 'E', 'K', 'S', 'F', 'O'] Elements sliced from index -6 to -1 ['R', 'G', 'E', 'E', 'K'] Printing List in reverse: ['S', 'K', 'E', 'E', 'G', 'R', 'O', 'F', 'S', 'K', 'E', 'E', 'G']
List comprehensions are used for creating new lists from other iterables like tuples, strings, arrays, lists, etc.
A list comprehension consists of brackets containing the expression, which is executed for each element along with the fo
newList = [ expression(element) for element in oldList if condition ]
[1, 9, 25, 49, 81]
For better understanding, the above code is similar to –
[1, 9, 25, 49, 81]
Refer to the below articles to get detailed information about List Comprehension.
- Python List Comprehension and Slicing
- Nested List Comprehensions in Python
- List comprehension and ord() in Python
Operations on List
- Find length of list
- Iterate over a list in Python
- Concatenating two lists in Python
- List Membership Test
|Append()||Add an element to the end of the list|
|Extend()||Add all elements of a list to another list|
|Insert()||Insert an item at the defined index|
|Remove()||Removes an item from the list|
|Pop()||Removes and returns an element at the given index|
|Clear()||Removes all items from the list|
|Index()||Returns the index of the first matched item|
|Count()||Returns the count of the number of items passed as an argument|
|Sort()||Sort items in a list in ascending order|
|Reverse()||Reverse the order of items in the list|
|copy()||Returns a copy of the list|
Built-in functions with List
|reduce()||apply a particular function passed in its argument to all of the list elements stores the intermediate result and only returns the final summation value|
|sum()||Sums up the numbers in the list|
|ord()||Returns an integer representing the Unicode code point of the given Unicode character|
|cmp()||This function returns 1 if the first list is “greater” than the second list|
|max()||return maximum element of a given list|
|min()||return minimum element of a given list|
|all()||Returns true if all element is true or if the list is empty|
|any()||return true if any element of the list is true. if the list is empty, return false|
|len()||Returns length of the list or size of the list|
|enumerate()||Returns enumerate object of the list|
|accumulate()||apply a particular function passed in its argument to all of the list elements returns a list containing the intermediate results|
|filter()||tests if each element of a list is true or not|
|map()||returns a list of the results after applying the given function to each item of a given iterable|
|lambda()||This function can have any number of arguments but only one expression, which is evaluated and returned.|
More on Python List –
- Creating a 3D List
- Iterate over a list in Python
- Iterate over multiple lists simultaneously
- Internal working of list in Python
- Python Slicing
- Python List Comprehensions vs Generator Expressions
- List Methods in Python – Set 1 Set 2
- Lambda expression and filter function
- Recent Articles on Python List
- Python Tutorials
- Python Output Programs in List: Set 6, Set 11, Set 12, Set 13
- Multiple Choice Questions
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