A list refers to a data structure in Python that is an ordered sequence of elements and it is mutable in nature. Furthermore, Python mutable lists may involve various data types like objects, integers and strings. Moreover, the lists, due to their mutable nature, can be altered after their creation.
Understanding Mutable Lists in Python
The characteristics of mutable lists in Python, a programming language, are just like dynamic sized arrays, declared in other languages, ArrayList in Java and vector in C++. Moreover, there is no need for the mutable lists to be homogeneous always. This makes them the most powerful tool in Python.
A single list in Python may involve various data types like strings, integers, and objects. Furthermore, its alteration is possible even after its creation due to its mutable nature.
Mutable lists in Python have a definite count and they are also ordered. Furthermore, the indexing of a list of elements takes place in accordance with a definite sequence. Moreover, the indexing of a list takes place with 0 being the first index.
Each list’s element has its definite place in the list. Furthermore, this allows duplicating of elements that are present in the list. As such, each element in the list has its own distinct credibility and place.
Browse more Topics under Lists
- Creating Lists
- Initializing and Accessing the Elements
- Traversing Lists
- Appending Lists
- Updating and Deleting Elements
- Lists as Arguments
- List Functions and Methods
Mutable Lists Functions
Below are the various functions of the mutable lists along with their descriptions:
Append() – Adding an element to the list’s end
Extend() – Adding all list’s elements to the another list
Insert() – Inserting an item at the defined index
Remove() – Removes a list’s item
Pop() – Removing an element as well as returning it at the given index
Clear() – Removing all the list’s items
Index() – Returning the first matched item’s index
Count() – Returning the count of the number of items that are passed as an argument
Sort() – Sorting the list’s items in ascending order
Reverse() – Reversing the order of items in the Python list
copy() – Returning a list’s copy
reduce() – Application of a particular function passed in its argument to all of the list’s elements. Furthermore, it facilitates the storing of the intermediate result. Moreover, it also facilitates the return of the final summation value.
sum() – Sums up the list’s numbers.
ord() – Returning an integer representing the particular Unicode character’s code point.
cmp() – This function returns 1, in case the first list is “greater” than the second list
max() – Returning the maximum element of a particular list
min() – Returning the minimum element of a particular list
all() – Returning true in case all elements are true or if the list is empty
any() – Returning true in case any element of the list is true. Furthermore, in case the list is empty, then returning is false.
len() – Returning the list’s length or size.
enumerate() – Returning of a list’s enumerate object.
accumulate() – Application of a particular function whose passing takes place in its argument to all of the list elements returning a list that involves the intermediate results.
filter() – Testing if each list’s element is true or not
map() – Returning a list of the results after applying the particular function to each item of a particular iterable.
lambda() – This function can only have one expression, whose evaluation and returning takes place. Moreover, this function can have any number of arguments.
FAQs For Concept of Mutable Lists
Question 1: What is meant by list mutability in Python?
Answer 1: List mutability in Python means that one can change an item present in a list by accessing it directly as part of the assignment statement. Furthermore, one can update one of the list items by using the indexing operator on the left side of an assignment.
Question 2: Differentiate between mutable and immutable in python?
Answer 2: To summarise the difference, mutable objects are the ones whose state or contents can change. In contrast, immutable objects are the ones that cannot change their state or contents.