dynamic-sizedList: Lists are just like dynamic-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. The main characteristics of lists are –
- The list is a datatype available in Python which can be written as a list of comma-separated values (items) between square brackets.
- List are mutable .i.e it can be converted into another data type and can store any data element in it.
- List can store any type of element.
Example:
Python3
# Python3 program to demonstrate # List # Creating a ListList = []print("Blank List: ")print(List) # Creating a List of numbersList = [10, 20, 14]print("\nList of numbers: ")print(List) # Creating a List of strings and accessing# using indexList = ["Geeks", "For", "Geeks"]print("\nList Items: ")print(List[0]) print(List[2]) |
Output:
Blank List:
[]
List of numbers:
[10, 20, 14]
List Items:
Geeks
Geeks
Tuple: Tuple is a collection of Python objects much like a list. The sequence of values stored in a tuple can be of any type, and they are indexed by integers. Values of a tuple are syntactically separated by ‘commas’. Although it is not necessary, it is more common to define a tuple by closing the sequence of values in parentheses. The main characteristics of tuples are –
- Tuple is an immutable sequence in python.
- It cannot be changed or replaced since it is immutable.
- It is defined under parenthesis().
- Tuples can store any type of element.
Example:
Python3
# Creating an empty TupleTuple1 = ()print("Initial empty Tuple: ")print (Tuple1) # Creating a Tuple with# the use of listlist1 = [1, 2, 4, 5, 6]print("\nTuple using List: ")print(tuple(list1)) #Creating a Tuple #with the use of built-in functionTuple1 = tuple('Geeks')print("\nTuple with the use of function: ")print(Tuple1) |
Output:
Initial empty Tuple:
()
Tuple using List:
(1, 2, 4, 5, 6)
Tuple with the use of function:
('G', 'e', 'e', 'k', 's')
Set: In Python, Set is an unordered collection of data type that is iterable, mutable, and has no duplicate elements. The major advantage of using a set, as opposed to a list, is that it has a highly optimized method for checking whether a specific element is contained in the set. The main characteristics of set are –
- Sets are an unordered collection of elements or unintended collection of items In python.
- Here the order in which the elements are added into the set is not fixed, it can change frequently.
- It is defined under curly braces{}
- Sets are mutable, however, only immutable objects can be stored in it.
Example:
Python3
# Python3 program to demonstrate # Set in Python # Creating a Setset1 = set()print("Initial blank Set: ")print(set1) # Creating a Set with# the use of Constructor# (Using object to Store String)String = 'GeeksForGeeks'set1 = set(String)print("\nSet with the use of an Object: " )print(set1) # Creating a Set with# the use of a Listset1 = set(["Geeks", "For", "Geeks"])print("\nSet with the use of List: ")print(set1) |
Output:
Initial blank Set:
set()
Set with the use of an Object:
{'G', 's', 'e', 'o', 'r', 'F', 'k'}
Set with the use of List:
{'Geeks', 'For'}
Table of Difference between List, Set, and Tuple
| List | Set | Tuple |
|---|---|---|
| Lists is Mutable | Set is Mutable | Tuple is Immutable |
| It is Ordered collection of items | It is Unordered collection of items | It is Ordered collection of items |
| Items in list can be replaced or changed | Items in set cannot be changed or replaced but you can remove and add new items. | Items in tuple cannot be changed or replaced |
