Table of contents
Data Types
Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data.
Everything is an object in Python programming, data types are actually classes and variables are instance (object) of these classes.
Python has the following data types built-in by default: Numeric(Integer, complex, float), Sequential(string,lists, tuples), Boolean, Set, Dictionaries, etc.
To check the datatypes: type(variable_name).
Data Structures
It is a way of organizing data so that it can be accessed more efficiently depending upon the condition. Data Structures are fundamentals of any programming language around which a program is built. Python helps to learn the fundamental of these data structures in a simpler way as compared to other programming languages.
Python Lists are just like the arrays, declared in other languages which is an ordered collection of data. It is very flexible as the items in a list do not need to be of the same type
Python Tuple is a collection of Python objects much like a list but Tuples are immutable in nature i.e. the elements in the tuple cannot be added or removed once created. Just like a List, a Tuple can also contain elements of various types.
Python dictionary is like hash tables in any other language with the time complexity of O(1). It is an unordered collection of data values, used to store data values like a map, which, unlike other Data Types that hold only a single value as an element.
Dictionary holds the key:value pair. Key-value is provided in the dictionary to make it more optimized.
Difference between List, Tuple and set.
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.
# Creating a List
List
=
[]
print("Blank List: ")
print(List)
# Creating a List of numbers
List
=
[10, 20, 14]
print("\nList of numbers: ")
print(List)
# Creating a List of strings and accessing
# using index
List
=
["Train", "With", "Subham"]
print("\nList Items: ")
print(List[0])
print(List[2])
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.
# Creating an empty Tuple
Tuple1 =
()
print("Initial empty Tuple: ")
print
(Tuple1)
# Creating a Tuple with
# the use of list
list1 =
[1, 2, 4, 5, 6]
print("\nTuple using List: ")
print(tuple(list1))
#Creating a Tuple
#with the use of built-in function
Tuple1 =
tuple('Goutam')
print("\nTuple with the use of function: ")
print(Tuple1)
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.
# Python3 program to demonstrate
# Set in Python
# Creating a Set
set1 =
set()
print("Initial blank Set: ")
print(set1)
# Creating a Set with
# the use of Constructor
# (Using object to Store String)
String =
'Trainwithsubham'
set1 =
set(String)
print("\nSet with the use of an Object: "
)
print(set1)
# Creating a Set with
# the use of a List
set1 =
set(["Train", "With", "Subham"])
print("\nSet with the use of List: ")
print(set1)
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 | Items in tuple cannot be changed or replaced |