What are the 4 data types in Python?

Data Type? 

Data types are the bracket or categorization of data particulars. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, data types are actually classes and variables are case( object) of these classes. 

 

 Following are the standard or erected- in data type of Python 

• Numeric 
•  Sequence Type 
•  Boolean 
•  Set 
• Dictionary 

Numeric

In Python, numeric data type represent the data which has numeric value. Numeric value can be integer, floating number or even complex numbers. These values are defined as int, float and complex class in Python.

Integers – This fee is represented with the aid of using int class. It includes nice or poor complete numbers (with out fraction or decimal). In Python there may be no restrict to how lengthy an integer fee can be.

Float – This fee is represented with the aid of using flow class. It is a actual quantity with floating factor representation. It is targeted with the aid of using a decimal factor. Optionally, the person e or E observed with the aid of using a nice or poor integer can be appended to specify clinical notation.

Complex Numbers – Complex quantity is represented with the aid of using complicated class. It is targeted as (actual part) + (imaginary part)j. For example – 2+3j

# Examples all these like, int , float, complex.

a = 15

print("Type of a: ", type(a))

b = 6.0

print("\nType of b: ", type(b))

c = 4 + 8j

print("\nType of c: ", type(c))

Output

Type of a:  <class 'int'>

Type of b:  <class 'float'>

Type of c:  <class 'complex'>

String

In Python, Strings are arrays of bytes representing Unicode characters. A string is a group of 1 or greater characters installed a unmarried quote, double-quote or triple quote. In python there's no person information type, a person is a string of period one. It is represented via way of means of str class.

Example Show:

Creating String

Strings in Python can be created using single quotes or double quotes or even triple quotes.

# Python Program for

# Creation of String

# Creating a String

# with single Quotes

String1 = 'Welcome to the Geeks World'

print("String with the use of Single Quotes: ")

print(String1)

# Creating a String

# with double Quotes

String1 = "I'm a Geek"

print("\nString with the use of Double Quotes: ")

print(String1)

print(type(String1))

# Creating a String

# with triple Quotes

String1 = '''I'm a Geek and I live in a world of "Geeks"'''

print("\nString with the use of Triple Quotes: ")

print(String1)

print(type(String1))

# Creating String with triple

# Quotes allows multiple lines

String1 = '''Geeks

For

Life'''

print("\nCreating a multiline String: ")

print(String1)

List

Lists are similar to the arrays, declared in different languages that may be a ordered assortment of data. it's terribly versatile because the things in an exceedingly list don't got to be of constant type.

Making List

Lists in Python will be created by simply putting the sequence within the sq. brackets[].

Example :

# Python program to demonstrate

# Creation of List

# Creating a List

List = []

print("Initial blank List: ")

print(List)

# Creating a List with

# the use of a String

List = ['GeeksForGeeks']

print("\nList with the use of String: ")

print(List)

# Creating a List with

# the use of multiple values

List = ["Geeks", "For", "Geeks"]

print("\nList containing multiple values: ")

print(List[0])

print(List[2])

# Creating a Multi-Dimensional List

# (By Nesting a list inside a List)

List = [['Geeks', 'For'], ['Geeks']]

print("\nMulti-Dimensional List: ")

print(List)

Tuple

Just like listing, tuple is likewise an ordered series of Python objects. The handiest distinction among tuple and listing is that tuples are immutable i.e. tuples can not be changed after it's miles created. It is represented through tuple class.

Creating Tuple

In Python, tuples are created through setting a chain of values separated through ‘comma’ without or with the usage of parentheses for grouping of the statistics sequence. Tuples can incorporate any variety of factors and of any datatype (like strings, integers, listing, etc.).

Example :

# Python program to demonstrate

# creation of Set

# Creating an empty tuple

Tuple1 = ()

print("Initial empty Tuple: ")

print (Tuple1)

# Creating a Tuple with

# the use of Strings

Tuple1 = ('Geeks', 'For')

print("\nTuple with the use of String: ")

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('Geeks')

print("\nTuple with the use of function: ")

print(Tuple1)

# Creating a Tuple

# with nested tuples

Tuple1 = (0, 1, 2, 3)

Tuple2 = ('python', 'geek')

Tuple3 = (Tuple1, Tuple2)

print("\nTuple with nested tuples: ")

print(Tuple3)

Boolean

Data kind with one of the  integrated values, True or False. Boolean gadgets which can be identical to True are truthy (real), and people identical to False are falsy (false). But non-Boolean gadgets may be evaluated in Boolean context as properly and decided to be real or false. It is denoted with the aid of using the magnificence bool.

Example:

# Python program to

# demonstrate boolean type

print(type(True))

print(type(False))

print(type(true))

Set

Sets are used to shop more than one gadgets in a unmarried variable.

In Python, Set is an unordered series of facts kind this is iterable, mutable and has no reproduction factors. The order of factors in a hard and fast is undefined aleven though it is able to include diverse factors.

Creating Sets

Sets may be created via way of means of the usage of the integrated set() feature with an iterable item or a chain via way of means of setting the series interior curly braces, separated via way of means of ‘comma’. Type of factors in a hard and fast want now no longer be the same, diverse mixed-up facts kind values also can be surpassed to the set.

Example :

# Python program to demonstrate

# Creation of Set in Python

# Creating a Set

set1 = set()

print("Initial blank Set: ")

print(set1)

# Creating a Set with

# the use of a String

set1 = set("GeeksForGeeks")

print("\nSet with the use of String: ")

print(set1)

# Creating a Set with

# the use of a List

set1 = set(["Geeks", "For", "Geeks"])

print("\nSet with the use of List: ")

print(set1)

# Creating a Set with

# a mixed type of values

# (Having numbers and strings)

set1 = set([1, 2, 'Geeks', 4, 'For', 6, 'Geeks'])

print("\nSet with the use of Mixed Values")

print(set1)

Dictionary

Dictionaries are used to store data values in key: value pairs.

A dictionary is a collection which is ordered*, changeable and do not allow duplicates.

Example:

# Creating an empty Dictionary

Dict = {}

print("Empty Dictionary: ")

print(Dict)

# Creating a Dictionary

# with Integer Keys

Dict = {1: 'Geeks', 2: 'For', 3: 'Geeks'}

print("\nDictionary with the use of Integer Keys: ")

print(Dict)

# Creating a Dictionary

# with Mixed keys

Dict = {'Name': 'Geeks', 1: [1, 2, 3, 4]}

print("\nDictionary with the use of Mixed Keys: ")

print(Dict)

# Creating a Dictionary

# with dict() method

Dict = dict({1: 'Geeks', 2: 'For', 3:'Geeks'})

print("\nDictionary with the use of dict():")

print(Dict)

# Creating a Dictionary

# with each item as a Pair

Dict = dict([(1, 'Geeks'), (2, 'For')])

print("\nDictionary with each item as a pair: ")

print(Dict)

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