Learn Python – Python Literals- Basic and advance

Python Literals can be defined as facts that is given in a variable or constant.

Python supports the following literals:

  1. String literals:

String literals can be shaped by means of enclosing a textual content in the quotes. We can use both single as properly as double quotes to create a string.

Example:

"Aman" , '12345'  

Types of Strings:

There are two sorts of Strings supported in Python:

a) Single-line String- Strings that are terminated inside a single-line are recognised as Single line Strings.

Example:

text1='hello'  

b) Multi-line String – A piece of text that is written in a couple of strains is acknowledged as more than one strains string.

There are two ways to create multiline strings:

  1. Adding black slash at the end of each line.

Example:

text1='hello\    
user'    
print(text1)  
'hellouser'  

2) Using triple quotation marks:-

Example:

str2='''''welcome  
to  
SSSIT'''    
print str2   

Output:

welcome  
to  
SSSIT  

II. Numeric literals:

Numeric Literals are immutable. Numeric literals can belong to following 4 exceptional numerical types.

Int(signed integers)Long(long integers)float(floating point)Complex(complex)
Numbers( can be both positive and negative) with no fractional part.eg: 100Integers of unlimited size followed by lowercase or uppercase L eg: 87032845LReal numbers with both integer and fractional part eg: -26.2In the form of a+bj where a forms the real part and b forms the imaginary part of the complex number. eg: 3.14j

Example – Numeric Literals

x = 0b10100 #Binary Literals  
y = 100 #Decimal Literal   
z = 0o215 #Octal Literal  
u = 0x12d #Hexadecimal Literal  
  
#Float Literal  
float_1 = 100.5   
float_2 = 1.5e2  
  
#Complex Literal   
a = 5+3.14j  
  
print(x, y, z, u)  
print(float_1, float_2)  
print(a, a.imag, a.real)  

Output:

20 100 141 301
100.5 150.0
(5+3.14j) 3.14 5.0

III. Boolean literals:

A Boolean literal can have any of the two values: True or False.

Example – Boolean Literals

x = (1 == True)  
y = (2 == False)  
z = (3 == True)  
a = True + 10  
b = False + 10  
  
print("x is", x)  
print("y is", y)  
print("z is", z)  
print("a:", a)  
print("b:", b)  

Output:

x is True
y is False
z is False
a: 11
b: 10

IV. Special literals.

Python contains one special literal i.e., None.

None is used to specify to that field that is now not created. It is also used for the give up of lists in Python.

Example – Special Literals

val1=10    
val2=None    
print(val1)     
print(val2)  

Output:

10
None

V. Literal Collections.

Python offers the four kinds of literal collection such as List literals, Tuple literals, Dict literals, and Set literals.

List:

List contains items of different data types. Lists are mutable i.e., modifiable.

The values stored in List are separated by comma(,) and enclosed within square brackets([]). We can store different types of data in a List.

Example – List literals

list=['John',678,20.4,'Peter']    
list1=[456,'Andrew']    
print(list)    
print(list + list1)  

Output:

['John', 678, 20.4, 'Peter']
['John', 678, 20.4, 'Peter', 456, 'Andrew']

Dictionary:

Python dictionary stores the data in the key-value pair.

It is enclosed by curly-braces {} and each pair is separated by the commas(,).

Example

dict = {'name': 'Pater', 'Age':18,'Roll_nu':101}  
print(dict)  

Output:

{'name': 'Pater', 'Age': 18, 'Roll_nu': 101}

Tuple:

Python tuple is a collection of different data-type. It is immutable which means it cannot be modified after creation.

It is enclosed by the parentheses () and each element is separated by the comma(,).

Example

tup = (10,20,"Dev",[2,3,4])  
print(tup)  

Output:

(10, 20, 'Dev', [2, 3, 4])

Set:

Python set is the collection of the unordered dataset.

It is enclosed by the {} and each element is separated by the comma(,).

Example: – Set Literals

set = {'apple','grapes','guava','papaya'}  
print(set)  

Output:

{'guava', 'apple', 'papaya', 'grapes'}