In this tutorial, we will learn about Python variables, constants, literals with the help of examples.
In programming, a variable is a container (storage area) to hold data. For example,
number =0
Here, number is a variable storing the value 10.
Assigning values to Variables in Python
As we can see from the above example, we use the assignment operator =
to assign a value to a variable.
# assign value to site_name variable
site_name = 'apple.com'
print(site_name)
Output
apple.com
In the above example, we assigned the value apple.com
to the site_name variable. Then, we printed out the value assigned to site_name
Changing the Value of Python Variables
site_name = 'wherewhathow.net'
print(site_name)
# assigning a new value to site_name
site_name = 'apple.com'
print(site_name)
Output
wherewhathow.net
apple.com
Here, the value of site_name is changed from 'wherewhathow.net'
to 'apple.com'
.
Example: Assigning multiple values to multiple variables
a, b, c = 5, 3.2, 'Hello'
print(a) # prints 5
print(b) # prints 3.2
print(c) # prints Hello
If we want to assign the same value to multiple variables at once, we can do this as:
site1 = site2 = 'wherewhathow.net'
print(site1) # prints wherewhathow.net
print(site2) # prints wherewhathow.net
Here, we have assigned the same string value 'wherewhathow.net'
to both the variables site1 and site2.
Rules for Naming Python Variables
- Constant and variable names should have a combination of letters in lowercase (a to z) or uppercase (A to Z) or digits (0 to 9) or an underscore
(_)
. For example:
snake_case
MACRO_CASE
camelCase
CapWords
- Create a name that makes sense. For example, vowel makes more sense than v.
- If you want to create a variable name having two words, use underscore to separate them. For example:
my_name
current_salary
- Python is case-sensitive. So num and Num are different variables. For example,
var num = 5
var Num = 55
print(num) # 5
print(Num) # 55
- Avoid using keywords like if, True, class, etc. as variable names.
Python Variables – Constants
A constant is a special type of variable whose value cannot be changed.
In Python, constants are usually declared and assigned in a module (a new file containing variables, functions, etc which is imported to the main file).
Let’s see how we declare constants in separate file and use it in the main file,
Create a constant.py:
# declare constants
PI = 3.14
GRAVITY = 9.8
Create a main.py:
# import constant file we created above
import constant
print(constant.PI) # prints 3.14
print(constant. GRAVITY) # prints 9.8
In the above example, we created the constant.py module file. Then, we assigned the constant value to PI and GRAVITY.
After that, we create the main.py file and import the constant
module. Finally, we printed the constant value.
Python Literals
Literals are representations of fixed values in a program. They can be numbers, characters, or strings, etc. For example, 'Hello, World!'
, 12
, 23.0
, 'C'
, etc.
Literals are often used to assign values to variables or constants. For example,
site_name = 'wherewhathow.net'
In the above expression, site_name is a variable, and 'wherewhathow.net'
is a literal.
Python Numeric Literals
Numeric Literals are immutable (unchangeable). Numeric literals can belong to 3 different numerical types: Integer
, Float
, and Complex
.

Python Variables – Boolean Literals
There are two boolean literals: True
and False
.
For example,
pass = true
Here, true
is a boolean literal assigned to pass.
String and Character Literals in Python
Character literals are unicode characters enclosed in a quote. For example,
some_character = 'S'
Here, S
is a character literal assigned to some_character.
Similarly, String literals are sequences of Characters enclosed in quotation marks.
For example,
some_string = 'Python is fun'
Here, ‘Python is fun’ is a string literal assigned to some_string.
Special Literal in Python
Python contains one special literal None
. We use it to specify a null variable. For example,
value = None
print(value)
# Output: None
Here, we get None
as an output as the value variable has no value assigned to it.
Literal Collections
There are four different literal collections List literals, Tuple literals, Dict literals, and Set literals.
# list literal
fruits = ["apple", "mango", "orange"]
print(fruits)
# tuple literal
numbers = (1, 2, 3)
print(numbers)
# dictionary literal
alphabets = {'a':'apple', 'b':'ball', 'c':'cat'}
print(alphabets)
# set literal
vowels = {'a', 'e', 'i' , 'o', 'u'}
print(vowels)
Output
[‘apple’, ‘mango’, ‘orange’]
(1, 2, 3)
{‘a’: ‘apple’, ‘b’: ‘ball’, ‘c’: ‘cat’}
{‘e’, ‘a’, ‘o’, ‘i’, ‘u’}
In the above example, we created a list of fruits, a tuple of numbers, a dictionary of alphabets having values with keys designated to each value and a set of vowels.
To learn more about literal collections, refer to Python Data Types.