Python Literals: Understanding Fixed Values in Code

In Python, literals are used to represent fixed values in your code.

Types of Literals:

Integers

• A number with no fractions.

• Octal Number – An integer with 0 in front of it. Each octal digit represents three binary bits with a base of 8.

• Hexadecimal Number – An integer with 0x or 0X in front of it. Each number has a base of 16.

  Floating point number

• A number with nonempty decimal fractions.

• Examples: 45.09, -6.00, 76.99, 1e-44, etc.

  Strings

• Text that is within “Glory” or ‘Glory’.

• Ways to use quotes in the string:

  “Yuri \" is\" the President”

• “Yuri 'is' the President”

• 'Yuri “is” the President'

  Booleans

• Value is either True or False

• True or 1

• False or 0

Sequence literals:

i. List literals: An ordered collection of values enclosed in square brackets.

For example:

numbers = [1, 2, 3]

fruits = ['apple', 'banana', 'orange']

ii. Tuple literals: An ordered collection of values enclosed in parentheses.

For example:

coordinates = (10, 20)

Mapping literals:

i. Dictionary literals: Unordered collection of key-value pairs enclosed in curly braces.

For example:

person = {'name': 'John', 'age': 25}

ii. Set literals: Unordered collection of unique elements enclosed in curly braces.

For example:

unique_numbers = {1, 2, 3}

None literal

Represents the absence of a value and is denoted by the keyword None. It is often used to indicate a missing or undefined value.

For example

result = None

Example

#Numeric literals

x = 10 y = 3.14 z = 2 + 3j

#String literals

name = 'John' message = "Hello, World!"

#Boolean literals

is_true = True is_false = False

#List literals

numbers = [1, 2, 3] fruits = ['apple', 'banana', 'orange']

#Tuple literals

coordinates = (10, 20)

#Dictionary literals

person = {'name': 'John', 'age': 25}

#Set literals

unique_numbers = {1, 2, 3}

#None literal

empty_value = None