1. Numeric Literals:

Python supports various types of numeric literals, including

• Integer Literals: These are whole numbers without a decimal point. For example, 42 and -123 are integer literals.
• Floating-Point Literals: These are numbers with a decimal point or in exponential form. For example, 3.14 or 2.5e-3 are floating-point literals.
• Complex Literals: Complex numbers are written as real + imagj, where real and imag are the real and imaginary parts. For example, 3 + 2j is a complex literal.

2. String Literals:

String literals in Python are sequences of characters enclosed in either single (‘) or double (“) quotes. For example:

name="John" 
message = 'Hello,

 World!’Python also supports triple-quoted strings, which are useful for multi-line strings or docstrings:

description = """Python is a versatile programming language 

that is both powerful and beginner-friendly.”””

3. Boolean Literals:

Boolean literals represent one of two values: True or False. They are often used in conditional statements and comparisons to control the flow of a program. For example:

is_student = True

is_teacher = False

4. None Literal:

The None literal is a special value in Python that represents the absence of a value or a null value. It is often used to initialize variables before they are assigned a meaningful value or to indicate that a function doesn’t return anything.

result = None

5. List and Dictionary Literals:

Lists and dictionaries are two commonly used data structures in Python. You can create them using literals as follows:

fruits = ["apple", "banana", "cherry"]

person = {“name”: “Alice”, “age”: 30}