Tutorials Logic, IN info@tutorialslogic.com
Navigation
Home About Us Contact Us Blogs FAQs
Tutorials
All Tutorials
Services
Academic Projects Resume Writing Website Development
Practice
Quiz Challenge Interview Questions Certification Practice
Tools
Online Compiler JSON Formatter Regex Tester CSS Unit Converter Color Picker
Compiler Tools

Python Variables Data Types: Tutorial, Examples, FAQs & Interview Tips

Comments

Comments are lines that Python ignores during execution. They are used to explain code, make it more readable, or temporarily disable code.

Single-Line Comments

Use the # symbol. Everything after # on that line is a comment.

Single-Line Comments
# This is a single-line comment
print("Hello")  # inline comment

# Comments are ignored by Python
# print("This line won't run")
Multi-Line Comments

Python doesn't have a dedicated multi-line comment syntax. Use multiple # lines, or use triple-quoted strings (which are technically string literals, not comments).

Multi-Line Comments
# Method 1: Multiple # lines
# This is line 1
# This is line 2
# This is line 3

# Method 2: Triple-quoted string (docstring style)
"""
This is a multi-line string.
Often used as a docstring at the top of
functions, classes, or modules.
"""

def greet(name):
    """
    This function greets a person.
    Args:
        name (str): The person's name
    Returns:
        str: A greeting message
    """
    return f"Hello, {name}!"

Variables

A variable is a named tl-container that stores a value in memory. In Python, you don't need to declare a variable's type - it's inferred automatically.

Creating Variables
name = "Alice"        # str
age = 25              # int
height = 5.7          # float
is_student = True     # bool

print(name)           # Alice
print(type(name))     # 
print(type(age))      # 

# Multiple assignment
x = y = z = 0         # all three equal 0

# Tuple unpacking
a, b, c = 1, 2, 3
print(a, b, c)        # 1 2 3

# Swap variables (Python style)
a, b = b, a
print(a, b)           # 2 1

Variable Naming Rules

  • Must start with a letter or underscore (_)
  • Can contain letters, digits, and underscores
  • Cannot start with a digit
  • Cannot use Python keywords (if, for, class, etc.)
  • Case-sensitive: name and Name are different variables
Valid vs Invalid Names
# Valid variable names
my_name = "Alice"
_private = 42
camelCase = "ok but not Pythonic"
snake_case = "preferred in Python"
value2 = 100

# Invalid variable names (will cause SyntaxError)
# 2value = 10       # starts with digit
# my-name = "Bob"   # hyphen not allowed
# class = "Python"  # reserved keyword

# Python naming conventions (PEP 8)
user_name = "alice"          # variables: snake_case
MAX_SIZE = 100               # constants: UPPER_CASE
class MyClass:               # classes: PascalCase
    pass

Dynamic Typing

Python is dynamically typed - a variable can hold different types at different times. Use type() to check the current type.

Dynamic Typing
x = 10
print(type(x))   # 

x = "hello"
print(type(x))   # 

x = 3.14
print(type(x))   # 

x = [1, 2, 3]
print(type(x))   # 

# Type hints (Python 3.5+) - optional but recommended
def add(a: int, b: int) -> int:
    return a + b

Ready to Level Up Your Skills?

Explore 500+ free tutorials across 20+ languages and frameworks.