7. Python Variables

๐Ÿ Python 3.12+ ๐ŸŸข Lesson 7 of 28 ๐Ÿ“‚ Phase 1: Python Basics ๐Ÿ“… 2026 Edition
Variables as object references, dynamic typing, reference counting, multiple assignments, and memory address inspection using id(). In this interactive tutorial, you will explore conceptual principles, memory models, best practices, executable code samples, and common pitfalls to avoid.
1 Overview & Core Concepts

Variables as object references, dynamic typing, reference counting, multiple assignments, and memory address inspection using id(). Python offers clean syntax and powerful built-in abstractions that streamline software development across web, machine learning, and automation workflows.

2 Executable Code Example
# Variables in Python (Names referencing objects)
user_name = "Balaji"
user_age = 24
is_developer = True

print(f"User: {user_name}, Age: {user_age}, Developer: {is_developer}")
print(f"Memory Address id(user_name): {id(user_name)}")
โš ๏ธ Key Best Practice & Common Pitfalls

Always write clean, PEP 8 compliant code with descriptive variable names and consistent 4-space indentation. Test your code in the online sandbox above before deploying to production.

๐Ÿ’ป Try It Yourself โ€” Practice Challenge

Modify and test this interactive coding challenge in Our Compiler:

# Swap two variables without using a temporary variable
a, b = 100, 200
print(f"Before: a={a}, b={b}")
a, b = b, a
print(f"After:  a={a}, b={b}")
Run This Code in Our Online Compiler โ†’
โ“ Frequently Asked Questions (FAQ)

Q: What is the main objective of 7. Python Variables?

Variables as object references, dynamic typing, reference counting, multiple assignments, and memory address inspection using id().

Q: How do I test this code without installing Python?

Click the green 'โ–ถ Run in Compiler' button on any code block to execute directly in Our Compiler's cloud sandbox.

OC
Written by Our Compiler Technical Editorial Team
Reviewed for accuracy & tested on Python 3.12+ runtime ยท Last updated August 2026