7. Python Variables
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.
# 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)}")
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.
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}")
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 'โถ Run in Compiler' button on any code block to execute directly in Our Compiler's cloud sandbox.