9. Numbers (int, float, complex)
Numeric data types: arbitrary precision integers, floating-point precision, complex numbers, arithmetic operators, and math module. Python offers clean syntax and powerful built-in abstractions that streamline software development across web, machine learning, and automation workflows.
# Numbers: int, float, complex
a = 25
b = 4
print("Addition (+):", a + b)
print("Floor Division (//):", a // b)
print("Modulus (%):", a % b)
print("Power (**):", a ** 2)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:
import math
radius = 6.0
area = math.pi * (radius ** 2)
print(f"Circle Area (r={radius}): {area:.2f}")Q: What is the main objective of 9. Numbers (int, float, complex)?
Numeric data types: arbitrary precision integers, floating-point precision, complex numbers, arithmetic operators, and math module.
Q: How do I test this code without installing Python?
Click the green '▶ Run in Compiler' button on any code block to execute directly in Our Compiler's cloud sandbox.