Python Numbers & Math Operations: From Calculator Logic to Code

Think About Your Daily Math Operations

Every day, you perform mathematical operations without thinking:

• Splitting restaurant bill: ₹450 ÷ 3 people = ₹150 each
• Finding discount: ₹1000 - (20% of ₹1000) = ₹800
• Compound interest: ₹10000 × (1.08)² = ₹11664

These same mathematical operations work in Python too! The computer becomes your super-powered calculator.

Python Mathematical Operators

Python uses operators - special symbols that tell the computer what mathematical operation to perform:

Basic Arithmetic Operators available in Python

Let's See These in Action:

# !Using Print function to output the calculated result
# !we are using integers direcly as opperends
# Basic operations
print(25 + 15)    # Output: 40
print(50 - 20)    # Output: 30  
print(8 * 6)      # Output: 48
print(100 / 4)    # Output: 25.0

# Special operations
print(17 // 5)    # Output: 3 (how many times 5 goes into 17)
print(17 % 5)     # Output: 2 (what's left over)
print(3 ** 4)     # Output: 81 (3 to the power of 4)

Key Rules for Integer and Float Operations

In the above given example, Ever notice something strange about why 100 / 4 produces 25.0 (a float) rather than 25 (an integer), despite the fact that it divides perfectly with no fractional part?. Python's numerical operations follow some counterintuitive rules that might seem confusing at first, but understanding these patterns will make you a more effective programmer.

Key Operation Rules:

• Integer operations stay integers (except division)

• Float operations give floats 

• Mixed operations (int , float) always result in floats