Python Operators — The Complete Guide

Operators are the verbs of any programming language. They tell Python what to do with your data — add it, compare it, combine it, or shift it bit by bit. A solid grasp of operators is foundational to writing expressive, bug-free code.

Python Operators — The Complete Guide

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Key Takeaways

• Python groups operators into five major categories: arithmetic, assignment, comparison, logical, and bitwise
• Comparison operators always return True or False — they are the backbone of conditional logic
• Logical operators (and, or, not) let you combine multiple conditions into a single expression
• Bitwise operators work directly on the binary representation of integers
• Operator precedence determines evaluation order when multiple operators appear in one expression

Arithmetic Operators

Arithmetic operators perform standard math on numeric values.

a, b = 17, 5

print(a + b)   # 22
print(a - b)   # 12
print(a * b)   # 85
print(a / b)   # 3.4  — always returns a float
print(a % b)   # 2    — remainder after division
print(a ** b)  # 1419857 — 17 raised to the power 5
print(a // b)  # 3    — quotient rounded down to nearest int

🖼️ Visual Suggestion: A diagram showing the difference between / (true division) and // (floor division) on a number line.

Assignment Operators

Assignment operators store — and optionally transform — a value in a variable. Every compound assignment is shorthand for a longer expression.

score = 100
score += 15   # player earned bonus points
score -= 20   # penalty applied
print(score)  # 95

Comparison Operators

Comparison operators evaluate a relationship between two values and return a boolean — True or False.

age = 20
print(age >= 18)   # True — old enough to vote
print(age == 21)   # False
print(age != 20)   # False — age is exactly 20

Logical Operators

Logical operators combine boolean expressions. They are essential for building complex conditions.

Truth Tables

temperature = 32
is_weekend = True

# Both conditions must be true for a beach day
if temperature > 30 and is_weekend:
    print("Perfect beach day!")

# At least one condition triggers an alert
has_fever = True
has_cough = False
if has_fever or has_cough:
    print("Consider resting today.")

Bitwise Operators

Bitwise operators manipulate integers at the binary level. They are niche but powerful — commonly used in permissions, flags, and low-level algorithms.

# 4 in binary: 100
# 5 in binary: 101
print(4 & 5)   # 4  — binary 100 (only the leftmost bit is shared)
print(4 | 5)   # 5  — binary 101
print(4 ^ 5)   # 1  — binary 001 (only the rightmost bit differs)
print(~4)      # -5 — inverts all bits (two's complement)
print(4 << 1)  # 8  — 100 becomes 1000
print(4 >> 1)  # 2  — 100 becomes 10

🖼️ Visual Suggestion: A step-by-step binary grid showing how 4 & 5 evaluates to 4 bit by bit.

Operator Precedence

When multiple operators appear in a single expression, Python follows a strict precedence hierarchy. Higher rows are evaluated first.

# Without parentheses, ** binds tighter than -
result = -2 ** 4    # -(2**4) = -16, NOT (-2)**4
print(result)       # -16

# Use parentheses to make intent explicit
result = (-2) ** 4  # 16
print(result)       # 16

When in doubt, add parentheses. They cost nothing at runtime and make your intent unmistakable to anyone reading your code.

Up next: we'll use these operators inside conditional statements — where Python starts making decisions on its own.