Operators and Expressions

Operators allow you to perform calculations, compare values, and combine conditions. They are frequently used to calculate metrics and filter records during data analysis.

Arithmetic Operators

revenue = 50000

expenses = 32000

profit = revenue - expenses

total = revenue + expenses

average = revenue / 5

remainder = revenue % 3

print("Profit:", profit)

print("Total:", total)

print("Average:", average)

print("Remainder:", remainder)

Common arithmetic operators include +, -, *, /, //, %, and **.

Comparison Operators

Comparison operators return Boolean values (True or False).

sales = 75000

target = 60000

print(sales > target)    # True

print(sales == target)   # False

print(sales != target)   # True

These comparisons are useful for checking whether sales targets were achieved or identifying values that meet specific criteria.

Logical Operators

The and, or, and not operators combine or reverse conditions.

sales = 75000

customer_rating = 4.6

qualified = sales > 50000 and customer_rating >= 4.0

print(qualified)  # True

This example identifies a result that satisfies both conditions. In a data analysis workflow, similar logic can help define qualifying customers, profitable products, or high-performing regions.