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Practice

Expressions and Arithmetic

In data analysis, you often calculate totals, differences, averages, and other metrics.

Python handles this through expressions — pieces of code that evaluate to a result.


What Is an Expression?​

An expression is any combination of values, variables, and operators that Python can evaluate to produce a result.

Some examples:

  • 42 - a literal number
  • 5 + 3 - an addition expression
  • price * quantity - a multiplication using variables

If Python can run the statement and return a value, it’s considered an expression.


Arithmetic in Data Analysis​

Data analysts use arithmetic operations to:

  • Add or combine values (e.g., total sales)
  • Calculate growth rates, margins, or discounts
  • Find averages and measure differences

Learning to build expressions is the foundation for processing and analyzing real-world data.


What You'll Practice​

In the code block on the right, you’ll:

  • Add and multiply numbers
  • Work with variables
  • Build expressions to calculate meaningful results

Run the examples and experiment by changing the values to observe how the output changes.

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