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Practice

Expressions and Arithmetic

In data analysis, we often need to calculate values — totals, differences, averages, and more.
Python lets us do this using expressions, which are pieces of code that produce results.


What Is an Expression?​

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

Some examples:

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

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


Arithmetic in Data Analysis​

Analysts rely on arithmetic for:

  • Summing values (e.g. total sales)
  • Calculating growth rates or discounts
  • Finding averages and differences

Understanding how to build expressions lets you process and analyze real-world data.


What You'll Practice​

In the code block below, you’ll try:

  • Adding and multiplying numbers
  • Working with variables
  • Using expressions to calculate useful results

Try running the examples and modifying the values to see what changes.


What’s Next?​

Next, we’ll look at string operations — how to work with text in Python. This is useful when analyzing names, categories, or comments in a dataset.

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