Python Data Automation · Chapter 2 of 10

Functions and Modules

Split scripts into reusable functions and modules with explicit inputs, outputs, and import-safe entry points.

Why this chapter matters

Well-scoped functions reduce bugs, and module boundaries make code easier to test, maintain, and reuse.

What you will learn

  • Define functions with parameters and return values.
  • Organize related logic into importable modules.
  • Use __name__ == '__main__' to separate script execution from reusable code.

Lessons in this chapter

  1. Function signatures and returnsDesign small functions that perform one clear task.
  2. Scope and stateAvoid hidden dependencies by passing data explicitly.
  3. Module importsImport reusable functions without side effects.
  4. Guide: functions and modulesRefactor one long script into reusable files. Read the full guide →

Study task

Refactor a single-file report script into three functions and one helper module, then run it through one main entry function.

Chapter checkpoint

What does if __name__ == '__main__' protect against?

It prevents script-only code from running when the file is imported as a module in another file or test.