SigmaAnalytics & Tech
A12PythonBeginnerAbout 110 min to complete

Conditional Statements

Decision logic that stays readable when the business rules get complicated — and the vectorised equivalents pandas needs.

Notebook

About 110 minutes to complete

Enrol to read the notebook and download it to run.

What this module covers

Decision logic that stays readable when the business rules get complicated — and the vectorised equivalents pandas needs.

By the end of it

  • Write if, elif, and else blocks with correct indentation and ordering
  • Apply truthiness deliberately, avoiding the == True anti-pattern
  • Explain why elif order is the specification when conditions overlap
  • Refactor deeply nested conditionals into flat guard clauses
  • Use conditional expressions (ternaries) where they improve clarity
  • Replace long elif chains with dictionary dispatch
  • Use match/case structural pattern matching for shape-based branching
  • Translate conditional logic into vectorised pandas: np.where, np.select, pd.cut