Python Data Automation · Chapter 3 of 10

Data Structures

Model records with lists, dictionaries, tuples, and sets so code is readable and operations are efficient.

Why this chapter matters

Choosing the right structure directly affects correctness, lookup speed, and how easy transformations are to reason about.

What you will learn

  • Use lists for ordered sequences and iteration.
  • Use dictionaries for key-based lookup and mapping.
  • Use sets for uniqueness checks and membership testing.

Lessons in this chapter

  1. Lists and tuplesPick mutable versus immutable sequence types correctly.
  2. DictionariesRepresent row-like records and keyed indexes.
  3. SetsDetect duplicates and run fast membership checks.
  4. Guide: data structuresBuild a clean record model for analysis tasks. Read the full guide →

Study task

Given two CSV extracts, build a deduplicated list of order IDs and a dictionary keyed by order ID for fast retrieval.

Chapter checkpoint

Which structure is best for repeated membership checks on unique IDs?

A set, because it stores unique values and provides fast membership testing.