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Data Structures · Chapter 10

Lists

Store an ordered, changeable collection of values.

Why this matters

Lists are a natural choice when order matters and you may add, remove, or update items.

Start with the idea

A list holds values in order. Positions are zero-based indexes, and common operations include append, remove, slicing, and iteration.

IdeaUnderstand the purpose
CodeRun the smallest example
PracticeChange it yourself
SubjectVision learning pattern: understand the idea before memorizing syntax.

Small working example

Run this example first. Do not change several things at once; confirm the basic behavior, then experiment.

Python
tasks = ["email", "deploy"]
tasks.append("review")
print(tasks[0])
print(tasks)
Expected output
email
['email', 'deploy', 'review']
What to notice

The example is intentionally small. Focus on the chapter’s main idea before adding extra syntax or framework code.

Common beginner mistake

Mistake

Using an index without checking whether the list has that position.

Better approach

Prefer iteration when you need every item, and validate indexes when positions come from external input.

Quick recap

  • Lists preserve order.
  • Lists are mutable.
  • Indexes start at zero.

Try it yourself

These are deliberately small. If you can complete them without copying the example, you are ready to continue.

  1. Add and remove an item.
  2. Print the first and last items safely.