Python Lists

Module 1 covered single values: numbers, strings, booleans. This module introduces your first real data structure: the list, an ordered collection that can hold anything, in any combination. For example, [1, "two", 3.0, True] is a single, valid Python list holding four different types at once.

Why This Matters

Almost every non-trivial program involves a collection of things: usernames, scores, rows of data. Lists are how Python represents that, and the methods and patterns here (especially list comprehension) show up constantly in real code.

What You’ll Learn

• How to create, access, and modify a list
• The built-in methods for adding, removing, and reordering elements
• How slicing lets you grab, copy, or reverse portions of a list
• The difference between a shallow copy and a deep copy
• How to loop over a list efficiently, and write concise loops with list comprehension

Outcome

By the end of this module, you’ll be comfortable building and manipulating lists, and writing list comprehensions instead of longer, more repetitive loops.

Let’s get started.