Lists and List Comprehension

Lists are ordered, mutable, and can contain mixed types. They're one of Python's most versatile data structures.

Various methods to modify list contents with different behaviors.

Methods for finding elements and ordering lists.

Advanced slicing techniques with start, stop, and step parameters.

Powerful and concise list creation with comprehensions, including nested and conditional logic.

Common operations and functions that work with lists.

Understanding list internals for efficient programming.

Common patterns, pitfalls, and best practices when working with lists.

Using type hints for better code documentation and IDE support.