Summary  
This chapter introduces creation and manipulation of list data structures, covering indexing, length retrieval, sorting, and element transformation via lambda functions.  

General domain of usage  
Managing collections of data elements.

In this chapter, we will learn about lists — one of the most useful data structures in Python.

A list is a collection of items. For example, you can store a list of colours or numbers.

Lists are defined using square brackets. You can also sort them using the `sorted()` function, or apply a lambda to transform elements — `lambda x: x * 2` — which is an anonymous function. We'll cover lambdas properly in the next section.

  fruits = ['apple', 'banana', 'cherry']
  print(fruits[0])
  print('The list has', len(fruits), 'items')

Decorators are a powerful way to modify function behaviour at definition time.

In this course, you will learn the basics of Python programming. We cover variables, lists, loops, and functions. By the end, you will be able to write simple scripts and solve basic problems with code. This course is designed for absolute beginners with no prior experience in programming or computer science whatsoever.

In this section, we will cover the very basics of Python: variables, data types, and how to print things to the screen.

Explore the essentials of working with collections and repeating logic in Python. You will learn about lists, for loops, and basic function definitions.


Working With Lists