Python Lists Explained: Objects, Data Types, and Nested Lists with Examples

A List Can Contain Integer Objects

A list can contain integer objects.

numbers = [10, 20, 30, 40, 50]

print(numbers)

Output:

The list contains five integer objects.

A List Can Contain Float Objects

A list can also contain floating-point numbers.

temperatures = [25.5, 26.2, 27.8, 28.1, 29.4]

print(temperatures)

Output:

A List Can Contain String Objects

A list can contain strings.

names = ["Ram", "John", "Ali", "Ravi", "David"]

print(names)

Output:

Each name is a separate string object in the list.

A List Can Contain Boolean Objects

Lists can also contain Boolean objects.

values = [True, False, True, True, False]

print(values)

Output:

The two Boolean values available in Python are:

A List Can Contain Different Types of Objects

One of the useful features of Python lists is that a single list can contain objects of different types.

For example:

data = [
  10,
  3.14,
  "Python",
  True,
  25
]

print(data)

Output:

Here the list contains:

A List Can Even Contain Other Lists

A list can contain another list as one of its objects.

For example:

numbers = [
  [10, 20],
  [30, 40],
  [50, 60]
]

print(numbers)

Output:

Here, the outer list contains three list objects.

For example:

matrix = [
    [1, 2, 3],
    [4, 5, 6],
    [7, 8, 9]
]

print(matrix)

Output:

We will study such nested lists separately.