Python has several built-in data types that are essential for programming. Here's a breakdown of the most common ones:

1. Primitive Data Types

  • Integer (int)
    Represents whole numbers.

    Integer_Type
    Example: `x = 10`

  • Float (float)
    Represents decimal numbers.

    Float_Type
    Example: `y = 3.14`

  • String (str)
    Represents text data.

    String_Type
    Example: `s = "Hello, World!"`

  • Boolean (bool)
    Represents True or False values.

    Boolean_Type
    Example: `is_valid = True`

2. Composite Data Types

  • List (list)
    Ordered, mutable collection.

    List_Type
    Example: `fruits = ["apple", "banana", "cherry"]`

  • Tuple (tuple)
    Ordered, immutable collection.

    Tuple_Type
    Example: `coordinates = (10, 20)`

  • Dictionary (dict)
    Unordered key-value pairs.

    Dictionary_Type
    Example: `person = {"name": "Alice", "age": 30}`

  • Set (set)
    Unordered, unique elements.

    Set_Type
    Example: `unique_ids = {1, 2, 3}`

3. Special Data Types

  • NoneType
    Represents the absence of a value.

    None_Type
    Example: `result = None`

  • Bytes (bytes)
    Represents binary data.

    Bytes_Type
    Example: `data = b'Hello'`

  • Range (range)
    Generates a sequence of numbers.

    Range_Type
    Example: `numbers = range(5)`

For more details on advanced data structures or type conversions, check our Python Data Structures Guide. 📚