Python has several built-in data types, categorized into different groups based on their usage. Here’s a breakdown:

1. Numeric Types

• int → Integer values (e.g., 10, -5, 1000)
• float → Floating-point numbers (e.g., 10.5, -3.14)
• complex → Complex numbers (e.g., 3 + 4j, -2 - 7j)

2. Sequence Types

• str → String (e.g., "Hello", 'Python')
• list → Ordered, mutable collection (e.g., [1, 2, 3])
• tuple → Ordered, immutable collection (e.g., (1, 2, 3))
• range → Sequence of numbers (e.g., range(5) → [0,1,2,3,4])

3. Set Types

• set → Unordered, unique collection (e.g., {1, 2, 3})
• frozenset → Immutable set (e.g., frozenset({1, 2, 3}))

4. Mapping Type

• dict → Key-value pairs (e.g., {"name": "Alice", "age": 25})

5. Boolean Type

• bool → Boolean values (True, False)

6. Binary Types (Used for handling binary data)

• bytes → Immutable sequence of bytes
• bytearray → Mutable sequence of bytes
• memoryview → Memory view object

7. None Type

• NoneType → Represents the absence of a value (None)