Python data types

1. Data Types in Python
An Overview of Built-in Data Types

2. Introduction
• Python supports various data types to store
values. These data types can be categorized
into several classes like numbers, sequences,
sets, and mappings.

3. Numeric Types
• 1. int - Integer values (e.g., 10, -3)
• 2. float - Floating-point numbers (e.g., 3.14, -
0.001)
• 3. complex - Complex numbers (e.g., 1 + 2j)

4. Sequence Types
• 1. str - String (e.g., 'hello')
• 2. list - List of items (e.g., [1, 2, 3])
• 3. tuple - Immutable list (e.g., (1, 2, 3))

5. Set Types
• 1. set - Unordered collection of unique items
(e.g., {1, 2, 3})
• 2. frozenset - Immutable version of set

6. Mapping Type
• 1. dict - Key-value pairs (e.g., {'a': 1, 'b': 2})

7. Boolean and None
• 1. bool - Boolean values (True or False)
• 2. NoneType - Represents the absence of a
value (None)

8. Conclusion
• Understanding data types is essential for
effective Python programming. Each type
serves a specific purpose and is used in
various scenarios.