Python Data Types

Python supports several built-in data types. Some of the commonly used data types in Python include:

1. Numeric Types:
   • int: Integer values (e.g., 5, -3, 0).
   • float: Floating-point values with decimal places (e.g., 3.14, -0.5).
   • complex: Complex numbers in the form a + bj, where a and b are floats and j represents the imaginary unit (e.g., 2 + 3j).
2. Sequence Types:
   • str: Strings of characters (e.g., “Hello”, ‘World’).
   • list: Ordered, mutable sequences of elements (e.g., [1, 2, 3], [‘apple’, ‘banana’, ‘cherry’]).
   • tuple: Ordered, immutable sequences of elements (e.g., (1, 2, 3), (‘red’, ‘green’, ‘blue’)).
3. Mapping Type:
   • dict: Key-value pairs, also known as dictionaries (e.g., {‘name’: ‘John’, ‘age’: 25}).
4. Set Types:
   • set: Unordered collections of unique elements (e.g., {1, 2, 3}).
   • frozenset: Immutable version of a set (e.g., frozenset({1, 2, 3})).
5. Boolean Type:
   • bool: Represents truth values (True or False).
6. None Type:
   • None: Represents the absence of a value or a null value.

These are the fundamental data types in Python. Additionally, Python allows you to create custom data types using classes and objects, which are part of object-oriented programming.