Describe Datatype in Python

In Python, a data type refers to the classification or category of data that a variable or value can hold. It determines the kind of operations that can be performed on the data and how the data is stored in memory.

Python provides several built-in data types, including:

Numeric Types:

int: Integer values, e.g., 10, -5, 0.
float: Floating-point values, e.g., 3.14, -2.5, 0.0.
complex: Complex numbers in the form a + bj, where a and b are floats or integers, and j represents the imaginary unit.
Text Type:
str: Strings of characters enclosed in single quotes ('') or double quotes (""). For example, "Hello, World!".
Sequence Types:
list: Ordered, mutable collections of elements. They can store different data types and are denoted by square brackets ([]). For example, [1, 2, 3].
tuple: Ordered, immutable collections of elements. They are denoted by parentheses (()). For example, (4, 5, 6).
Mapping Type:
dict: Unordered, mutable collections of key-value pairs. Keys are unique, and they are used to access corresponding values. Dictionaries are denoted by curly braces ({}). For example, {"name": "John", "age": 30}.
Set Types:
set: Unordered collections of unique elements. They do not allow duplicate values. Sets are denoted by curly braces ({}). For example, {1, 2, 3}.
Boolean Type:
bool: Represents a boolean value, which can be either True or False.
None Type:
None: Represents the absence of a value. It is commonly used to indicate the absence of a meaningful result.
Python also allows defining custom data types using classes, which is known as object-oriented programming.

You can determine the data type of a value or variable using the built-in type() function.
x = 5
print(type(x)) # Output: class 'int'

y = "Hello, World!"
print(type(y)) # Output: class 'str'