Python Data Types

Python data types tell us what kind of value a variable can store. Python figures this out automatically when you assign a value. Different types are used to store different kinds of data like numbers, text, or lists.

Example 1: Integer

x = 10
print(type(x))

Output:

<class 'int'>

An integer represents whole numbers like 1, 2, 100. Used for counting or indexing.

Example 2: Float

y = 3.14
print(type(y))

Output:

<class 'float'>

Float is a number with a decimal point. Used for precision values like 3.14 or 0.5.

Example 3: String

name = 'Python'
print(type(name))

Output:

<class 'str'>

String is used to store text inside quotes. Can be single or double quotes.

Example 4: Boolean

flag = True
print(type(flag))

Output:

<class 'bool'>

Boolean stores True or False values. Used for conditions and logic.

Example 5: List

fruits = ['apple', 'banana', 'mango']
print(type(fruits))

Output:

<class 'list'>

A list is an ordered, changeable collection of items. Allows duplicates and different data types.

Example 6: Tuple

colors = ('red', 'green', 'blue')
print(type(colors))

Output:

<class 'tuple'>

A tuple is like a list but immutable (cannot be changed).

Example 7: Dictionary

student = {'name': 'Aman', 'age': 20}
print(type(student))

Output:

<class 'dict'>

A dictionary stores data in key-value pairs. Keys are unique and used to access values.

Example 8: Set

unique_nums = {1, 2, 3}
print(type(unique_nums))

Output:

<class 'set'>

Set is an unordered collection that only stores unique values. No duplicates allowed.