Data types in Python with Examples

Aviva 85 Published: 09/17/2024

Data types in Python with Examples

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In Python, data types are categories into which data can be classified based on the type of value it holds. Here's an overview of the main data types in Python along with examples:

Integers (int): Whole numbers, either positive, negative, or zero.

Example:

a = 10  # integer
print(type(a))  # output: <class 'int'>

Floats (float): Decimal numbers.

b = 3.14  # float
print(type(b))  # output: <class 'float'>

Strings (str): Text data enclosed in quotes or apostrophes.

Example:

c = "Hello"  # string
print(type(c))  # output: <class 'str'>

Boolean (bool): True or False values.

Example:

d = True  # boolean
print(type(d))  # output: <class 'bool'>

List: A collection of items, which are ordered and changeable.

Example:

e = [1, 2, 3]  # list
print(type(e))  # output: <class 'list'>

Tuple: Similar to a list, but once created, its elements cannot be modified.

Example:

f = (1, 2, 3)  # tuple
print(type(f))  # output: <class 'tuple'>

Dictionary (dict): A collection of key-value pairs, which are unordered and can change.

Example:

g = {"name": "John", "age": 30}  # dictionary
print(type(g))  # output: <class 'dict'>

Set: An unordered collection of unique items, which cannot contain duplicate values.

Example:

h = {1, 2, 3}  # set
print(type(h))  # output: <class 'set'>

Complex (complex): Complex numbers in the form a + bj, where a and b are real numbers.

Example:

i = 3 + 4j  # complex
print(type(i))  # output: <class 'complex'>

None: A special value that represents "nothing" or "no value."

Example:

j = None  # none
print(type(j))  # output: <class 'type'>

These are the main built-in data types in Python, each with its own unique characteristics and use cases.

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