What is data types in Python

Nikita 280 Published: 10/12/2024

What is data types in Python

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In Python, a data type refers to the category of data that an object belongs to. These categories determine how the data can be used and what operations can be performed on it. Here's a comprehensive list of built-in data types in Python:

Integers (int): Whole numbers, either positive, negative, or zero, such as 1, -1, 0.

Example: a = 5

Floating Point Numbers (float): Decimal numbers, like 3.14, -0.5, or 42.0.

Example: b = 3.14159

Complex Numbers (complex): Numbers with both real and imaginary parts, such as 3 + 4j or 2 - 5j.

Example: c = 3 + 4j

Boolean Values (bool): True or False values, used for conditional statements and logical operations.

Example: is_admin = True

String Values (str): Sequences of characters, such as names, sentences, or phrases. Strings can be enclosed in single quotes (' ') or double quotes ("").

Example: greeting = "Hello World!"

Byte Strings (bytes): Fixed-size sequences of bytes, often used for storing binary data.

Example: image_data = b'x00x01x02'

List Values: Ordered collections of items, which can be any data type, including strings, integers, or other lists.

Example: fruits = ["apple", "banana", "cherry"]

Tuple Values (tuple): Immutable ordered collections of items, similar to lists but cannot be changed after creation.

Example: colors = ("red", "green", "blue")

Dictionary Values (dict): Unordered collections of key-value pairs, where each key is unique and maps to a specific value.

Example: person = {"name": "John", "age": 30}

Set Values: Unordered collections of unique items, similar to dictionaries but without key-value pairs.

Example: unique_chars = {"a", "b", "c", "d"}

None: A special value indicating the absence of a value or null.

Example: result = None

Custom Data Types: Python supports custom data types, such as classes and objects, which can encapsulate behavior and attributes specific to your application.

Example: class Person: ... person = Person("John", 30)

When working with data in Python, it's essential to understand the differences between these data types. Knowing when to use each type will help you write efficient, readable, and maintainable code.

Data types in python with examples w3schools

I'd be happy to provide information on data types in Python along with examples from W3Schools.

Python is a high-level programming language that supports multiple data types, which are used to define the type of data a variable can hold. Here are some of the most common data types in Python:

Integers (int): These are whole numbers, either positive, negative, or zero. Example: x = 5 is an integer.

python
x = 5
print(type(x))  # Output: <class 'int'>

Floats (float): These are decimal numbers. Examples: y = 3.14 and z = -0.5.

python
y = 3.14
z = -0.5
print(type(y))  # Output: <class 'float'>
print(type(z))  # Output: <class 'float'>

Strings (str): These are sequences of characters, such as words or phrases. Example: phrase = "Hello World".

python
phrase = "Hello World"
print(type(phrase))  # Output: <class 'str'>

Boolean (bool): This data type has two values: True and False. Examples: is_admin = True and is_admin = False.

python
is_admin = True
print(type(is_admin))  # Output: <class 'bool'>

List (list): These are ordered collections of items that can be of any data type, including strings, integers, floats, and other lists.

python
my_list = ["apple", "banana", "cherry"]
print(type(my_list))  # Output: <class 'list'>

Tuple (tuple): These are ordered, immutable collections of items that can be of any data type, including strings, integers, floats, and other tuples.

python
my_tuple = ("apple", "banana", "cherry")
print(type(my_tuple))  # Output: <class 'tuple'>

Dictionary (dict): These are unordered collections of key-value pairs where the keys are unique and immutable.

python
my_dict = {"name": "John", "age": 30}
print(type(my_dict))  # Output: <class 'dict'>

Set (set): These are unordered, unindexed collections of items that can be of any data type, including strings, integers, floats, and other sets.

python
my_set = {"apple", "banana", "cherry"}
print(type(my_set))  # Output: <class 'set'>

These are the most common data types in Python. Understanding these data types is essential for any programmer working with Python.