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Python for Beginners - Python Data Types

Python supports several built-in data types, including:

Numeric Types:

Integer (int): Whole numbers without a fractional component.

Floating-point (float): Numbers with a fractional component.

Complex (complex): Numbers with a real and imaginary part.

Sequence Types:

String (str): A sequence of characters.

List (list): An ordered collection of items.

Tuple (tuple): An ordered, immutable collection of items.

Mapping Type:

Dictionary (dict): A collection of key-value pairs.

Set Types:

Set (set): An unordered collection of unique elements.

Frozen set (frozenset): An immutable version of a set.

Boolean Type:

Boolean (bool): Represents either True or False.

Binary Types:

Bytes (bytes): A sequence of bytes.

Bytearray (bytearray): A mutable sequence of bytes.

These are the main built-in data types in Python. Additionally, Python also allows you to define and work with custom data types using classes and objects.


Here are some examples of each data type:

Numeric Types:

# Integer
x = 10

# Floating-point
y = 3.14

# Complex
z = 2 + 3j

Sequence Types:

# String
name = "John Doe"

# List
numbers = [1, 2, 3, 4, 5]

# Tuple
coordinates = (10, 20)

Mapping Type:

# Dictionary
person = {"name": "John Doe", "age": 25, "city": "New York"}

Set Types:

# Set
fruits = {"apple", "banana", "orange"}

# Frozen set
vowels = frozenset(["a", "e", "i", "o", "u"])

Boolean Type:

# Boolean
is_valid = True
is_complete = False

Binary Types:

# Bytes
data = b'Hello World'

# Bytearray
buffer = bytearray([0x01, 0x02, 0x03, 0x04])

These examples demonstrate the usage of different data types in Python. You can perform various operations and manipulations on these data types based on their specific characteristics and methods.




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