Python Datatypes

Python has several built-in data types that can be used to store different kinds of values. The most common data types in Python include:

• Integers (int): Whole numbers such as 1, 2, 3, etc.
• Floating-point numbers (float): Decimal numbers such as 3.14, 2.0, etc.
• Strings (str): Ordered sequences of characters such as "hello", "world", etc.
• Booleans (bool): Logical values that can be either True or False.
• Lists: Ordered collections of objects that can be of different data types.
• Tuples: Immutable ordered collections of objects that can be of different data types.
• Sets: Unordered collections of unique objects.
• Dictionaries: Unordered collections of key-value pairs.

Here are some examples of creating variables of different data types:

# Integers
x = 5
y = 10
z = -3

# Floats
a = 3.14
b = 2.0
c = -1.5

# Strings
name = "John"
message = "Hello, world!"

# Booleans
is_student = True
is_teacher = False

# Lists
my_list = [1, 2, "hello", True]

# Tuples
my_tuple = (1, "hello", 3.14)

# Sets
my_set = {1, 2, 3}

# Dictionaries
my_dict = {"name": "John", "age": 25, "is_student": True}

Python also has some other data types, such as complex numbers and byte arrays, but they are less commonly used in everyday programming.