Python Data Types

In Python, data types are used to classify and store different types of data. Different data types have different characteristics and behaviors, and choosing the right data type is an important part of programming in Python.

Here are some common data types in Python:

Integers

Integers are whole numbers that can be positive, negative, or zero. They are typically used to represent counts or quantities.

x = 5
y = -3
z = 0

Floats

Floats are numbers with decimal points. They are often used to represent real numbers or approximate values.

x = 3.14
y = -2.718
z = 0.0

Strings

Strings are sequences of characters that can represent text or data. They are often used to store words, sentences, or other kinds of text.

x = 'hello'
y = "world"
z = '''triple quotes
can span multiple lines'''

Booleans

Booleans are data type with only two values: True or False. They are often used to represent the truth value of a statement or condition.

x = True
y = False

Lists

Lists are ordered collections of items that can be of any data type, including other lists. Lists are often used to store related data that needs to be accessed or manipulated as a group.

x = [1, 2, 3]
y = ['cat', 'dog', 'bird']
z = [1, 'cat', 3.14, [1, 2, 3]]

Tuples

Tuples are similar to lists, but they are immutable, meaning that their values cannot be modified once created. Tuples are often used to store data that should not be changed, such as constant values or data that is derived from other sources.

x = (1, 2, 3)
y = ('cat', 'dog', 'bird')
z = (1, 'cat', 3.14, (1, 2, 3))

Dictionaries

Dictionaries are unordered collections of data that are stored as key-value pairs. Dictionaries are often used to store data that is associated with specific keys and needs to be accessed by those keys.

x = {'name': 'John', 'age': 25, 'courses': ['math', 'science']}
y = {0: 'zero', 1: 'one', 2: 'two'}
z = {'numbers': [0, 1, 2], 'letters': ['a', 'b', 'c']}

Sets

Sets are unordered collections of unique items. They are often used to store data that needs to be treated as a set (e.g. without duplicates) or to perform set operations like intersection and union.

x = {1, 2, 3}
y = {'cat', 'dog', 'bird'}
z = {1, 'cat', 3.14, (1, 2, 3)}

Overall, Python has a wide range of data types that you can use to store and manipulate different kinds of data. Whether you're working with integers, floats, strings, booleans, lists, tuples, dictionaries, or sets, it's important to choose the right data type