Data Structures & Data Types in Python

Python is a dynamically typed language, which means that the data type of a variable is determined at runtime, depending on the value assigned to it. Here are some common data types in Python:

Numbers: Python supports different types of numbers, including integers, floating-point numbers, and complex numbers. Examples:

x = 5 # integer
y = 3.14 # floating-point number
z = 2 + 3j # complex number

Strings: A sequence of characters enclosed in quotation marks. Examples:

name = "Alice"
message = 'Hello, world!'

Lists: A collection of items enclosed in square brackets, separated by commas. Lists are mutable, which means you can change the items in the list. Examples:

fruits = ["apple", "banana", "cherry"]
numbers = [1, 2, 3, 4, 5]

Tuples: A collection of items enclosed in parentheses, separated by commas. Tuples are immutable, which means you cannot change the items in the tuple. Examples:

point = (3, 4)
colors = ("red", "green", "blue")

Dictionaries: A collection of key-value pairs enclosed in curly braces. Keys are unique and immutable, and values can be of any data type. Examples:

person = {"name": "Alice", "age": 30, "city": "New York"}
grades = {"Alice": 90, "Bob": 85, "Charlie": 95}

Sets: A collection of unique items enclosed in curly braces or created using the set() function. Examples:

fruits = {"apple", "banana", "cherry"}
numbers = set([1, 2, 3, 4, 5])

Python also has a boolean data type, which can have two values: True and False. Boolean values are often used in control statements and conditional expressions.

It's important to note that Python is an object-oriented language, which means that every value in Python is an object, and every object has a type (which is also an object). The built-in type() function can be used to determine the type of an object.

@ParagDhawan