Introduction to Python Data Types: int, float, str, list, tuple, and dict

Welcome to the Python beginner village! In this tutorial we explore the core data types of Python, which are the building blocks of any program and essential for a solid start in coding.

Integer (int)

Integers store whole numbers without a decimal point.

age = 25  # define an integer variable

print(age)

Float (float)

Floats are used for numbers that contain a decimal point.

pi = 3.14159  # define a float variable

print(pi)

String (str)

Strings are sequences of characters enclosed in single or double quotes.

greeting = 'Hello, world!'  # single‑quoted string

print(greeting)

message = "I'm learning Python."  # double‑quoted string

print(message)

List (list)

Lists are mutable ordered collections that can hold items of any type.

fruits = ['apple', 'banana', 'cherry']  # define a list

print(fruits)

fruits.append('orange')  # add an element to the end

print(fruits)

print(fruits[0])  # access the first element

Tuple (tuple)

Tuples are similar to lists but immutable once created, useful for fixed sequences.

colors = ('red', 'green', 'blue')  # define a tuple

print(colors)

print(colors[1])  # access the second element

Dictionary (dict)

Dictionaries store key‑value pairs, ideal for data with unique identifiers.

person = {'name': 'Alice', 'age': 30, 'city': 'New York'}  # define a dict

print(person)

person['age'] = 31  # modify a value

print(person)

print(person['name'])  # access a value by key

These six data types each have unique strengths and uses; mastering them enables you to write more efficient, elegant, and powerful Python code.