Python Data Types - Exercises, Practice, Solution (Includes PDF)

Introduction

Welcome to the PythonSage! If you are new to Python programming, understanding data types is one of the first important steps. You might be thinking about how to effectively learn these data types, and we are here to help you with that.

In this blog post, you will gain a clear understanding of Python's basic data types, with practical examples and exercises to boost your learning. We also provide you downloadable PDFs of exercise and their solutions to help you practice on your own.

By the end of this post, you'll have a solid understanding of Python data types and feel more confident in using them in your coding projects. Let's get started!

Basic Data Types in Python

Definition: Represents whole numbers, both positive and negative.

Example:

age = 25

print(age)  # Output: 25

print(type(age))  # Output: class 'int'

Floating-Point Number (float):

Definition: Represents real numbers, including decimal points.

Example:

height = 5.9

print(height) # Output: 5.9

print(type(height)) # Output: class 'float'

String (str):

Definition: Represents a sequence of characters enclosed in quotes.

Example:

name = "Abdullah"

print(name)  # Output: Abdullah

print(type(name))  # Output: class 'str'

List (list):

Definition: Represents an ordered collection of items, which can be of different types.

Example:

fruits = ["apple", "banana", "cherry"]

print(fruits)  # Output: ['apple', 'banana', 'cherry']

print(type(fruits))  # Output: class 'list'

Tuple (tuple):

Definition: Represents an ordered collection of immutable items.

Example:

colors = ("red", "green", "blue")

print(colors)  # Output: ('red', 'green', 'blue')

print(type(colors))  # Output: class 'tuple'

Dictionary (dict):

Definition: Represents a collection of key-value pairs.

Example:

person = {"name": "Abdullah", "age": 30, "city": "New York"}

print(person) # Output: {'name': 'Abdullah', 'age': 24, 'city': 'New York'}

print(type(person)) # Output: class 'dict'