Data Types in Python (int, float, string) Explained Simply

Learn Data Types in Python with simple explanations, practical examples, and real-life use cases. Understand int, float, string, and how Python stores different kinds of information.

Introduction: Why Data Types Matter in Python

In the previous lesson, we learned that variables are used to store information.

But here’s an important question:

How does Python know whether the stored value is:

A number?
A decimal value?
A piece of text?
True or False?

The answer is:

👉 Data Types

Every value stored inside Python belongs to a specific data type.

For example:

name = "Ali"

Python understands that “Ali” is text.

age = 16

Python understands that 16 is a number.

height = 5.8

Python understands that 5.8 is a decimal number.

This ability allows Python to perform calculations, comparisons, and operations correctly.

Without data types, computers would become confused and unable to process information properly.

What is a Data Type?

A Data Type tells Python what kind of value is stored inside a variable.

Think of data types as labels.

For example:

Variable	Value	Data Type
name	Ali	String
age	16	Integer
height	5.8	Float

The label helps Python understand how to work with the value.

Real-Life Example: School Admission Form

Imagine a school admission form.

Student Name:

Ali

Age:

Percentage:

87.5

Notice that all three values are different.

Name is text.

Age is a whole number.

Percentage is a decimal number.

Python treats these values differently.

Data Type #1 – Integer (int)

An Integer is a whole number.

Integers do not contain decimal points.

Examples:

age = 16
marks = 450
year = 2026

All of these are integers.

Real-Life Examples of Integers

Student Age
Roll Number
Total Marks
Number of Books
Mobile Contacts Count

Example Program

marks = 450

print(marks)

Output:

Python identifies 450 as an Integer.

Mathematical Operations

num1 = 10
num2 = 20

print(num1 + num2)

Output:

Integers are heavily used in calculations.

Data Type #2 – Float

A Float is a decimal number.

Examples:

height = 5.8
percentage = 87.5
temperature = 36.7

Notice the decimal point.

That’s what makes them float values.

Real-Life Examples

GPA
Percentage
Height
Temperature
Weight

Example Program

percentage = 87.5

print(percentage)

Output:

87.5

Why Floats Are Important

Suppose a student scores:

87.5%

A normal integer cannot store this value accurately.

Therefore Python uses float.

GPA Calculator Example

gpa = 3.85

print(gpa)

Output:

3.85

This is exactly how GPA calculators work.

Data Type #3 – String

A String is text.

Anything written inside quotation marks becomes a string.

Examples:

name = "Ali"
city = "Lahore"
country = "Pakistan"

All are strings.

Real-Life Examples

Student Names
School Names
City Names
Website Names
Email Addresses

Example Program

name = "Ali"

print(name)

Output:

Ali

Why Quotes Matter

Correct:

name = "Ali"

Wrong:

name = Ali

Without quotes, Python thinks Ali is another variable.

String Example in Aspirian.pk

website = "Aspirian.pk"

print(website)

Output:

“`python
Aspirian.pk

How to Check Data Type Using type()

Python provides a special function:

type()

Example:

age = 16

print(type(age))

Output:

<class 'int'>

Float Example

percentage = 87.5

print(type(percentage))

Output:

<class 'float'>

String Example

name = "Ali"

print(type(name))

Output:

<class 'str'>

This is a useful skill for debugging programs.

Student Management System Example

student_name = "Ali"
age = 16
percentage = 87.5

print(student_name)
print(age)
print(percentage)

Output:

Ali
16
87.5

Notice how one program uses multiple data types together.

Banking Example

account_holder = "Ahmed"
balance = 50000
interest_rate = 12.5

String:

Ahmed

Integer:

50000

Float:

12.5

This is how real banking software stores information.

Game Development Example

player_name = "Ali"
score = 100
accuracy = 95.5

Again:

String + Integer + Float

Most modern games use thousands of variables like these.

Common Beginner Mistakes

Mistake #1

Using numbers inside quotes

age = "16"

This becomes a string.

Not an integer.

Mistake #2

Mixing text and numbers incorrectly

name = 123

This is technically allowed but logically incorrect.

Names should be stored as strings.

Mistake #3

Ignoring data types

Many beginners forget that Python treats each type differently.

Always know what kind of data you are storing.

Practice Exercises

Exercise 1

Create an Integer variable.

age = 16

Exercise 2

Create a Float variable.

gpa = 3.75

Exercise 3

Create a String variable.

name = "Ali"

Exercise 4

Print all values.

print(age)
print(gpa)
print(name)

Mini Project

Create Your Student Profile

student_name = "Ali"
class_name = "10th"
marks = 450
percentage = 81.8

print(student_name)
print(class_name)
print(marks)
print(percentage)

This mini-project uses:

✅ String
✅ Integer
✅ Float

All together in one program.

Internal Linking (Aspirian.pk Strategy)

👉 Previous Lesson:
Variables in Python – Easy Explanation with Daily Life Examples

👉 Next Lesson:
Taking Input from User in Python (Beginner Friendly Guide), coming soon!

Previous Lesson

Next Tutorial

External Linking (Authority Signal)

For official reference and future learning:

Python Official Documentation (for reference & learning)

Final Thoughts

Today you learned one of the most important foundations of Python programming:

✅ Integer (int)
✅ Float
✅ String
✅ Real-life examples
✅ Practical coding exercises
✅ Student projects

Remember:

Variables store data, while Data Types tell Python what kind of data is being stored.

Mastering data types will make future lessons like input handling, operators, conditions, loops, and functions much easier.

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