Topic 5:- Python Data types

What are Python Data Types?

Data types define the kind of value a variable can hold  for example, numbers, text, lists, etc.
Python automatically determines the data type based on the value assigned (it’s dynamically typed).

1. Numeric Data Types

Type	Description	Example
int	Integer numbers (no decimal)	x = 10
float	Decimal or floating-point numbers	y = 3.14
complex	Complex numbers with real and imaginary parts	z = 2 + 3j

 

Python Datatype

Example:

a = 10        # int
b = 3.14      # float
c = 2 + 5j    # complex

print(type(a))  # <class 'int'>
print(type(b))  # <class 'float'>
print(type(c))  # <class 'complex'>

2. String Data Type (str)

Used for text data, enclosed in quotes ' ' or " ".

Syntax:

string_variable = "Hello, Python!"

Example:

name = "Kavi"
print(name.upper())     # KAVI
print(name[0])          # K

3. List Data Type (list)

Ordered, mutable (can be changed), and can hold different data types.

Syntax:

list_name = [item1, item2, item3]

Example:

fruits = ["apple", "banana", "cherry"]
fruits.append("mango")
print(fruits)  # ['apple', 'banana', 'cherry', 'mango']

4. Tuple Data Type (tuple)

Ordered but immutable (cannot be changed after creation).

Syntax:

tuple_name = (item1, item2, item3)

Example:

colors = ("red", "green", "blue")
print(colors[1])  # green

5. Dictionary Data Type (dict)

Stores key-value pairs, unordered and mutable.

Syntax:

dict_name = {"key1": value1, "key2": value2}

Example:

student = {"name": "Kavi", "age": 23, "course": "Python"}
print(student["name"])  # Kavi

6. Set Data Type (set)

Unordered, no duplicates allowed, used for mathematical operations like union and intersection.

Syntax:

set_name = {item1, item2, item3}

Example:

numbers = {1, 2, 3, 3, 4}
print(numbers)  # {1, 2, 3, 4}

7. Boolean Data Type (bool)

Represents True or False values.

Syntax:

bool_var = True  # or False

Example:

x = 10
y = 20
print(x > y)   # False

 Summary

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Data Type	Example	Mutable	Ordered
int	10	No	N/A
float	3.14	No	N/A
complex	2 + 3j	No	N/A
str	"Hello"	No	Yes
list	[1, 2, 3]	Yes	Yes
tuple	(1, 2, 3)	No	Yes
dict	{"a": 1}	Yes	No (unordered till Python 3.6+)
set	{1, 2, 3}	Yes	No
bool	True / False	No	N/A