Datatype in python.

 

In Python, data types define the kind of value a variable can store. Python i

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✅ Python Data Types

1. Numeric Types

Used to store numbers.

a) int (Integer)

Whole numbers (positive or negative).

a = 10
b = -3

b) float (Floating point)

Decimal numbers.

x = 3.14
y = -0.99

c) complex

Numbers with real + imaginary part.

z = 2 + 3j

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2. String Type

Used to store text enclosed in quotes.

name = "Meenu"

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3. Boolean Type

Stores True or False values.

is_valid = True

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4. Sequence Types

a) list

Ordered, changeable, allows duplicates.

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

b) tuple

Ordered, unchangeable, allows duplicates.

data = (10, 20, 30)

c) range

Represents a sequence of numbers.

r = range(5)   # 0 to 4

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5. Mapping Type

dict (Dictionary)

Stores data in key–value pairs.

student = {"name": "Meenu", "age": 21}

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6. Set Types

a) set

Unordered, no duplicates.

colors = {"red", "green", "blue"}

b) frozenset

Like set, but immutable.

fs = frozenset([1, 2, 3])

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7. None Type

Represents no value.

x = None

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📌 Example Program

a = 10           # int
b = 3.5          # float
c = "Hello"      # string

d = True         # boolean
e = [1, 2, 3]    # list
f = (4, 5, 6)    # tuple
g = {"x": 10}    # dict

h = {1, 2, 3}    # set

i = None         # NoneTypeSure! Here is more detailed and easy-to-understand notes on Python Data Types.

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⭐ Detailed Notes on Python Data Types

Python has built-in data types that classify the type of value stored in variables. These types help Python understand how to store and process the data.

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🔶 1. Numeric Data Types

a) int (Integer)

• Whole numbers (no decimals)
• Positive or negative
• No limit on size (Python handles big numbers)

Examples:

a = 10
b = -45
c = 1000000

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b) float

• Decimal numbers
• Used when precision is needed

Examples:

x = 3.14
y = -0.55

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c) complex

• Includes real + imaginary parts
• Imaginary part is written using j

Example:

z = 2 + 3j

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🔶 2. String (str)

• Collection of characters
• Written in single ' ', double " ", or triple quotes ''' '''

Example:

name = "Meenu"

String characteristics:

• Ordered
• Immutable (cannot change characters directly)

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🔶 3. Boolean (bool)

Used for logical values.

Values:

• True
• False

Example:

is_ready = True

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🔶 4. Sequence Types

a) list

• Ordered
• Changeable (mutable)
• Allows duplicates

Example:

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

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b) tuple

• Ordered
• Not changeable (immutable)
• Allows duplicates

Example:

numbers = (10, 20, 30)

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c) range

Used to generate a sequence of numbers.

Example:

r = range(1, 6)   # 1 to 5

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🔶 5. Dictionary (dict)

• Stores data in key–value pairs
• Ordered (Python 3.7+)
• Mutable

Example:

student = {"name": "Meenu", "age": 21}

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🔶 6. Set Types

a) set

• Unordered
• No duplicates

Example:

colors = {"red", "green", "blue"}

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b) frozenset

• Same as set but immutable

Example:

fs = frozenset([1, 2, 3])

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🔶 7. None Type

Represents the absence of value.

Example:

x = None

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📌 Bonus: How to Check Data Type?

Use type() function:

a = 10
print(type(a))   # <class 'int'>

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If you want, I can also give you a table, short notes, or examples with memory diagrams.