In Python, every value has a data type. Data types define the nature of a value, and Python provides a wide variety of built-in data types to handle different kinds of data. Understanding these is crucial for effective programming.

A sequence of Unicode characters.

name = "Dhruba"

You can perform operations like:

• Slicing
• Concatenation
• Length check with len()

Whole numbers:

age = 25

Decimal numbers:

pi = 3.14

Numbers with real and imaginary parts:

z = 2 + 3j

Mutable, ordered sequence:

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

Immutable, ordered sequence:

dimensions = (1024, 768)

Represents a sequence of numbers:

nums = range(5)

Unordered collection of key-value pairs:

person = {
  "name": "Alice",
  "age": 30
}

Unordered, mutable, no duplicates:

unique_ids = {1, 2, 3}

Immutable version of a set:

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

Only True or False:

is_active = True

Immutable byte sequence:

b = b"Hello"

Mutable version:

ba = bytearray([65, 66, 67])

Provides memory-efficient access:

mv = memoryview(bytes([1, 2, 3]))

Represents no value:

response = None

type(3.14)  # Output: <class 'float'>

int("5")     # Output: 5
str(10)      # Output: "10"
list("abc")  # Output: ['a', 'b', 'c']

Python provides a variety of built-in data types to handle data in efficient and expressive ways. Knowing when and how to use each data type is essential for writing clean and effective Python code.