Python Data Types

Data types classify data values. they represent how they will used or need data type to perform any operation on them.

Remember if you try do any operation on variable of one type and variable of another, you will get an error.

In Python, common data types include:

    int (Integer): Whole numbers.
    float: Decimal numbers.
    str (String): Text.
    bool (Boolean): True or False.
    list: Ordered collection.
    tuple: Immutable ordered collection.
    dict (Dictionary): Key-value pairs.
    set: Unordered collection of unique elements.

    bytes: Immutable sequence of bytes.
    bytearray: Mutable sequence of bytes.
    memoryview: Memory buffer interface.

     NoneType: Represents absence of value.

below is the examples of all, click run to see the output :-

# Integer
x = 5
print(type(x))  # <class 'int'>

# Float
y = 3.14
print(type(y))  # <class 'float'>

# Complex
z = 2 + 3j
print(type(z))  # <class 'complex'>

# String
name = "John"
print(type(name))  # <class 'str'>

# List
numbers = [1, 2, 3]
print(type(numbers))  # <class 'list'>

# Tuple
coordinates = (10, 20)
print(type(coordinates))  # <class 'tuple'>

# Range
r = range(5)
print(type(r))  # <class 'range'>

# Dictionary
person = {"name": "Alice", "age": 30}
print(type(person))  # <class 'dict'>

# Set
unique_numbers = {1, 2, 3}
print(type(unique_numbers))  # <class 'set'>

# Frozenset
frozen_numbers = frozenset({4, 5, 6})
print(type(frozen_numbers))  # <class 'frozenset'>

# Boolean
is_student = True
print(type(is_student))  # <class 'bool'>

# Bytes
b = bytes([65, 66, 67])
print(type(b))  # <class 'bytes'>

# Bytearray
ba = bytearray(5)
print(type(ba))  # <class 'bytearray'>

# Memoryview
mv = memoryview(ba)
print(type(mv))  # <class 'memoryview'>

# None
none_type = None
print(type(none_type))  # <class 'NoneType'>

Some time we may get query like

which two python data types can relate to JSON?

 - Remember the two Python data types that can relate to JSON are dict (Dictionary) and list (Ordered collection).