Python Data Types with Examples
Python data types: It has several built-in data types that are used to store different kinds of data. Here’s an explanation of the main data types with examples:
Python Data Types: Numeric Types
Integer (int
)
Whole numbers, positive or negative, without decimals.
x = 10
y = -5
print(type(x)) # Output: <class 'int'>
Float (float
)
Numbers with decimal points or in exponential form.
a = 3.14
b = -0.5
c = 2.5e2 # 2.5 × 10² = 250.0
print(type(a)) # Output: <class 'float'>
Complex (complex
)
Numbers with real and imaginary parts (j or J for imaginary part).
z = 3 + 4j
print(type(z)) # Output: <class 'complex'>
print(z.real) # Output: 3.0
print(z.imag) # Output: 4.0
Python Data Types: Sequence Types
String (str
)
Ordered sequence of characters enclosed in single, double, or triple quotes.
s1 = 'Hello'
s2 = "Python"
s3 = '''Multi-line
string'''
print(type(s1)) # Output: <class 'str'>
List (list
)
Mutable, ordered sequence of elements enclosed in square brackets.
my_list = [1, 2.5, 'apple', True]
print(type(my_list)) # Output: <class 'list'>
my_list[0] = 10 # Lists are mutable
Tuple (tuple
)
Immutable, ordered sequence of elements enclosed in parentheses.
my_tuple = (1, 2.5, 'apple', True)
print(type(my_tuple)) # Output: <class 'tuple'>
# my_tuple[0] = 10 # This would raise an error (tuples are immutable)
Python Data Types: Mapping Type
Dictionary (dict
)
Unordered collection of key-value pairs enclosed in curly braces.
my_dict = {'name': 'Alice', 'age': 25, 'city': 'New York'}
print(type(my_dict)) # Output: <class 'dict'>
print(my_dict['name']) # Output: Alice
Python Data Types: Set Types
Set (set
)
Unordered collection of unique elements enclosed in curly braces.
my_set = {1, 2, 3, 3, 2} # Duplicates are removed
print(type(my_set)) # Output: <class 'set'>
print(my_set) # Output: {1, 2, 3}
Frozen Set (frozenset
)
Immutable version of a set.
f_set = frozenset([1, 2, 3])
print(type(f_set)) # Output: <class 'frozenset'>
Python Data Types: Boolean Type (bool
)
Represents truth values: True
or False
.
is_valid = True
is_empty = False
print(type(is_valid)) # Output: <class 'bool'>
Python Data Types: Binary Types
Bytes (bytes
)
Immutable sequence of bytes (0-255).
b = b'hello'
print(type(b)) # Output: <class 'bytes'>
Bytearray (bytearray
)
Mutable sequence of bytes.
ba = bytearray(b'hello')
print(type(ba)) # Output: <class 'bytearray'>
Memoryview (memoryview
)
Memory view object of a byte-based object.
mv = memoryview(b'hello')
print(type(mv)) # Output: <class 'memoryview'>
Checking Data Types
You can check the type of any object using the type()
function:
x = 42
print(type(x)) # Output: <class 'int'>
Python Data Types: Type Conversion
Python allows you to convert between types using constructor functions:
# int to float
x = float(5) # 5.0
# float to int (truncates decimal)
y = int(3.9) # 3 (not rounded)
# string to int
z = int("10") # 10
# int to string
s = str(25) # "25"
Understanding these data types is fundamental to Python programming as they determine what operations can be performed on the data.