Data Types in Python

Introduction

In Python, data types classify the nature of data a variable can hold. Since Python treats everything as an object, understanding its data types is crucial for effective programming. This guide explores the various built-in data types in Python.

Numeric Data Types

Numeric types represent numbers and are immutable. Python supports three numeric types:

• int: Whole numbers, e.g., 10, -5
• float: Decimal numbers, e.g., 3.14, -0.001
• complex: Numbers with real and imaginary parts, e.g., 2 + 3j

a = 10
b = 3.14
c = 2 + 3j
print(type(a))  # <class 'int'>
print(type(b))  # <class 'float'>
print(type(c))  # <class 'complex'>

Sequence Data Types

Sequences are ordered collections of items. Python includes several sequence types:

• str: Immutable text sequences
• list: Mutable sequences of items
• tuple: Immutable sequences of items

text = "Hello"
numbers = [1, 2, 3]
coordinates = (10.0, 20.0)
print(type(text))       # <class 'str'>
print(type(numbers))    # <class 'list'>
print(type(coordinates))# <class 'tuple'>

Mapping Data Type

Mappings store key-value pairs. Python's primary mapping type is:

• dict: Mutable collection of key-value pairs

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

Set Data Types

Sets are unordered collections of unique items. Python provides:

• set: Mutable set
• frozenset: Immutable set

unique_numbers = {1, 2, 3}
immutable_set = frozenset([4, 5, 6])
print(type(unique_numbers))  # <class 'set'>
print(type(immutable_set))   # <class 'frozenset'>

Boolean Data Type

Booleans represent truth values:

• bool: True or False

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

Binary Data Types

Binary types handle binary data:

• bytes: Immutable sequence of bytes
• bytearray: Mutable sequence of bytes
• memoryview: Memory view object of another binary object

data = bytes([65, 66, 67])
mutable_data = bytearray([68, 69, 70])
view = memoryview(data)
print(type(data))        # <class 'bytes'>
print(type(mutable_data))# <class 'bytearray'>
print(type(view))        # <class 'memoryview'>

Conclusion

Understanding Python's data types is fundamental for writing efficient and error-free code. Each type serves a specific purpose and choosing the right one is key to effective programming.