Data types in Python

 

-Data types in Python –

Python provides a variety of built-in data types that allow you to handle different kinds of data effectively. Here are the most commonly used data types in Python:

 

1. Numeric Types

• int: Integer numbers (e.g., 5, -3, 100)
• float: Floating-point numbers (e.g., 3.14, -0.001, 2.0)
• complex: Complex numbers (e.g., 1+2j, 3-4j)

 

2. Sequence Types

• str: String, a sequence of characters (e.g., “hello”, “123”)
• list: Ordered, mutable collection of items (e.g., [1, 2, 3], [“apple”, “banana”, “cherry”])
• tuple: Ordered, immutable collection of items (e.g., (1, 2, 3), (“apple”, “banana”, “cherry”))

 

3. Mapping Type

• dict: Dictionary, a collection of key-value pairs (e.g., {“name”: “John”, “age”: 30})

 

4.Set Types

• set: Unordered collection of unique items (e.g., {1, 2, 3}, {“apple”, “banana”})
• frozenset: Immutable version of a set (e.g., frozenset([1, 2, 3]))

 

5. Boolean Type

• bool: Boolean value (True or False)

 

6. None Type

• NoneType: Represents the absence of a value or a null value (None)

 

Examples

Here are examples demonstrating the use of each data type:

 

• ‏# Numeric Types

x_int = 5 # int

x_float = 3.14 # float

x_complex = 1 + 2j # complex

 

• # Sequence Types

x_str = “hello” # str

x_list = [1, 2, 3, “apple”] # list

x_tuple = (1, 2, 3, “banana”) # tuple

 

• # Mapping Type

x_dict = {“name”: “John”, “age”: 30} # dict

 

• # Set Types

x_set = {1, 2, 3, “apple”} # set

x_frozenset = frozenset([1, 2, 3, “banana”]) # frozenset

 

• # Boolean Type

x_bool = True # bool

 

• # None Type

x_none = None # NoneType

 

Checking Data Types

You can use the type() function to check the type of a variable:

print(type(x_int))

# Output: <class ‘int’>

print(type(x_float))

# Output: <class ‘float’>

print(type(x_complex))

# Output: <class ‘complex’>

print(type(x_str))

# Output: <class ‘str’>

print(type(x_list))

# Output: <class ‘list’>

print(type(x_tuple))

# Output: <class ‘tuple’>

print(type(x_dict))

# Output: <class ‘dict’>

print(type(x_set))

# Output: <class ‘set’>

print(type(x_frozenset))

# Output: <class ‘frozenset’>

print(type(x_bool))

# Output: <class ‘bool’>

print(type(x_none))

# Output: <class ‘NoneType’>

 

Understanding these data types and their properties is fundamental to effectively using Python for various programming tasks.

 

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