Python Data Type

Python supports several built-in data types that allow you to represent and work with different kinds of data. Here are some commonly used data types in Python:

  1. Numeric Types:

    • int: Represents integers, such as 3, -10, or 1000.
    • float: Represents floating-point numbers (decimal numbers), such as 3.14 or -2.5.
    • complex: Represents complex numbers, in the form a + bj, where a and b are floats, and j represents the imaginary unit.

  2. String:

    • str: Represents a sequence of characters, such as "Hello" or "Python is fun!" Strings are enclosed in single quotes ('') or double quotes ("").

  3. Boolean:

    • bool: Represents a Boolean value, which can be either True or False. Booleans are often used for logical operations and control flow.

  4. Sequence Types:

    • list: Represents an ordered collection of items. Lists can contain elements of different types, and they are mutable (modifiable).
    • tuple: Represents an ordered collection of items, similar to lists, but tuples are immutable (cannot be modified).
    • range: Represents a sequence of numbers, commonly used in loops and iterations.

  5. Mapping Type:

    • dict: Represents a collection of key-value pairs. Each value is associated with a unique key, allowing efficient lookup and retrieval.

  6. Set Types:

    • set: Represents an unordered collection of unique elements. Sets are useful for operations like union, intersection, and difference.
    • frozenset: Similar to sets, but frozensets are immutable.

  7. None Type:

    • None: Represents the absence of a value. It is often used to indicate a null or empty state.

These are just a few examples of Python's built-in data types. Python also allows you to create custom data types using classes and objects.

You can determine the type of a value or variable using the type() function, which returns the data type of the specified object.

Example 
num = 42
print(type(num))  # Output: <class 'int'>

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

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

Understanding data types is essential in Python programming, as it helps you choose appropriate operations, handle data correctly, and build robust applications.

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