type
In Python, a type represents the classification of a value or object, determining the kinds of operations that can be performed on it and the ways it can interact with other objects.
Types are essentially the blueprint or definition that specifies what an object is, such as an integer, string, list, or user-defined class.
Example
Here are a few examples of different types in Python. Note that you can use the built-in type()
function to determine an object’s type:
>>> type(42)
<class 'int'>
>>> type("Alice")
<class 'str'>
>>> type([1, 2, 3])
<class 'list'>
>>> class Circle: pass
...
>>> type(Circle)
<class 'type'>
This code shows different Python types, including an integer (int
), string (str
), list, and user-defined class. To run the check, you use the type()
function. Additionally, user-defined classes like Circle
are themselves objects of the type
class, highlighting Python’s nature where classes are first-class objects.
Related Resources
Tutorial
Basic Data Types in Python: A Quick Exploration
In this tutorial, you'll learn about the basic data types that are built into Python, including numbers, strings, bytes, and Booleans.
For additional information on related topics, take a look at the following resources:
- Python Classes: The Power of Object-Oriented Programming (Tutorial)
- Duck Typing in Python: Writing Flexible and Decoupled Code (Tutorial)
- Python Type Checking (Guide) (Tutorial)
- Exploring Basic Data Types in Python (Course)
- Basic Data Types in Python: A Quick Exploration (Quiz)
- Class Concepts: Object-Oriented Programming in Python (Course)
- Inheritance and Internals: Object-Oriented Programming in Python (Course)
- Python Classes - The Power of Object-Oriented Programming (Quiz)
- Python Type Checking (Course)
- Python Type Checking (Quiz)