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In Python, objects can be classified as either mutable or immutable based on whether their state can be changed after they are created. Understanding the difference between these two types of objects is crucial for effective programming.
Immutable Objects
Immutable objects are those whose state cannot be modified after they are created. If you need to change the value of an immutable object, you must create a new object with the new value. Common examples of immutable objects in Python include:
Numbers: int, float, complex
Strings: str
Tuples: tuple
Booleans: bool
Frozen Sets: frozenset
Example of Immutable Objects
# Example of an immutable tupletuple1 = (0, 1, 2, 3)tuple1[0] = 4 # This will raise a TypeErrorOutput:
TypeError: 'tuple' object does not support item assignmentIn this example, attempting to modify a tuple results in an error because tuples are immutable1.
Mutable Objects
Mutable vs Immutable Objects in Python - GeeksforGeeks
May 21, 2024 · Python’s Mutable vs Immutable. Mutable and immutable objects are handled differently in Python. Immutable objects are quicker to access and are expensive to change …
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Python's Mutable vs Immutable Types: What's the Difference?
Jan 26, 2025 · The difference between mutable and immutable objects is that mutable objects can be modified, while immutable objects can’t be altered once created. Python lists are mutable, …
Difference Between Mutable and Immutable in Python
Sep 16, 2024 · Data types in Python are categorized into mutable and immutable. Mutable data types have values that can be changed, whereas immutable data types have values that can’t be changed. In this article, we discuss the …
Mutable vs Immutable Data Types in Python
Understanding mutable and immutable data types is crucial for writing efficient and bug-free Python code. This guide explores the key differences between mutable and immutable objects and their practical implications in Python …
Mutable vs Immutable Objects in Python – A Visual and Hands-On …
See more on freecodecamp.orgUnlike other programming languages where the language supports objects, in Python really everythingis an object – including integers, lists, and even functions. We can use our interpreter to verify that: Python has a built-in function, id, which returns the address of an object in memory. For example: Above, we created an …- Estimated Reading Time: 6 mins
Mutable vs Immutable Types in Python - PyTutorial
Feb 15, 2025 · In Python, mutable and immutable types serve different purposes. Mutable types like lists and dictionaries allow in-place modifications, while immutable types like strings and tuples ensure data integrity. Knowing when to …
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Difference Between Mutable and Immutable in Python
Feb 17, 2025 · Understanding the difference between mutable and immutable objects is key to managing data effectively and writing robust Python code. In this article, we will understand the difference between the mutable and immutable, …
Mutable and Immutable Objects in Python with Real-World …
Jan 24, 2024 · In Python, the distinction between mutable and immutable objects is fundamental to how data is handled. Recognizing the characteristics and use cases of each type empowers …
Python Mutable vs. Immutable Data Types - Tpoint Tech - Java
Aug 29, 2024 · Immutable refers to a state in which no change can occur over time. A Python object is referred to as immutable if we cannot change its value over time. The value of these …
python - Immutable vs Mutable types - Stack Overflow
Nov 9, 2011 · In Python, think of variables as objects containing pointers to other objects, where everything is an object, and each object contains a bit specifying whether it is mutable or immutable, and mutable variables are passed by …
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