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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 because it involves the creation of a copy. Whereas mutable objects are easy to change.
Therefore, you need to know how mutable and immutable objects work in Python. In this tutorial, you’ll: Understand how mutability and immutability work under the hood in Python; Explore immutable and mutable built-in data types in Python; Identify and avoid some common mutability-related gotchas
An object whose internal state can be changed is called a mutable object, while an object whose internal state cannot be changed is called an immutable object. The following are examples of immutable objects: Numbers ( int, float, bool ,…) Strings. Tuples. Frozen sets. And the following are examples of mutable objects: Lists. Sets. Dictionaries.
Mar 9, 2024 · Mutable in Python can be defined as the object that can change or be regarded as something changeable in nature. Mutable means the ability to modify or edit a value.
Nov 11, 2020 · In this post we will deepen our knowledge of Python objects, learn the difference between mutable and immutable objects, and see how we can use the interpreter to better understand how Python operates.
Apr 20, 2023 · What are mutable and immutable objects in Python? Mutable objects in Python are those whose state or content can be altered after creation. Lists, dictionaries, and sets are examples of mutable objects.
Dec 16, 2020 · In Python, by default, objects are passed to function ‘by reference ’. So one should be careful when mutable/immutable objects are passed to function call to avoid unintended side-effects. Let’s look at two examples:
