Python's Mutable vs Immutable Types: What's the Difference?
As a Python developer, you’ll have to deal with mutable and immutable objects sooner or later. Mutable objects are those that allow you to change their value or data in place without affecting the object’s identity. In contrast, immutable objects don’t allow this kind of operation. You’ll just have the option of creating new objects of the same type with different values.
In Python, mutability is a characteristic that may profoundly influence your decision when choosing which data type to use in solving a given programming problem. Therefore, you need to know how mutable and immutable objects work in Python.
To dive smoothly into this fundamental Python topic, you should be familiar with how variables work in Python. You should also know the basics of Python’s built-in data types, such as numbers, strings, tuples, lists, dictionaries, sets, and others. Finally, knowing how object-oriented programming works in Python is also a good starting point.
Free Sample Code: Click here to download the free sample code that you’ll use to explore mutable vs immutable data types in Python.
