This guide explores the key differences between mutable and immutable objects and their practical implications in Python programming. Mutable objects can be modified after creation. Their content can be changed without changing their identity (memory address). Immutable objects cannot be modified after creation.

In Python, dictionaries are mutable. This means that you can modify the contents of a dictionary after it has been created. You can add, update or remove key-value pairs in a dictionary which makes it a flexible and dynamic data structure. What Does It Mean for Dictionaries to Be Mutable?

Mutable: A mutable object can be modified after it is created. Operations on a mutable object change the object itself without creating a new one. Examples of mutable types in Python are lists, dictionaries, and sets. Let's look at some code examples to understand the difference between mutable and immutable types.

In Python, dictionary values can be either mutable or immutable. Understanding the difference between these two types is essential for writing robust and efficient code. Immutable values provide simplicity and prevent accidental modifications, while mutable values allow for dynamic data storage and updates.