In Python, mutable data types (like lists and dictionaries) allow in-place modifications, which can lead to side effects if not handled carefully. Use methods like .copy() ...

Python classifies its data types into mutable and immutable categories. Mutable data types can be modified after their creation, while immutable types cannot. Because mutable types can be altered ...

Mutable data types are those that can be changed after their creation. Modifications such as adding, removing, or updating elements happen in place without changing the memory address. The try keyword ...

In Python, mutable data types like lists can be modified directly, while immutable types like tuples can't be changed after creation. To handle them effectively, ...