Two references, one list
Linked together, never apart
Modify one, see the change in the other
In Python, when we have two references to one list, it means that we have two variables that point to the same list object in memory. This means that if we modify the list through one variable, the changes will be reflected when we access the list through the other variable. It’s important to be aware of this behavior, especially when working with functions and mutable objects like lists, as it can lead to unexpected results if not handled carefully. One edge case to be mindful of is when passing a list as an argument to a function, as the function can modify the list in place if it operates on the reference to the list. It’s crucial to keep this in mind when designing and debugging code that involves multiple references to the same list.
ANSWER: [1, 4, 3]https://t.co/5spFpVLvkN https://t.co/V22Tv0vPrp https://t.co/mRZLllz4by
— Walker Spearson (@SpearsonWa83643) January 28, 2024