Practical Data Science using Python - Python Sets 2

The video tutorial explains the difference between using the assignment operator and the copy function in Python when working with sets. It highlights that using the assignment operator creates a new reference to the same memory location, meaning changes in one set reflect in the other. To create a physically separate copy, the copy function should be used. The tutorial demonstrates this by showing that changes in the original set do not affect the copied set when using the copy function.

What happens when you use the assignment operator to set one set equal to another?

• The two sets become immutable.

• A new set is created with different elements.

• The two sets point to the same memory location.

• The original set is deleted.

Which function is used to create a physically separate copy of a set?

• replicate()

• copy()

• duplicate()

• clone()

What is the result of printing the memory IDs of two sets created using the copy function?

• They have no memory IDs.

• They share some memory IDs.

• They have different memory IDs.

• They have the same memory ID.

After updating the original set, what happens to the copied set created using the copy function?

• The copied set becomes empty.

• The copied set is deleted.

• The copied set remains unchanged.

• The copied set also gets updated.

Why is it important to use the copy function instead of the assignment operator when creating a separate copy of a set?

• To make the sets immutable.

• To delete the original set.

• To ensure the sets have different elements.

• To ensure the sets have different memory locations.