Sets in Python: Advanced operations

This video delves into advanced set operations, building on previous knowledge of sets as collections of unique objects. It covers basic operations like union, intersection, and difference, as well as more advanced ones like symmetric difference and disjoint operations. The video also explains subset and superset concepts, including their proper versions. A practical example demonstrates using sets to compare files in different Python installations, highlighting the efficiency of sets in such tasks. Sets are ideal for testing membership and performing operations based on presence or absence in collections.

What is a key characteristic of sets that makes them different from lists?

• Sets can contain duplicate elements.

• Sets are indexable like lists.

• Sets maintain the order of elements.

• Sets are collections of unique objects.

Which operator is used to find the union of two sets?

• &

• |

• ^

• -

What does the intersection of two sets represent?

• All elements from both sets.

• Elements in the first set but not in the second.

• Elements unique to each set.

• Elements common to both sets.

How does the symmetric difference operation differ from the union?

• It includes elements from the first set only.

• It includes all elements from both sets.

• It includes only elements common to both sets.

• It excludes elements common to both sets.

What does the disjoint operation check for between two sets?

• If one set is a subset of the other.

• If both sets have no elements in common.

• If one set is a superset of the other.

• If both sets are identical.

Which operation would you use to check if all elements of one set are contained within another set?

• Symmetric Difference

• Subset

• Intersection

• Union

Why are sets more efficient than lists for checking membership?

• Sets are faster for membership tests.

• Sets are indexable like lists.

• Sets allow duplicate elements.

• Sets maintain the order of elements.