Deep Learning - Computer Vision for Beginners Using PyTorch - Tuples and Sets in Python

The video tutorial covers Python tuples and sets. It explains tuples as immutable collections similar to lists, demonstrating their creation, characteristics, and limitations, such as immutability and lack of methods like append. The tutorial also shows how tuples can hold different data types and how to convert between lists and tuples using constructors. The video then introduces Python sets, highlighting their unordered nature and use cases, such as checking element existence and adding new elements.

What is a key characteristic of Python tuples that differentiates them from lists?

• Tuples are mutable.

• Tuples can be modified after creation.

• Tuples are immutable.

• Tuples use square brackets.

How can you access the second element in a tuple named 'mygarage'?

• mygarage[2]

• mygarage[1]

• mygarage.get(1)

• mygarage.get(2)

Which method is used to convert a list to a tuple in Python?

• change()

• convert()

• tuple()

• list()

What is a defining feature of Python sets?

• They are ordered collections.

• They allow duplicate elements.

• They support indexing.

• They are unordered collections.

How can you check if an element exists in a Python set?

• Using the 'check' method

• Using the 'exists' keyword

• Using the 'in' keyword

• Using the 'find' method

What happens when you try to access an element by index in a Python set?

• The last element is returned.

• The element is returned.

• An error is raised.

• The first element is returned.

Which method is used to add an element to a Python set?

• extend()

• add()

• insert()

• append()