Deep Learning - Computer Vision for Beginners Using PyTorch - Data Structures in Python

This video tutorial introduces Python's built-in data structures, focusing on lists. It covers list creation, accessing elements, modifying lists, and advanced features like handling different data types. The tutorial also explains list slicing, indexing, and the use of negative indices, providing practical examples to illustrate these concepts.

What is the primary characteristic of a Python list?

• It is an ordered collection of items.

• It is a collection of key-value pairs.

• It is a collection of unique items.

• It is an unordered collection of items.

How can you change an element in a Python list?

• By using the update method.

• By directly assigning a new value to the index.

• By using the modify method.

• By using the replace method.

Which method is used to add an element to the end of a list?

• append()

• insert()

• add()

• extend()

What keyword is used to remove an element from a list by its index?

• delete

• pop

• remove

• del

Can a Python list contain elements of different data types?

• Only if they are strings.

• Only if they are numbers.

• Yes, it can contain elements of different data types.

• No, all elements must be of the same type.

What does the slicing operation list[2:5] return?

• Elements from index 2 to 5, exclusive.

• Elements from index 3 to 5.

• Elements from index 2 to 4.

• Elements from index 2 to 5, inclusive.

What does the len() function return when applied to a list?

• The number of elements in the list.

• The length of the longest string in the list.

• The number of unique elements in the list.

• The sum of all numerical elements in the list.