Practical Data Science using Python - Python Lists

The video tutorial introduces collection objects in Python, focusing on lists. It explains the properties of lists, including their ability to hold multiple data types and their mutability. The tutorial covers list indexing, slicing, and striding, and demonstrates how to add and remove elements using various methods like append, extend, pop, and remove. The differences between lists and other collection objects like tuples, dictionaries, and sets are also discussed.

What is the primary purpose of collection objects in Python?

• To execute functions

• To hold a single value

• To hold multiple values

• To perform arithmetic operations

Which of the following is a characteristic of Python lists?

• They cannot be modified

• They can hold different data types

• They can hold only integers

• They are immutable

How can you access the last element of a list using negative indexing?

• Using index 1

• Using index -2

• Using index 0

• Using index -1

What does slicing a list allow you to do?

• Reverse the list

• Sort the list

• Access multiple contiguous elements

• Access a single element

What is the purpose of striding in list slicing?

• To sort the list

• To reverse the list

• To skip elements at regular intervals

• To access every element

Which function is used to add a single element to the end of a list?

• append()

• extend()

• add()

• insert()

How can you add multiple elements to the end of a list without using a loop?

• Using append()

• Using extend()

• Using insert()

• Using add()

What does the pop() function do when no index is specified?

• Removes the first element

• Removes all elements

• Removes the last element

• Removes a random element

Which method requires the value to be removed from a list?

• clear()

• pop()

• remove()

• del

What does the del keyword do when used with a list?

• Deletes the entire list

• Removes a specified index range

• Removes the last element

• Removes the first element