Practical Data Science using Python - Python Lists

Practical Data Science using Python - Python Lists

Assessment

Interactive Video

•

Information Technology (IT), Architecture

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

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.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does slicing a list allow you to do?

Reverse the list

Sort the list

Access multiple contiguous elements

Access a single element

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

append()

extend()

add()

insert()

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Using append()

Using extend()

Using insert()

Using add()

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