Basic Python Data Structures Quiz

What is the difference between a list and a tuple in Python?

• A list can only store integers, while a tuple can store any data type

• A list can be changed, while a tuple cannot be changed.

• A list is immutable, while a tuple is mutable

• A list and a tuple are the same thing

What is the purpose of using sets in Python? Provide an example.

• Sets are used to store duplicate elements and perform mathematical operations.

• Sets are used to store elements in a specific order and perform sorting operations.

• Sets are used to store unique elements and perform set operations.

• Sets are used to store elements in a sequential manner and perform string operations.

How can you access the last element of a list in Python?

• list.get(-1)

• list[-1]

• list.last()

• list[last]

Explain the concept of stack and queue in Python with suitable examples.

• A stack in Python can be implemented using a list, for example: stack = [] stack.append(1) stack.append(2) stack.pop() # returns 2. A queue in Python can be implemented using the collections.deque class, for example: from collections import deque queue = deque() queue.append(1) queue.append(2) queue.popleft() # returns 1.

• A stack in Python can be implemented using the collections.deque class

• A queue in Python can be implemented using a set

• A stack in Python can be implemented using a dictionary

What is the use of the 'in' and 'not in' operators in Python? Provide an example.

• The 'in' operator is used to check if a value is present in a sequence, and the 'not in' operator is used to check if a value is not present in a sequence.

• The 'in' operator is used to perform addition, and the 'not in' operator is used to perform subtraction.

• The 'in' operator is used to concatenate strings, and the 'not in' operator is used to split strings.

• The 'in' operator is used to check if a value is greater than another value, and the 'not in' operator is used to check if a value is less than another value.

Discuss the concept of nested lists in Python with an example.

• Nested lists in Python are used for defining functions

• Nested lists in Python are used for creating dictionaries

• Nested lists in Python allow for creating a list of lists, for example: nested_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

• Nested lists in Python are used for mathematical calculations

Explain the concept of slicing in Python with respect to lists and strings.

• Slicing in Python means combining two lists or strings into one

• Slicing in Python refers to dividing a list or string into equal parts

• Slicing in Python allows you to extract a portion of a list or string by specifying a start and end index, and an optional step size.

• Slicing in Python involves removing elements from a list or string

What are the different methods available for adding elements to a list in Python?

• add()

• There are several methods available for adding elements to a list in Python, including append(), extend(), insert(), and list concatenation.

• pop()

• remove()

Discuss the concept of list comprehension in Python with an example.

• List comprehension is a way to create dictionaries in Python

• List comprehension is used to create tuples in Python

• List comprehension is a method to create classes in Python

• List comprehension in Python is a concise way to create lists. For example: squares = [x**2 for x in range(10)]