Question 1

Question 1Assertion. Lists and Tuples are similar sequence types of Python, yet they are two different data types.Reason. List sequences are mutable and Tuple sequences are immutable.

Accepted Answer

(a)Both Assertion and Reason are true and Reason is the correct explanation of Assertion.ExplanationLists and tuples are similar sequence types in python, but they are distinct data types. Both are used to store collections of items, but they have different properties and use cases. Lists are mutable, meaning you can add, remove, or modify elements after the list is created. Tuples, on the other hand, are immutable, meaning once a tuple is created, its contents cannot be changed.

Question 2

Question 2Assertion. Modifying a string creates another string internally but modifying a list does not create a new list.Reason. Strings store characters while lists can store any type of data.

Accepted Answer

(b)Both Assertion and Reason are true but Reason is not the correct explanation of Assertion.ExplanationIn Python, strings are immutable, meaning once they are created, their contents cannot be changed. Whenever we modify a string, python creates a new string object to hold the modified contents, leaving the original string unchanged. On the other hand, lists in python are mutable, meaning we can modify their contents after they have been created. When we modify a list, python does not create a new list object. Instead, it modifies the existing list object in place. Strings are sequences of characters, and each character in a string can be accessed by its index. Lists, on the other hand, can store any type of data, including integers, floats, strings.

Question 3

Question 3Assertion. Modifying a string creates another string internally but modifying a list does not create a new list.Reason. Strings are immutable types while lists are mutable types of python.

Accepted Answer

(a)Both Assertion and Reason are true and Reason is the correct explanation of Assertion.ExplanationIn Python, strings are immutable, meaning once they are created, their contents cannot be changed. Whenever we modify a string, python creates a new string object to hold the modified contents, leaving the original string unchanged. On the other hand, lists in python are mutable, meaning we can modify their contents after they have been created. When we modify a list, python does not create a new list object. Instead, it modifies the existing list object in place.

Question 4

Question 4Assertion. Dictionaries are mutable, hence its keys can be easily changed.Reason. Mutability means a value can be changed in place without having to create new storage for the changed value.

Accepted Answer

(d)Assertion is false but Reason is true.ExplanationDictionaries are indexed by keys and each key must be immutable and unique. However, the dictionary itself is mutable, meaning that we can add, remove, or modify key-value pairs within the dictionary without changing the identity of the dictionary object itself. Mutability refers to the ability to change a value in place without creating a new storage location for the changed value.

Question 5

Question 5Assertion. Dictionaries are mutable but their keys are immutable.Reason. The values of a dictionary can change but keys of dictionary cannot be changed because through them data is hashed.

Accepted Answer

(a)Both Assertion and Reason are true and Reason is the correct explanation of Assertion.ExplanationA dictionary is a unordered set of key : value pairs and are indexed by keys. The values of a dictionary can change but keys of dictionary cannot be changed because through them data is hashed. Hence dictionaries are mutable but keys are immutable and unique.

Question 6

Question 6Assertion. In Insertion Sort, a part of the array is always sorted.Reason. In Insertion sort, each successive element is picked and inserted at an appropriate position in the sorted part of the array.

Accepted Answer

(a)Both Assertion and Reason are true and Reason is the correct explanation of Assertion.ExplanationInsertion sort is a sorting algorithm that builds a sorted list, one element at a time from the unsorted list by inserting the element at its correct position in sorted list. In Insertion sort, each successive element is picked and inserted at an appropriate position in the previously sorted array.

Question 7

Question 1Strings in Python store their individual letters in Memory in contiguous location.

Accepted Answer