Tuples and Dictionary

Both A and R are true but R is not the correct explanation of A.

Explanation
Tuples in Python are ordered, meaning elements are arranged in a specific sequence, and this order cannot be changed. Tuples are immutable, so once a tuple is created, we cannot add, change, or update its elements. Duplicate values can be included in a tuple. Additionally, a tuple can hold values of different data types, making it heterogeneous in nature.

Both A and R are true and R is the correct explanation of A.

Explanation
The statement t1 = tuple('python') creates a tuple t1 from the string 'python', resulting in t1 being ('p', 'y', 't', 'h', 'o', 'n'). The statement t1[4] = 'z' attempts to modify the element at index 4 of the tuple, which is not allowed because tuples are immutable in Python. Hence, it raises an error.

A is true but R is false.

Explanation
In Python, tuples are immutable or unmodifiable, so once a tuple is created, we cannot add, change, or update its elements.

Both A and R are true but R is not the correct explanation of A.

Explanation
The output of print(D1 == D2) is True. In Python, dictionaries are considered equal if they have the same keys and corresponding values, regardless of the order of the key-value pairs. Since D1 and D2 have the same keys with the same values, the comparison returns True. Dictionary is a collection of key-value pairs. It is not a sequence.

Both A and R are true but R is not the correct explanation of A.

Explanation
Dictionaries in Python are enclosed within curly braces {}, where each key is separated from its corresponding value by a colon (:), and different key-value pairs are separated by commas.

Both A and R are true and R is the correct explanation of A.

Explanation
The pop() method is used to delete elements from a dictionary. This method not only deletes the item specified by the key from the dictionary but also returns the deleted value.

A is true but R is false.

Explanation
The keys of dictionaries in Python must be unique and immutable. Values in a dictionary can be accessed using their corresponding keys.

A is true but R is false.

Explanation
The clear() method removes all items from the particular dictionary and returns an empty dictionary. The len() method returns the length of key-value pairs in the given dictionary.

All of these

Reason — Python dictionaries are unordered collections of items where each item is a mapping of unique keys to values and dictionaries are mutable.

tup[2] = 56

Reason — Tuples in Python are immutable. Therefore, attempting to assign a new value to an existing element, such as tup[2] = 56, will result in an error.

False

Reason — In tuple, the comparison operator starts by comparing the first element from each sequence. If they are equal, it goes on to the next element, and so on, until it finds elements that differ. Since tup1 is (1, 2, 4, 3) and tup2 is (1, 2, 3, 4), the third element of tup1 (which is 4) is greater than the third element of tup2 (which is 3). Hence, tup1 is not less than tup2, so the comparison evaluates to False.

len()

Reason — The len() function returns the number of elements in the tuple.

d1 = {}

Reason — The statement to create an empty dictionary in Python is d1 = {}.

Key

Reason — In a dictionary, elements are accessed using keys, which uniquely identifies each element's associated value.

Unique

Reason — Keys of a dictionary must be unique and immutable.

dict()

Reason — The function dict() is used to create a new dictionary with no items.

get()

Reason — The get() method returns a value for the given key. If key is not available, then returns the default value None.

clear()

Reason — The clear() function is used to remove all items from the particular dictionary and returns an empty dictionary.

T = (4, )

Reason — In Python, to create a tuple with a single element, we need to include a trailing comma after the element. This tells Python that we are defining a tuple rather than just using parentheses for grouping. Thus, T = (4, ) creates a tuple with one element.

items()

Reason — The items() function returns the content of dictionary as a list of tuples having key-value pairs.

del D1["Red"]

Reason — The syntax to delete a key-value pair from a dictionary in Python is : del dictionary_name[key]. Therefore, according to this syntax, del D1["Red"] is correct statement.

False

Reason — In Python, dictionary keys are case-sensitive. The dictionary D1 has the key "Virat" with an uppercase 'V', but the check is for "virat" with a lowercase 'v'. Since "virat" does not match the case of the key "Virat", the expression "virat" in D1 evaluates to False.

t1 = ("a", "b")

Reason — The statement t1 = ("a", "b") creates a tuple with two elements: "a" and "b".

The advantages of tuples over lists are as follows:

1. Tuples use less memory whereas lists use more memory.

2. We can use tuples in dictionary as a key but it is not possible with lists.

Similarities:

1. Both tuples and lists maintain the order of elements.

2. Both support indexing and slicing to access and manipulate subsets of their elements.

3. Both can store elements of different data types, including numbers, strings, and other objects.

4. Both tuples and lists can be iterated over using loops.

Differences:

1. Tuples are immutable, while lists are mutable.

2. Tuples are enclosed in parentheses (), while lists are enclosed in square brackets [].

3. Tuples use less memory whereas lists use more memory.

4. We can use tuples in dictionary as a key but it is not possible with lists.

5. We cannot sort a tuple but in a list we can sort by calling "list.sort()" method.

6. We cannot remove an element in a tuple but in list we can remove an element.

7. We cannot replace an element in a tuple but we can replace in a list.

A key-value pair in a dictionary is an association of a key and its corresponding value.

False, we can have different type of values in a tuple. A tuple can hold values of different data types, i.e., a tuple is heterogeneous in nature.

For example: T1 = (1, 'apple', [2, 3]).

A nested tuple is a tuple that contains other tuples as its elements. When we add one or more tuples inside another tuple, the items in the nested tuples are combined together to form a new tuple.

For example,

tuple1 = (0, 1, 2, 3)
tuple2 = ('python', 'book')
tuple3 = (tuple1, tuple2)
print(tuple3)

((0, 1, 2, 3), ('python', 'book'))

t = tuple((42, "Hello, World!", 3.14, True, [1, 2, 3]))
print(t)

(42, 'Hello, World!', 3.14, True, [1, 2, 3])

The difference between "book" and ('book',) is that "book" is a string, representing a sequence of characters, while ('book',) is a tuple with a single element.

T1 = ('a', 1, 2, 3, 4, 'b', 'c', 'book', 10)
first_three = T1[:3]
last_three = T1[-3:]
result = first_three + last_three
print(result)

('a', 1, 2, 'c', 'book', 10)

The given code is syntactically correct and doesn't contain any errors.

In Python, we assign the key-value pair using square brackets [], not parentheses ().

The corrected code is:

d1[9] = 90

In Python, to delete an element from a dictionary, we should use square brackets [], not parentheses ().

The corrected code is:

del d1[2]

Th syntax of pop() method is dictname.pop(key).

The corrected code is:

d1.pop(4)

The correct method to retrieve all key-value pairs from a dictionary is items(), not item().

The corrected code is:

d1.items()

The correct method to retrieve all keys from a dictionary is keys(), not key().

The corrected code is:

d1.keys()

The correct method to retrieve all values from a dictionary is values(), not value().

The corrected code is:

d1.values()

The correct method to retrieve a value for a given key is get(), not gets().

The corrected code is:

d1.get(4, 80)

The syntax of len() function is len(dict).

The corrected code is:

len(d1)

The correct method to clear all elements from a dictionary is clear(), not clears().

The corrected code is:

d1.clear()

dict_items([(1, 'one'), (2, 'two'), (3, 'three'), (4, 'four')])
dict_keys([1, 2, 3, 4])
dict_values(['one', 'two', 'three', 'four'])
6

1. d1.items() — Returns a list of tuples containing the key-value pairs in d1.
2. d1.keys() — Returns a list of all the keys in d1.
3. d1.values() — Returns a list of all the values in d1.
4. d1.update(d2) — Updates d1 with key-value pairs from d2. After this operation, d1 contains {1: 'one', 2: 'two', 3: 'three', 4: 'four', 5: 'five', 6: 'six'}.
5. len(d1) — Returns the number of key-value pairs in d1, which is 6 after updating.

{1: 'one', 2: 'two', 4: 'four'}
'four'
{1: 'one', 2: 'two'}
{1: 'one', 2: 'two', 8: ' eight'}
{}

1. del d1[3]: Removes the key 3 and its corresponding value 'three' from d1. After deletion, d1 contains {1: 'one', 2: 'two', 4: 'four'}.
2. d1.pop(4): Removes the key 4 and its corresponding value 'four' from d1. After popping, d1 is {1: 'one', 2: 'two'}.
3. d1[8] = 'eight': Adds a new key-value pair 8: 'eight' to d1. Now d1 becomes {1: 'one', 2: 'two', 8: 'eight'}.
4. d1.clear(): Clears all key-value pairs from d1, resulting in an empty dictionary {}.

The code will result in an Error because the multiplication operation between a tuple and another tuple is not valid in Python.

The code will result in an Error because the variable d is not defined before it is used in the expression tup1 + d.

The code will result in an Error because the multiplication operator * is being used incorrectly between a tuple and a string. The multiplication operator * in Python is used to repeat the elements of a tuple a certain number of times, but the number of repetitions must be an integer, not a string.

The code will result in an Error because the number of variables on the left side of the assignment (X, Y, Z) does not match the number of elements in the tuple t1.

The max() function should be used within parentheses in the print statement. Additionally, for the max() function to work, all elements in the tuple must be of the same type; otherwise, Python cannot compare them, leading to an Error.

The code will result in an Error because tuples in Python are immutable. The line t[1] = 'o' attempts to modify the second element of the tuple, which is not allowed because tuples do not support item assignment.

The code raises an error because T1 is not recognized as a tuple but as a string due to the missing comma. A single-element tuple needs a trailing comma, like T1 = ('A',). Therefore, T1 is a string, and concatenating a string with a tuple using T1 + T2 is not allowed, causing the error.

The code will result in an Error because the number of variables on the left side of the assignment does not match the number of values on the right side.

(a) len(t1) — 9

(b) 20 not in t1 — True

(c) t1 [-8:-4] — (200, 'Global', 3, 3.5)

(d) t1 [5:] — ('Exam', [1, 2], (30, 40), (3, 5, 3))

(e) t1.index (5) — It raises an error.

(f) t1.index (3, 6) — It raises an error.

(g) 10 in t1 — False

(h) t1.count (3) — 1

(i) any (t1) — True

(j) t1[2]*2 — GlobalGlobal

Explanation

(a) The len() function returns the number of elements in the tuple. Hence, len(t1) returns 9.

(b) The not in operator checks if an element is not present in the tuple. Hence, 20 not in t1 returns True because 20 is not an element of the tuple t1.

(c) It uses negative indexing to select elements from the 8th position from the end to the 4th position from the end.

(d) This slices the tuple starting from the index 5 to the end.

(e) The index() method returns the first index of the specified element. Hence, t1.index(5) raises an Error because 5 is not an element of the tuple.

(f) It raises an error because there is no occurrence of the element 3 after index 6.

(g) The in operator checks if a specified value is present in the tuple. For 10 in t1, it returns False because 10 is not an element of the tuple t1.

(h) The count() method returns the number of occurrences of 3 in the tuple. Hence, t1.count(3) returns 2 because 3 appears twice in the tuple.

(i) The any() function in Python is a built-in function that returns True if at least one element in a given iterable (such as a list, tuple, or set) is True. If all elements are False, it returns False. Hence, any(t1) returns True because the elements in the tuple are True.

(j) The statement t1[2] is accessing the third element of the tuple t1, which is the string "Global". The statement t1[2]*2 is attempting to multiply the accessed element by 2. However, since the element is a string, it will repeat the string "Global" twice, resulting in "GlobalGlobal".

(a)

(10, 20, 40) 

(b)

('Tea', 'Tea', 'Tea', 'Tea', 'Tea')

(c)

('I', 't', 'e', 'm')

(a)

(10, 20, 30, 40)
(100, 200, 300)

In the code t1, t2 = t2, t1, Python performs tuple unpacking and assignment simultaneously. This means that t1 is assigned the value of t2, and t2 is assigned the value of t1. As a result, t1 becomes (10, 20, 30, 40) and t2 becomes (100, 200, 300).

(b)

True

The code print(t1 != t2) compares the tuples t1 and t2 to check if they are not equal. Since t1 is (100, 200, 300) and t2 is (10, 20, 30, 40), they have different lengths and different elements. Therefore, it evaluates to True.

(c)

False

The code print(t1 < t2) compares the tuples t1 and t2 element by element. Since t1 = (100, 200, 300) and t2 = (10, 20, 30, 40), the comparison starts with the first elements, where 100 < 10 is False. Therefore, the tuple t1 is not less than t2, and the code prints False.

True

Reason — In a dictionary, an element is a combination of key-value pairs.

False

Reason — The elements in a dictionary are indexed by keys and not values.

False

Reason — Keys are unique and immutable in a dictionary.

True

Reason — In a dictionary, while each key must be unique, multiple keys can have the same value.

True

Reason — A tuple can be used as a key in a dictionary if all the elements within the tuple are immutable. This is because dictionary keys must be unique and immutable.

False

Reason — The clear() method is used to remove all items from the particular dictionary and returns an empty dictionary.

False

Reason — A tuple is an immutable data type. Once a tuple is created, we cannot add, change or update its elements.

False

Reason — Lists cannot be used as keys in a dictionary because they are mutable. Dictionary keys must be immutable.

True

Reason — Updating an element in a dictionary at runtime is possible because dictionaries are mutable data structures.

False

Reason — We cannot create immutable dictionaries in Python because dictionaries are mutable.

True

Reason — A tuple can store elements of different data types, i.e., a tuple is heterogeneous in nature.

False

Reason — A tuple can store a list as an element. While the tuple is immutable, it can contain mutable elements like lists.

False

Reason — Creating individual values from a tuple's elements is called unpacking.

False

Reason — We can delete a dictionary in Python using the del statement.