All Exams >
Humanities/Arts >
Computer Science for Class 11 >
All Questions
All questions of Lists for Humanities/Arts Exam
Which method can be used to create a distinct copy of a list in Python?- a) Simply assigning the list to a new variable.
- b) Using the `extend()` method.
- c) Using the `add()` method.
- d) Using the `copy()` function from the Python copy library.
Correct answer is option 'D'. Can you explain this answer?
Which method can be used to create a distinct copy of a list in Python?
a)
Simply assigning the list to a new variable.
b)
Using the `extend()` method.
c)
Using the `add()` method.
d)
Using the `copy()` function from the Python copy library.
|
|
Pj Commerce Academy answered |
To create a distinct copy of a list in Python, you can use the `copy()` method from the Python copy library. This method generates a new list object that is a shallow copy of the original list, meaning changes to the new list will not affect the original. Other methods include using slicing or the `list()` constructor. It's important to remember that a shallow copy only copies the elements of the list, but if the list contains mutable objects (like other lists), those objects are still shared between the original and the copy.
What is the primary purpose of the slicing technique in programming?- a) To sort elements in a list
- b) To extract specific portions of data from strings and lists
- c) To concatenate multiple strings together
- d) To delete elements from a list
Correct answer is option 'B'. Can you explain this answer?
What is the primary purpose of the slicing technique in programming?
a)
To sort elements in a list
b)
To extract specific portions of data from strings and lists
c)
To concatenate multiple strings together
d)
To delete elements from a list
|
Learning Educators answered |
Slicing is a fundamental technique used in programming to extract specific portions of strings and lists. It allows programmers to access a range of elements or characters by specifying a start and end index. This is particularly useful in data manipulation, where only certain parts of data are needed for processing or analysis. Interestingly, slicing can also be used to create new lists or strings without modifying the original data structure.
What is the purpose of the repetition operator (*) in Python when applied to a list?- a)To add two lists together
- b)To create multiple copies of the list’s elements
- c)To remove elements from the list
- d)To check if an element exists in a list
Correct answer is option 'B'. Can you explain this answer?
What is the purpose of the repetition operator (*) in Python when applied to a list?
a)
To add two lists together
b)
To create multiple copies of the list’s elements
c)
To remove elements from the list
d)
To check if an element exists in a list
|
|
Pj Commerce Academy answered |
The repetition operator (*) in Python is used to create multiple copies of the list's elements. When you multiply a list by an integer, it replicates the list that many times. For example, if you have a list like list1 = ['Hello'] and you apply list1 * 4, the output will be ['Hello', 'Hello', 'Hello', 'Hello']. This operator is particularly useful for initializing lists or when you want to create a list with repeated elements. Interestingly, this operator can only be used with integers and does not work with floats or other types.
What characteristic of lists in Python allows for changes to be made after their creation?- a)Lists are immutable
- b)Lists are mutable
- c)Lists are constant
- d)Lists are static
Correct answer is option 'B'. Can you explain this answer?
What characteristic of lists in Python allows for changes to be made after their creation?
a)
Lists are immutable
b)
Lists are mutable
c)
Lists are constant
d)
Lists are static
|
|
Pj Commerce Academy answered |
Lists in Python are mutable, meaning that their contents can be changed after they have been created. This allows programmers the flexibility to modify, add, or remove elements as needed. For instance, if you have a list list1 = ['Red', 'Green', 'Blue'] and you change list1[1] to 'Yellow', the list will now be ['Red', 'Yellow', 'Blue']. This mutability is a powerful feature of lists, enabling dynamic data manipulation in programming.
What is the primary purpose of a nested list in programming?- a) To create a linear sequence of elements
- b) To include one list as an element within another list
- c) To store elements of different data types
- d) To simplify the coding process by removing duplicates
Correct answer is option 'B'. Can you explain this answer?
What is the primary purpose of a nested list in programming?
a)
To create a linear sequence of elements
b)
To include one list as an element within another list
c)
To store elements of different data types
d)
To simplify the coding process by removing duplicates
|
EduRev Humanities answered |
A nested list is used primarily to include one list as an element within another list, enabling a more complex structure for data organization. This allows programmers to group related items together while maintaining a clear hierarchy. For example, a nested list can be used to represent a matrix or a collection of related data points, enhancing the ability to manage and access data efficiently. Interestingly, the concept of nested lists is prevalent in many programming languages, making it a foundational aspect of data structures.
What is the purpose of the built-in list() function in Python when copying a list?- a)To reverse a list
- b)To concatenate two lists
- c)To create a new list from an iterable
- d)To remove duplicates from a list
Correct answer is option 'C'. Can you explain this answer?
What is the purpose of the built-in list() function in Python when copying a list?
a)
To reverse a list
b)
To concatenate two lists
c)
To create a new list from an iterable
d)
To remove duplicates from a list
|
|
EduRev Humanities answered |
The built-in list() function is designed to create a new list from any iterable, including another list. For instance, using newList = list(oldList) will generate a new list that contains all the elements from oldList, effectively duplicating it. This method is particularly useful for converting other iterable types, like tuples or sets, into lists. A fun fact is that using list() can also be a handy way to make a shallow copy of a list, similar to slicing, while allowing for more versatility with different data types.
Which method can be used to create a copy of a list in Python by taking a slice of the entire list?- a)Slicing the list
- b)Using the copy() method
- c)Using a for loop
- d)Using the append() function
Correct answer is option 'A'. Can you explain this answer?
Which method can be used to create a copy of a list in Python by taking a slice of the entire list?
a)
Slicing the list
b)
Using the copy() method
c)
Using a for loop
d)
Using the append() function
|
|
Pj Commerce Academy answered |
The method of slicing a list involves creating a new list by taking a slice of the original list, which effectively copies all the elements. For example, using the syntax newList = oldList[:], you can copy oldList into newList. This method is simple and widely used because it is both concise and efficient. An interesting fact is that slicing does not create a reference to the original list, meaning that modifications to newList will not affect oldList.
What is the primary function of the `copy()` method from the `copy` library in Python?- a) To merge two lists
- b) To sort a list in ascending order
- c) To create a shallow copy of a list
- d) To create a reference to a list
Correct answer is option 'C'. Can you explain this answer?
What is the primary function of the `copy()` method from the `copy` library in Python?
a)
To merge two lists
b)
To sort a list in ascending order
c)
To create a shallow copy of a list
d)
To create a reference to a list
|
|
Learning Educators answered |
The `copy()` function from the `copy` library is used to create a shallow copy of a list. This means that a new list object is created containing references to the objects in the original list. Any modifications to the new list do not affect the original list, as they are separate objects in memory. This is particularly useful when you want to avoid altering the original data while working with a copy.
What does the method `list.sort()` do when applied to a list in Python?- a) It sorts the original list in ascending order.
- b) It creates a new sorted list from the original one.
- c) It reverses the order of the list elements.
- d) It removes all elements from the list.
Correct answer is option 'A'. Can you explain this answer?
What does the method `list.sort()` do when applied to a list in Python?
a)
It sorts the original list in ascending order.
b)
It creates a new sorted list from the original one.
c)
It reverses the order of the list elements.
d)
It removes all elements from the list.
|
|
Learning Educators answered |
The `list.sort()` method sorts the elements of the list in place, meaning that it modifies the original list rather than creating a new one. For instance, if you have `my_list = [3, 1, 2]` and you call `my_list.sort()`, the list will be rearranged to `[1, 2, 3]`. This method is efficient for sorting large lists and uses the Timsort algorithm, which is both fast and stable.
What will occur if you attempt to concatenate a list and a string in Python?- a)A new list will be created with both elements.
- b)A TypeError will be raised.
- c)The string will be converted into a list.
- d)The list and string will merge successfully.
Correct answer is option 'B'. Can you explain this answer?
What will occur if you attempt to concatenate a list and a string in Python?
a)
A new list will be created with both elements.
b)
A TypeError will be raised.
c)
The string will be converted into a list.
d)
The list and string will merge successfully.
|
|
Pj Commerce Academy answered |
If you try to concatenate a list with a string in Python, it will raise a TypeError. This is because the concatenation operator (+) is specifically designed to work with lists, and using it with incompatible data types, like a list and a string, results in an error. For instance, attempting list1 + str1 where list1 is a list and str1 is a string will trigger this error. Understanding type compatibility is crucial for effective programming in Python.
What is the primary function of the user-defined function described in the programming exercise?- a) To sort a list of numbers
- b) To calculate the average of numbers in the list
- c) To find the maximum number in the list
- d) To check if a number is present in the list and return its position
Correct answer is option 'D'. Can you explain this answer?
What is the primary function of the user-defined function described in the programming exercise?
a)
To sort a list of numbers
b)
To calculate the average of numbers in the list
c)
To find the maximum number in the list
d)
To check if a number is present in the list and return its position
|
|
Learning Educators answered |
The user-defined function is designed to check if a specific number exists within a given list and, if found, return its position. This involves iterating through the list and comparing each element to the specified number. If the number is not present, the function should print a message indicating its absence. This type of function is essential in programming as it helps in searching and validating data within lists, which is a common task in many applications.
How can elements in a list be accessed in Python?- a)By calling their function names
- b)By using their hexadecimal values
- c)By random selection
- d)By indexing, similar to how characters are accessed in a string
Correct answer is option 'D'. Can you explain this answer?
How can elements in a list be accessed in Python?
a)
By calling their function names
b)
By using their hexadecimal values
c)
By random selection
d)
By indexing, similar to how characters are accessed in a string
|
|
Learning Educators answered |
In Python, elements in a list can be accessed using their index positions, much like how characters in a string are accessed. Each element in a list has a specific index starting from 0 for the first element. For example, in a list list1 = ['Red', 'Green', 'Blue'], list1[0] would return 'Red'. This method of indexing is fundamental to handling data structures in Python and is widely used in various programming scenarios.
Which of the following methods can be used to traverse a list in Python?- a) Only using a while loop
- b) Using recursion only
- c) Using both for and while loops
- d) Only using a for loop
Correct answer is option 'C'. Can you explain this answer?
Which of the following methods can be used to traverse a list in Python?
a)
Only using a while loop
b)
Using recursion only
c)
Using both for and while loops
d)
Only using a for loop
|
|
Learning Educators answered |
In Python, both for loops and while loops can be utilized to traverse a list. The for loop is often preferred for its simplicity and readability, allowing direct access to each element. Conversely, a while loop can be used when the traversal condition is more complex or dynamic. This flexibility in list traversal methods enables programmers to choose the most efficient approach based on the specific use case. An interesting fact is that understanding different traversal methods can enhance efficiency in larger datasets or more complex data structures.
How would you access the second element of a nested list that is the fifth element of a main list?- a) list1[5][1]
- b) list1[4][1]
- c) list1[3][1]
- d) list1[4][2]
Correct answer is option 'B'. Can you explain this answer?
How would you access the second element of a nested list that is the fifth element of a main list?
a)
list1[5][1]
b)
list1[4][1]
c)
list1[3][1]
d)
list1[4][2]
|
|
EduRev Humanities answered |
To access the second element of a nested list that is the fifth element of a main list, you would use the notation list1[4][1]. Here, list1[4] retrieves the fifth element from the main list (which is the nested list), and [1] then accesses the second element of that nested list. This method of accessing data illustrates how indices are used in programming to navigate through complex data structures. A fun fact is that this indexing method is zero-based in many programming languages, meaning counting starts from zero rather than one, which can sometimes be a source of confusion for beginners.
How do the membership operators 'in' and 'not in' function in Python?- a)They modify the list based on the element's presence
- b)They execute a function if the element is present
- c)They compare two lists for equality
- d)They return True if an element is present or not present
Correct answer is option 'D'. Can you explain this answer?
How do the membership operators 'in' and 'not in' function in Python?
a)
They modify the list based on the element's presence
b)
They execute a function if the element is present
c)
They compare two lists for equality
d)
They return True if an element is present or not present
|
|
Learning Educators answered |
The membership operators 'in' and 'not in' in Python are used to check for the presence of an element within a list. The 'in' operator returns True if the specified element is found in the list, while the 'not in' operator returns True if the element is not present. For example, if you have a list my_list = [1, 2, 3] and you check 2 in my_list, it will return True, whereas 4 not in my_list will also return True. This functionality is essential for conditionally executing code based on whether certain elements are included in a data structure. Additionally, this capability is foundational for many algorithms that require searching or filtering through data.
Which operator is used in Python to concatenate two or more lists?- a)&
- b)+
- c)|
- d)*
Correct answer is option 'B'. Can you explain this answer?
Which operator is used in Python to concatenate two or more lists?
a)
&
b)
+
c)
|
d)
*
|
|
Pj Commerce Academy answered |
In Python, the concatenation operator is the plus sign (+). This operator allows you to join two or more lists into a single list. For example, if you have list1 = [1, 3, 5] and list2 = [2, 4, 6], using list1 + list2 will produce [1, 3, 5, 2, 4, 6]. It's essential to note that concatenation creates a new list and does not modify the original lists.
Which built-in function in Python would you use to find the number of occurrences of a specific element in a list?- a) list.append()
- b) list.count()
- c) list.remove()
- d) list.index()
Correct answer is option 'B'. Can you explain this answer?
Which built-in function in Python would you use to find the number of occurrences of a specific element in a list?
a)
list.append()
b)
list.count()
c)
list.remove()
d)
list.index()
|
|
Learning Educators answered |
The function `list.count()` is used to determine how many times a specific element appears in a list. For example, if you have a list `my_list = [1, 2, 2, 3]` and you call `my_list.count(2)`, it will return `2` because the element `2` appears twice. This function is handy for frequency analysis in datasets.
How do you access the first element of a list in Python?- a)By using index 0
- b)By using index 1
- c)By using the length of the list
- d)By using index -1
Correct answer is option 'A'. Can you explain this answer?
How do you access the first element of a list in Python?
a)
By using index 0
b)
By using index 1
c)
By using the length of the list
d)
By using index -1
|
|
EduRev Humanities answered |
To access the first element of a list in Python, you use index 0, as Python employs zero-based indexing. This means that the first element is designated by index 0, the second by index 1, and so forth. For example, in the list my_list = [1, 2, 3, 4, 5], the first element can be accessed using my_list[0], which returns 1. This indexing method is fundamental in programming and is used in various programming languages, not just Python.
What happens when you assign one list to another in Python without copying it?- a) The two lists become completely independent of each other.
- b) Both lists refer to the same object in memory.
- c) The original list is deleted.
- d) A new list is created automatically.
Correct answer is option 'B'. Can you explain this answer?
What happens when you assign one list to another in Python without copying it?
a)
The two lists become completely independent of each other.
b)
Both lists refer to the same object in memory.
c)
The original list is deleted.
d)
A new list is created automatically.
|
|
EduRev Humanities answered |
When you assign one list to another in Python using a simple assignment (e.g., `list2 = list1`), both `list1` and `list2` point to the same object in memory. This means that any changes made to one list will be reflected in the other, as they are essentially two names for the same list. This behavior can lead to unintended consequences if you're not aware of it. An interesting fact is that to create a true copy of a list, you can use methods like slicing (`list2 = list1[:]`), the `list()` function, or the `copy()` method from the `copy` module.
What is a defining feature of lists in Python that distinguishes them from strings?- a) Lists cannot contain duplicate elements.
- b) Lists are immutable.
- c) Lists can store elements of different data types.
- d) Lists are always ordered collections.
Correct answer is option 'C'. Can you explain this answer?
What is a defining feature of lists in Python that distinguishes them from strings?
a)
Lists cannot contain duplicate elements.
b)
Lists are immutable.
c)
Lists can store elements of different data types.
d)
Lists are always ordered collections.
|
|
Pj Commerce Academy answered |
The defining feature of lists in Python is their ability to store elements of different data types, making them versatile for various applications. Unlike strings, which consist exclusively of characters, lists can include integers, floats, strings, tuples, or even other lists. This flexibility allows programmers to group related but diverse data together efficiently. Interestingly, lists can also contain duplicate elements, which is another distinction from certain data types that enforce uniqueness, like sets.
Chapter doubts & questions for Lists - Computer Science for Class 11 2025 is part of Humanities/Arts exam preparation. The chapters have been prepared according to the Humanities/Arts exam syllabus. The Chapter doubts & questions, notes, tests & MCQs are made for Humanities/Arts 2025 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests here.
Chapter doubts & questions of Lists - Computer Science for Class 11 in English & Hindi are available as part of Humanities/Arts exam.
Download more important topics, notes, lectures and mock test series for Humanities/Arts Exam by signing up for free.
Computer Science for Class 11
33 docs|11 tests
|
|
© EduRev
|
Education Revolution
|
|
Signup to see your scores
go up
within 7 days!
within 7 days!
Takes less than 10 seconds to signup