1. What will be the output of the following Python code?
def f(i, values = []):
values.append(i)
return values
f(1)
f(2)
v = f(3)
print(v)
a) [1] [2] [3]
b) [1] [1, 2] [1, 2, 3]
c) [1, 2, 3]
d) 1 2 3
Explanation: Execute in the shell to verify
2. What will be the output of the following Python code?
names1 = ['Amir', 'Bala', 'Chales']
if 'amir' in names1:
print(1)
else:
print(2)
a) none
b) 1
c) 2
d) error
Explanation: Execute in the shell to verify.
3. What will be the output of the following Python code?
names1 = ['Amir', 'Bala', 'Charlie']
names2 = [name.lower() for name in names1]
print(names2[2][0])
a) none
b) a
c) b
d) c
Explanation: List Comprehension are a shorthand for creating new lists.
4. What will be the output of the following Python code?
numbers = [1, 2, 3, 4]
numbers.append([5,6,7,8])
print(len(numbers))
a) 4
b) 5
c) 8
d) 12
Explanation: A list is passed in append so the length is 5.
5. To which of the following the “in” operator can be used to check if an item is in it?
a) Lists
b) Dictionary
c) Set
d) All of the mentioned
Explanation: In can be used in all data structures.
6. What will be the output of the following Python code?
list1 = [1, 2, 3, 4]
list2 = [5, 6, 7, 8]
print(len(list1 + list2))
a) 2
b) 4
c) 5
d) 8
Explanation: + appends all the elements individually into a new list.
7. What will be the output of the following Python code?
def addItem(listParam):
listParam += [1]
mylist = [1, 2, 3, 4]
addItem(mylist)
print(len(mylist))
a) 1
b) 4
c) 5
d) 8
Explanation: + will append the element to the list.
8. What will be the output of the following Python code?
def increment_items(L, increment):
i = 0
while i < len(L):
L[i] = L[i] + increment
i = i + 1
values = [1, 2, 3]
print(increment_items(values, 2))
print(values)?
a) None
[3, 4, 5]
b) None
[1, 2, 3]
c) [3, 4, 5]
[1, 2, 3]
d) [3, 4, 5]
None
Explanation: Execute in the shell to verify.
9. What will be the output of the following Python code?
def example(L):
''' (list) -> list
'''
i = 0
result = []
while i < len(L):
result.append(L[i])
i = i + 3
return result
a) Return a list containing every third item from L starting at index 0
b) Return an empty list
c) Return a list containing every third index from L starting at index 0
d) Return a list containing the items from L starting from index 0, omitting every third item
Explanation: Run the code to get a better understanding with many arguments.
10. What will be the output of the following Python code?
veggies = ['carrot', 'broccoli', 'potato', 'asparagus']
veggies.insert(veggies.index('broccoli'), 'celery')
print(veggies)
a) [‘carrot’, ‘celery’, ‘broccoli’, ‘potato’, ‘asparagus’] Correct 1.00
b) [‘carrot’, ‘celery’, ‘potato’, ‘asparagus’]
c) [‘carrot’, ‘broccoli’, ‘celery’, ‘potato’, ‘asparagus’]
d) [‘celery’, ‘carrot’, ‘broccoli’, ‘potato’, ‘asparagus’]
Explanation: Execute in the shell to verify.