Exercise: Questions on Functions


Questions on Functions : Question 1 :
What will be the output of the following code :
print type(type(int))

type 'int'
type 'type'
Error
0
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Questions on Functions : Question 2 :
What is the output of the following code :
L = ['a','b','c','d']
print "".join(L)

Error
None
abcd
[‘a’,’b’,’c’,’d’]
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Questions on Functions : Question 3 :
What is the output of the following segment :
chr(ord('A'))

A
B
a
Error
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Questions on Functions : Question 4 :
What is the output of the following program :
y = 8
z = lambda x : x * y
print z(6)

48
14
64
None of the above
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Questions on Functions : Question 5 :
What is called when a function is defined inside a class?

Module
Class
Another Function
Method
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Questions on Functions : Question 6 :
Which of the following is the use of id() function in python?

Id returns the identity of the object
Every object doesn’t have a unique id
All of the mentioned
None of the mentioned
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Questions on Functions : Question 7 :
What is the output of the following program :
import re
sentence = 'horses are fast'
regex = re.compile('(?P<animal>\w+) (?P<verb>\w+) (?P<adjective>\w+)')
matched = re.search(regex, sentence)
print(matched.groupdict())

{‘animal’: ‘horses’, ‘verb’: ‘are’, ‘adjective’: ‘fast’}
(‘horses’, ‘are’, ‘fast’)
‘horses are fast’
‘are’
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Questions on Functions : Question 8 :
Suppose list1 is [3, 4, 5, 20, 5, 25, 1, 3], what is list1 after list1.pop(1)?

[3, 4, 5, 20, 5, 25, 1, 3]
[1, 3, 3, 4, 5, 5, 20, 25]
[3, 5, 20, 5, 25, 1, 3]
[1, 3, 4, 5, 20, 5, 25]
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Questions on Functions : Question 9 :
time.time() returns ________

the current time
the current time in milliseconds
the current time in milliseconds since midnight
the current time in milliseconds since midnight, January 1, 1970
the current time in milliseconds since midnight, January 1, 1970 GMT (the Unix time)
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Questions on Functions : Question 10 :
Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person’s medical characteristics and the target variable is binary: 1 for those who are likely to develop myopia and 0 for those who aren’t. This can be best classified as

Regression
Decision Tree
Clustering
Association Rules
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