Python for Data Science NPTEL | Week 2
Session: JAN-APR 2023
Course Name: Python for Data Science
Course Link: Click Here
These are NPTEL Python for Data Science Assignment 2 Answers
Q1. What will be the output of the following:
a. [[2 6 10]
[4 8 12]]
b. [[2 4 6]
[8 10 12]]
c. [[2 4]
[6 8]
[10 12]]
d. [[2 8]
[4 10]
[6 12]]
Answer: Update Soon
Q2. Let t1 = (1, 2, “tuple”, 4) and t2 = (5, 6, 7). Which of the following will not give any error after the execution?
a. t1.append(5)
b. x = t2[t1[1]]
c. t3 = t1 + t2
d. t3 = (t1, t2)
d. t3 = (list(t1), list(t2))
Answer: Update Soon
These are NPTEL Python for Data Science Assignment 2 Answers
Q3. Let d1 = {1 : “Pyhton”, 2 : [1, 2, 3]}. Which among the following will not give the error after the execution?
a. d1[2].append(4)
b. x = d1[0]
c. d1[“one”] = 1
d. d1.update({‘one’ : 2})
Answer: Update Soon
Q4. S1 = {1, 2, 3}
S2 = {5, 6, 3}
S1.add(4)
S2.add(“4”)
What will be the output of S1 − S2?
a. {1, 2, 3}
b. {1, 2, 3, 4}
c. {1, 2, “4”}
d. {1, 2, 4}
Answer: Update Soon
These are NPTEL Python for Data Science Assignment 2 Answers
Q5. S1 = “Hello” and S2 = “World”. Which of the following will not return “Hello world”?
a. S1 + “ ” + S2
b. S1[0 :] + “ ” + S2[0 :]
c. “{} {}”.format(S1, S2)
d. S1[: −1] + “ ” + S2[: −1]
Answer: Update Soon
Q6. Given a NumPy array, arr = np.array([[1, 9, 10], [3, 7, 6], [12, 8, 0]]), find the correct command from the following options to get an output array as [16 24 16]?
a. arr[1: 2]
b. np.sum(arr, axis = 0)
c. np.sum(arr, axis = 1)
d. np.sum([[1, 9, 10], [3, 7, 6], [12, 8, 0]])
Answer: Update Soon
These are NPTEL Python for Data Science Assignment 2 Answers
Q7. mat = np.matrix(“5, 9, 10; 2, 5, 4; 1, 9, 8; 2, 6, 8”)
mat1 = np.matrix(“1, 2, 3, 4”)
mat2 = np.insert(mat, 1, mat1, axis= 1)
print(mat2)
What will be the output of the above command?
a. [[5 2 1 2]
[1 2 3 4]
[9 5 9 6]]
[10 4 8 8]]
b. [[1 2 3 4]
[5 2 1 2]
[9 5 9 6]]
[10 4 8 8]]
c. [[5 1 9 10]
[2 2 5 4]
[1 3 9 8]]
[2 4 6 8]]
d. It will give an error.
Answer: Update Soon
Q8. student = {‘name’: ‘Jane’, ‘age’: 25, ‘courses’: [‘Math’, ‘Statistics’]}
Which among the following will return
{‘name’: ‘Jane’, ‘age’: 26, ‘courses’: [‘Math’, ‘Statistics’], ‘phone’: ‘123-456’}
a. student.update({‘age’ : 26})
b. student.update({‘age’ : 26, ‘phone’: ‘123-456’})
c. student[‘phone’] = ‘123-456’
d. student.update({‘age’ : 26})
e. None of the above
Answer: Update Soon
These are NPTEL Python for Data Science Assignment 2 Answers
Q9. c = np.arange(start = 1, stop = 20, step = 3). What is c[5]?
a. 13
b. 16
c. 15
d. 12
Answer: Update Soon
Q10. Which of the following data type is immutable?
a. list
b. set
c. tuple
d. dictionary
Answer: Update Soon
These are NPTEL Python for Data Science Assignment 2 Answers
More Weeks of Python for Data Science NPTEL: Click here
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Session: JULY-DEC 2022
Q1. Which of the following function(s) can be used to resize a NumPy array in Python from the given options.
a. array.shape(reshape)
b. array.reshape(shape)
c. numpy.reshape(array, shape)
d. numpy.reshape(shape, array)
Answers: b, c
These are NPTEL Python for Data Science Assignment 2 Answers
2. Create the tuples given below:
tuple_1 = (1,5,6,7,8)
tuple_2 = (8,9,4)
Identify which of the following options does not work on the given tuples
a. sum(tuple_1)
b. len(tuple_2)
c. tuple_2 + tuple_1
d. tuple_1[3] = 45
Answers: d. tuple_1[3] = 45
3. Create a sequence of numbers from 15 to 25 and increment by 4. What is the index of the element 19?
a. 3
b. 2
c. 0
d. 1
Answers: d. 1
These are NPTEL Python for Data Science Assignment 2 Answers
4. Consider a variable job = “chemist”. Which of the following expression(s) will retrieve the last character from the string?
a. job[7]
b. job[len(job) – 1]
c. job[5:6]
d. job[- 1]
Answers: b, c
5. Given a list, ls = [1, 2, 3, 3, 2, 3, 1, 4, 5, 6, 5, 6, 3, 2, 1, 1, 1, 7, 8, 9, 7, 8, 9, 7, 8, 9, 7, 8, 9, 10, 10, 1, 2, 3, 9, 10], which of the following would be the most efficient method in determining the unique elements present in ls?
a. By converting ls into a NumPy array, and applying relevant methods
b. By converting ls into a set
c. By iterating through ls, and doing appropriate manipulations
d. None of the above
Answers: b. By converting ls into a set
These are NPTEL Python for Data Science Assignment 2 Answers
6. Which of the following data structure(s) can be used as a key while creating a dictionary?
a. list
b. str
c. set
d. None
Answers: b. str
7. Given a dictionary, states = {‘Tamil Nadu’: ‘TN’, ‘Karnataka’: ‘KA’, ‘Kerala’: ‘KL’, ‘Maharashtra’: ‘MH’}, which of the following command(s) is used to remove the key-value pair ‘Karnataka’: ‘KA’ from it?
a. del states[‘Karnataka’]
b. states.popitem(‘Karnataka’)
c. states.pop(‘Karnataka’)
d. del states[‘Karnataka’:’KA’]
Answers: c. states.pop(‘Karnataka’)
8. Which of the following is valid to declare a string literal Shin’ichi to a variable?
a. “Shin’ichi”
b. ‘Shin”ichi’‘
c. Shin’ichi’
d. None of the above
Answers: a. “Shin’ichi”
These are NPTEL Python for Data Science Assignment 2 Answers
9. Which of the following commands can be used to create a NumPy array?
a. np.array()
b. np.zeros()
c. np.empty()
d. All of the above
Answers: d. All of the above
10. Given a NumPy array, arr = np.array([[5,9,10], [7,2,6], [12,8,0]]), find the correct command from the following options to get an output array as [24 15 20]?
a. np.sum(arr)
b. np.sum(arr, axis = 0)
c. np.sum(arr, axis = 1)
d. None of the above
Answers: c. np.sum(arr, axis = 1)
These are NPTEL Python for Data Science Assignment 2 Answers
More Weeks of Python for Data Science NPTEL: Click here
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