Python for Data Science NPTEL Week 2 Assignment Answers
Are you looking for the Python for Data Science NPTEL Week 2 Assignment Answers 2024? You’ve come to the right place! This guide offers detailed solutions to the Week 2 assignment questions, helping you solidify your understanding of Python programming and its applications in data science.
These are Python for Data Science Nptel Week 2 Assignment Answers
Q9. 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
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These are NPTEL Python for Data Science Assignment 2 Answers
Q1. Which of the following object does not support indexing? tuple list dictionary set
Answer: set
Q2. Given a NumPy array, arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]), what is the output of the command, print(arr[0][1])? a. [[1 2 3] [4 5 6] [7 8 9] b. [1 2 3] c. [4 5 6] d. [7 8 9]
Answer: c. [4 5 6]
Q3. What is the output of the following code? [2, 3, 4, 5] [0 1 2 3] [1, 2, 3, 4] Will throw an error: Set objects are not iterable.
Answer: [1, 2, 3, 4]
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These are NPTEL Python for Data Science Assignment 2 Answers
Q4. What is the output of the following code? a) b) c) d)
Q5. Which of the following code gives output My friend’s house is in Chennai? a) b) c) d)
Answer: a), d) a) place = ‘Chennai’ print (“My friend’s house is in {}”. format (place) ) d) print (“My friend’s house is in {}”. format (“Chennai”) )
Q6. Let t1=(1,2,“tuple”,4) and t2=(5,6,7). Which of the following will not give any error after the execution? t1.append(5) x=t2[t1[1]] t3=t1+t2 t3=(t1,t2) t3=(list(t1), list(t2))
Answer: b, c, d, e
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These are NPTEL Python for Data Science Assignment 2 Answers
Q7. Let d={1:“Pyhton”,2:[1,2,3]}. Which among the following will not give the error after the execution? d[2].append(4) x=d[0] d[“one”]=1 d.update({‘one’ : 2})
Answer: a, c, d
Q8. Which of the following data type is immutable? list set tuple dictionary
Answer: tuple
Q9. 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’ student.update({‘age’ : 26}) d. None of the above
Answer: a, b, c
Q10. What is the output of the following code? [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’] [‘m’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘M’, ‘a’, ‘h’, ‘e’, ‘s’, ‘h’] [‘m’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]
Answer: [‘M’, ‘A’, ‘H’, ‘E’, ‘S’, ‘H’]
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These are NPTEL Python for Data Science Assignment 2 Answers
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: b. [[2 4 6] [8 10 12]]
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) e. t3 = (list(t1), list(t2))
Answer: a, b, c, d, e
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: a, c, d
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: d. {1, 2, 4}
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: d. S1[: −1] + “ ” + S2[: −1]
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: b. np.sum(arr, axis = 0)
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: d. It will give an error.
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: b, c
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: b. 16
Q10. Which of the following data type is immutable? a. list b. set c. tuple d. dictionary
Answer: c. tuple
These are NPTEL Python for Data Science Assignment 2 Answers
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Python for Data Science NPTEL Week 2 Assignment Answers (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)
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
