NPTEL Python For Data Science Week 1 Assignment Answers 2024

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NPTEL Python For Data Science Week 1 Assignment Answers 2024

Q1. What is the output of the following code?

NPTEL Python For Data Science Week 1 Assignment Answers 2024
  • 36
  • 121212
  • 123
  • Error: Invalid operation, unsupported operator ‘*’ used between ‘int’ and ‘str’
Answer:- For Answer Click Here

Q2. What is the output of the following code?

NPTEL Python For Data Science Week 1 Assignment Answers 2024
  • -1
  • -2
  • -1.28
  • 1.28
Answer:- For Answer Click Here

Q2. Consider a following code snippet. What is a data type of y?

NPTEL Python For Data Science Week 1 Assignment Answers 2024
  • int
  • float
  • str
  • Code will throw an error
Answer:- 

Q4 Which of the following variable names are INVALID in Python?

  • 1_variable
  • variable_1
  • variable1
  • variable#
Answer:- 

Q5. While naming the variable, use of any special character other than underscore(_) will throw which type of error?

  • Syntax error
  • Key error
  • Value error
  • Index error
Answer:- 

Q6. Let x = “Mayur”. Which of the following commands converts the ‘x’ to float datatype?

  • str(float,x)
  • x.float()
  • float(x)
  • Cannot convert a string to float data type
Answer:- For Answer Click Here

Q7. Which Python library is commonly used for data wrangling and manipulation?

  • Numpy
  • Pandas
  • scikit
  • Math
Answer:- 

Q8. Predict the output of the following code.

NPTEL Python For Data Science Week 1 Assignment Answers 2024
  • 12.0
  • 12
  • 11.667
  • 11
Answer:- 

Q9. Given two variables, j = 6 and g = 3.3. If both normal division and floor division operators were used to divide j by g, what would be the data type of the value obtained from the operations?

  • int, int
  • float, float
  • float, int
  • int, float
Answer:- 

Q10. Let a = 5 (101 in binary) and b = 3 (011 in binary). What is the result of the following operation?

NPTEL Python For Data Science Week 1 Assignment Answers 2024
  • 3
  • 7
  • 5
  • 1
Answer:- For Answer Click Here