31. What is the result of the following lines of code?

a=np.array([0,1,0,1,0]) b=np.array([1,0,1,0,1]) a/b

  • array([0.1, 1.0, 0.1, 1.0, 0.1])
  • array([1, 1, 1, 1, 1])
  • Division by zero error

32. What is the result of the following lines of code?

a=np.array([1,1,1,1,1]) a+10

  • array([10,10,10,10,10])
  • array([1,1,1,1,1])
  • array([11, 11, 11, 11, 11])

33. What does the following line of code select along with the headers ‘Artist’, ‘Length’ and ‘Genre’ from the dataframe df?

y=df[['Artist','Length','Genre']]

  • The entire dataframe
  • Rows
  • Columns

34. Consider the file object: File1. How would you print the first two lines of text?

  • file1.readline(4)
  • for n in range(0,2): print(file1.readline())

35. Consider the following line of code:

with open("Example.txt","a") as file1:

What mode is the file object in?

  • append
  • read
  • write

36. What is the extraction of data from a website?

  • Web crawling
  • Data mining
  • Webscraping

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