Module 4: Working with Data in Python

Looking for ‘python for data science ai & development module 4 answers‘?

In this post, I provide accurate answers and detailed explanations for Module 4: Working with Data in Python of Course 4: Python for Data Science, AI & Development – IBM Generative AI Engineering Professional Certificate

Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.

Practice Quiz

1. What are the most common modes used when opening a file?

  • (a)ppend, (r)edline, (w)rite
  • (s)ave, (r)ead, (w)rite
  • (a)ppend, (r)ead, (w)rite
  • (a)ppend, (c)lose, (w)rite

2. What is the data attribute that will return the title of the file?

  • File1.open()
  • File1.mode
  • File1.name
  • File1.close()

3. What is the command that tells Python to begin a new line?

  • \n
  • \q
  • \b
  • \e

4. What attribute is used to input data into a file?

  • File1.close()
  • File1.open()
  • File1.write()
  • File1.read()

5. What python object do you cast to a dataframe?

  • set
  • tuple
  • dictionary

6. How would you access the first-row and first column in the dataframe df?

  • df.ix[0,0]
  • df.ix[0,1]
  • df.ix[1,0]

7. What is the proper way to load a CSV file using pandas?

  • pandas.from_csv(‘data.csv’)
  • pandas.load_csv(‘data.csv’)
  • pandas.read_csv(‘data.csv’)
  • pandas.import_csv(‘data.csv’)

8. Use this dataframe to answer the question.

How would you select the Genre disco? Select all that apply.

  • df.iloc[6, ‘genre’]
  • df.loc[6, 5]
  • df.iloc[6, 4]
  • df.loc[‘Bee Gees’, ‘Genre’]

9. Use this dataframe to answer the question.

Which will NOT evaluate to 20.6? Select all that apply.

  • df.iloc[4,5]
  • df.iloc[6,5]
  • df.loc[4,’Music Recording Sales’]
  • df.iloc[6, ‘Music Recording Sales (millions)’]

10. Use this dataframe to answer the question.

How do we select Albums The Dark Side of the Moon to Their Greatest Hits (1971-1975)? Select all that apply.

  • df.iloc[2:5, ‘Album’]
  • df.loc[2:5, ‘Album’]
  • df.iloc[2:6, 1]
  • df.loc[2:5, 1]

11. What is the Python library used for scientific computing and is a basis for Pandas?

  • Requests
  • Tkinter
  • Numpy
  • datetime

12. What attribute is used to retrieve the number of elements in an array?

  • a.size
  • a.ndim
  • a.shape
  • a.dtype

13. How would you change the first element to "10" in this array c:array([100,1,2,3,0])?

  • c[0]=10
  • c[4]=10
  • c[2]=10
  • c[1]=10

14. What attribute is used to return the number of dimensions in an array?

  • a.ndim
  • a.shape
  • a.size
  • a.dtype

Module 4 Graded Quiz

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

a=np.array([-1,1])
b=np.array([1,1])
np.dot(a,b)

  • array([0,2])
  • 1
  • 0

16. How do you perform matrix multiplication on the numpy arrays A and B ?

  • A+B
  • A*B
  • np.dot(A,B)

17. What values does the variable out take if the following lines of code are run?

X=np.array([[1,0,1],[2,2,2]])
out=X[0:2,2]
out

  • array([1,0])
  • array([1,2])
  • array([1,1])

18. What is the value of Z after the following code is run?

X=np.array([[1,0],[0,1]])
Y=np.array([[2,1],[1,2]])
Z=np.dot(X,Y)

  • array([[2,1],[1,2] ])
  • array([[2,0],[1,0]])
  • array([[3,1],[1,3] ])

19. Consider the following text file: Example1.txt:

This is line 1

This is line 2

This is line 3

What is the output of the following lines of code?

with open("Example1.txt","r") as File1:

file_stuff=File1.readline ()

print(file_stuff)

  • This is line 1

  • This is line 1

    This is line 2

    This is line 3

  • This is line 1

    This is line 2

20. What do the following lines of code do?

with open("Example1.txt","r") as file1:

FileContent=file1.readlines()

print(FileContent)

  • Read the file “Example1.txt”
  • Write to the file “Example1.txt”
  • Append the file “Example1.txt”

21. What do the following lines of code do?

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

writefile.write("This is line A\n")
writefile.write("This is line B\n")

  • Write to the file “Example.txt”
  • Read the file “Example.txt”
  • Append the file “Example.txt”

22 What task do the following lines of code perform?

with open('Example2.txt','r') as readfile:
with open('Example3.txt','w') as writefile:
for line in readfile:
writefile.write(line)

  • Copy the text from Example2.txt to Example3.txt.
  • Print out the content of Example2.txt.
  • Check the mode of the open function for each file object.

23. Consider the dataframe df. How would you access the element in the 2nd row and 1st column?

  • df.iloc[1,0]
  • df.iloc[2,1]
  • df.iloc[0,1]

24. In the lab, you learned you can also obtain a series from a dataframe df, select the correct way to assign the column with the header Length to a pandas series to the variable x.

  • x=df[‘Length’]
  • x=df[[‘Length’]]
  • x=df.[[‘Length’]]

Related contents:

Module 1: Python Basics
Module 2: Python Data Structures
Module 3: Python Programming Fundamentals
Module 5: APIs and Data Collection

You might also like:

Leave a Reply