Python Quizzes

Test your Pandas skills with this Python Pandas Quiz! Challenge yourself with questions on DataFrames, Series, data selection, manipulation, and analysis. Perfect for beginners and intermediate learners aiming to master data handling in Python. Can you score 100% on Python Quizzes? Take the Python Pandas Quiz now!

Online Python Pandas Quiz with Answers

• Assume you have a data frame containing details of various musical artists, their famous albums, genres, and other relevant parameters. Here, Genre is the fifth column in the sequence, and there is an entry of “Disco” in the 7th row of the data. How would you select the Genre disco?
• Assume you have a data frame containing details of various musical artists, their famous albums, genres, and other relevant parameters. Here, Album is the second column. How do we retrieve records from row 3 through row 6?
• Select the correct ways to create a DataFrame in Pandas.
• Which Python library is commonly used for data manipulation and analysis, particularly for handling numerical tables and time series?
• Which method in pandas allows you to check the first few rows of a DataFrame?
• What is the key difference between a Pandas DataFrame and a Pandas Series?
• Which of the following are true about Pandas DataFrames?
• Which of the following commands would you use to retrieve only the attribute datatypes of a dataset loaded as a pandas data frame df?
• What does the following method do to the data frame? df.head(12)
• We have the list headers_list: headers_list=[‘A’,’B’,’C’] We also have the data frame df that contains three columns. What syntax should you use to replace the headers of the data frame df with values in the list headers_list?
• What description best describes the library Pandas?
• The Pandas library is mostly used for what?
• What is the primary purpose of the ‘map’ method in Pandas?
• What is a key advantage of using the ‘apply’ method on a Pandas series?
• Which method can be used to count the occurrences of unique values in a Pandas series?
• Which of the following statements accurately describes the use of the ‘iloc’ accessor for extracting series values?
• Which of the following statements are true about using the ‘in’ keyword in Python with Pandas series?
• Which of the following methods can be used to sort a DataFrame in Pandas?
• Which method would you use to convert a series to a specific data type in Pandas?
• Which method in Pandas would you use to analyze and identify the most frequent occurrences in different columns of a dataset?

Try MS Excel Power Query Quiz Questions

Master Python Control Structures with this interactive quiz! This Python Control Structures Quiz is designed for students, programmers, data analysts, and IT professionals. This Python Quiz tests your understanding of if-else, loops (for/while), and flow control in Python. Whether you are a beginner or an expert, sharpen your logic and debugging skills with real-world examples through this Python Control Structures Quiz. Can you score 100%? Let us start with the Online Python Control Structures Quiz now.

Please go to Python Control Structures Quiz 12 to view the test

Online Python Control Structures Quiz with Answers

• Which of the following best describes the purpose of the ‘elif’ statement in a conditional structure?
• What will be the result of the following?
  for x in range(0, 3):
  print(x)
• What is the output of the following
  for x in [‘A’, ‘B’, ‘C’]:
  print(x+’A’)
• What is the output of the following?
  for i, x in enumerate([‘A’, ‘B’, ‘C’]):
  print(i, x)
• What result does the following code produce?
  def print_function(A):
  for a in A:
  print(a + ‘1’)
• What is the output of the following code?
  x = “Go”
  if x == “Go”:
  print(‘Go’)
  else:
  print(‘Stop’)
  print(‘Mike’)
• What is the result of the following lines of code?
  x = 0
  while x < 2:
  print(x)
  x = x + 1
• What is the output of the following few lines of code?
  for i, x in enumerate([‘A’, ‘B’, ‘C’]):
  print(i + 1, x)
• Considering the function step, when will the following function return a value of 1?
  def step(x):
  if x > 0:
  y = 1
  else:
  y = 0
  return y
• What is the output of the following lines of code?
  a = 1
  def do(x):
  return x + a
  print(do(1))
• For the code shared below, what value of $x$ will produce the output “How are you?”?
  if(x!=1):
  print(‘How are you?’)
  else:
  print(‘Hi’)
• What is the output of the following?
  for i in range(1,5):
  if (i!=2):
  print(i)
• In Python, what is the result of the following code?
  x = 0
  while x < 3:
  x += 1
  print(x)
• What will be the output of the following Python code?
  x = 5
  y = 10
  if x > y:
  print(‘x is greater than y’)
  else:
  print(‘x is less than or equal to y’)
• Identify which of the following while loops will correctly execute 5 times.
• Which of the following statements correctly demonstrates the use of an if-else conditional statement in Python?
• Which of the following correctly demonstrates the use of an if-else statement to check if a variable ‘x’ is greater than 10 and print ‘High’ if true, or ‘Low’ if false?
• Which loop is used when the number of iterations is unknown?
• What does the break statement do in a loop?
• Which loop is best for iterating over a list?

Statistics for Data Analysts and Data Scientists

These Python NumPy MCQs are designed to test your understanding of fundamental NumPy concepts, including array creation, manipulation, and common operations. The Python NumPy MCQs Quiz consists of multiple-choice questions (MCQs) covering essential topics such as:

• Array creation (np.array(), np.zeros(), np.arange())
• Array properties (.shape, .size)
• Basic operations (dot product, arithmetic)
• NumPy terminology

Each question is followed by the correct answer, making it useful for self-assessment, interviews, or exam preparation. Whether you are a beginner or an intermediate Python programmer, this Python Quiz helps reinforce key NumPy skills efficiently. Let us start with the Python NumPy MCQs now.

Please go to Python NumPy MCQs 11 to view the test

Online Python Numpy MCQs with Answers

• What result will the following lines of code give?
  a=np.array([0,1])
  b=np.array([1,0]) np.dot(a,b)
• What does the value of $Z$ become after executing the following code?
  X=np.array([[1,0], [0,1]])
  Y=np.array([[0,1], [1,0]])
  Z=X+Y  
• If you run the following lines of code, what values will the variable ‘out’ take?
  X=np.array([[1,0,1],[2,2,2]])
  out=X[0:2,2]
• If you run the following lines of code, what values will the variable ‘out’ take?
  X=np.array([[1,0], [0,1]])
  Y=np.array([[2,2], [2,2]])
  Z=np.dot(X,Y)
• After executing the given code, what value does $Z$ hold?
  X=np.array([[1,0], [0,1]])
  Y=np.array([[2,1], [1,2]])
  Z=np.dot(X,Y)
• What outcome do the following lines of code produce?
  a=np.array([0,1,0,1,0])
  b=np.array([1,0,1,0,1])
  a+b
• What line of code would produce the following: array([11, 11, 11, 11, 11])?
• Which is the correct way to create a $2\times2$ NumPy array filled with ones?
• Which of the following are valid ways to create a NumPy array?
• Which of the following operations can be performed on NumPy arrays?
• How do you access the element at the second row and third column of a 2D NumPy array ‘arr’?
• What is the primary purpose of the NumPy library in Python?
• What Python libraries are commonly used for data mining?
• What does NumPy stand for?
• Which of the following statements about creating and manipulating multi-dimensional arrays in Python using NumPy are true?
• Which function is used to create a NumPy array?
• What is the output of np.zeros((2,3))?
• Which method returns the shape of a NumPy array?
• What does np.arange(5) produce?
• What does np.random.seed(42) do?

Islamiat MCQs 9th Class Quiz