Important Python Quiz with Answers 3

The post is about the Python Quiz with answers. There are 20 Multiple-Choice Questions about Python. The topics covered in the quiz are introduction to Python, Data Structures, Importing and Exporting Files, Control Structures (if statements and loops), and graphical representations of the data. Let us start with the Python Quiz with Answers.

Online Multiple Choice Questions about Python Programming Language

1. How can you access a specific element in a list in Python?

 
 
 
 

2. What defines the body of a decision construct in Python?

 
 
 
 

3. A pair plot can be created using which Python module uses the pairplot method?

 
 
 
 

4. How do you print “X is large” if $X$ is greater than 28 in Python?

 
 
 
 

5. Which of the following data structures are immutable, meaning that values cannot be changed in place?

 
 
 
 

6. Which of these print statements would output an error message in Python?

 
 
 
 

7. Which of these for loop statements would error (assume columns as an array)?

 
 
 
 

8. What keyword is used to create a function?

 
 
 
 

9. Which data structure is {'one':1, 'two':2}.

 
 
 
 

10. A ————- is a body of reusable code for performing specific processes or tasks.

 
 
 
 

11. Which command will grab the last few rows of a data frame?

 
 
 
 

12. How do you access the value of a dictionary key in Python?

 
 
 
 

13. In Python, the _____ statement sets a piece of code to run only when the condition of the if statement is false.

 
 
 
 

14. In Python, what types of data can tuples contain?

 
 
 
 

15. Which Python libraries were used to create the boxplots?

 
 
 
 

16. Which of the following are valid keywords for loops in Python?

 
 
 
 

17. Which of the following statements accurately describe NumPy arrays? Select all that apply.

 
 
 
 

18. In Python, when does an else statement execute a piece of code?

 
 
 
 

19. How can you access the length of a list in Python?

 
 
 
 

20. How do you add an element to a set in Python?

 
 
 
 

Python Quiz with Answers

Python Quiz with Answers
  • How can you access the length of a list in Python?
  • Which command will grab the last few rows of a data frame?
  • Which data structure is {‘one’:1, ‘two’:2}.
  • In Python, what types of data can tuples contain?
  • In Python, the ———- statement sets a piece of code to run only when the condition of the if statement is false.
  • In Python, when does an else statement execute a piece of code?
  • A ————- is a body of reusable code for performing specific processes or tasks.
  • Which of these for loop statements would error (assume columns as an array)?
  • Which of these print statements would output an error message in Python?
  • How do you print “X is large” if $X$ is greater than 28 in Python?
  • What defines the body of a decision construct in Python?
  • How do you add an element to a set in Python?
  • How do you access the value of a dictionary key in Python?
  • How can you access a specific element in a list in Python?
  • A pair plot can be created using which Python module uses the pairplot method?
  • Which of the following data structures are immutable, meaning that values cannot be changed in place?
  • Which of the following are valid keywords for loops in Python?
  • What keyword is used to create a function?
  • Which Python libraries were used to create the boxplots?
  • Which of the following statements accurately describe NumPy arrays? Select all that apply.

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Important Online Python Quiz 2

The post contains a Quiz about Python with Answers. The MCQs in this Python Quiz cover topics related to data frames in Python, some basic concepts, and an introduction to Python. Let us start with the quiz.

Please go to Important Online Python Quiz 2 to view the test

Python Quiz with Answers

  • We have a data frame called df. Which line of code aggregates the data based on a column (col_A) and counts the number of rows?
  • We have a data frame called df. Which method is used to create a line chart of two columns $a$ and $b$?
  • We want to delete a list of columns from our data frame df. Which one of these methods is used to delete a column in a data frame?
  • Which method creates the correlation matrix of the numerical columns in a data frame df?
  • How would you access the column “symboling” from the data frame df?
  • We have a data frame called df, in which the pandas property is used to check the columns’ data types.
  • We have a data frame called df, choose the correct pandas property that shows you the number of rows and columns in the data frame.
  • Suppose you have a data frame named df What does the following method do to the data frame df.head(12)?
  • A data professional wants to merge two pandas’ data frames. They want to join the data so that only the keys that are in both data frames get included in the merge. What technique can they use to do so?
  • How do you determine the median of data using Pandas?
  • How would you get the columns for temperature and rainfall from a data frame using Python?
  • What will be the datatype of the output of df[‘A’] where ‘df’ is a data frame and ‘A’ is one of the columns?
  • What will be the datatype of the output of df[‘A’] where ‘df’ is a data frame and ‘A’ is one of the columns?
  • A data professional is working with a NumPy array that has three rows and two columns. They want to change the data into two rows and three columns. What method can they use to do so?
  • Which data structure is [1,2,3,4].
  • What is indicated by the term null?
  • What is the name of the attribute that we want to predict
  • What is the difference between a list and a tuple in Python?
  • What is the syntax to create a tuple in Python?
  • What happens when you add an int and a float?
Python Quiz with Answers

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Online Python Quizzes

Click the links below to start with important Online Python Quizzes. These Online Python Quizzes cover topics related to Python Basics, Data types, Data Structures, Functions, Libraries, Editors, Conditional Statements, Loops, Performing Data Analysis, etc.

Online Python MCQs 3Online Python MCQs 2Online Python MCQs 1
Online Python Quizzes with Answers

Python is a powerful programming language widely used in statistics and other fields of life for data analysis.

Why Learn Python?

The following are important reasons why Python is a great language to learn:

  • Simple and Easy Language: Python is a simple language that makes it an excellent choice for beginners to learn the fundamentals of programming.
  • In-Demand Skill: Python is one of the most popular programming languages in the world, making it a valuable skill for various job opportunities.
  • Wide Applications: Python has wide applications such as it is being used for web development, data analysis, machine learning, and more making it highly versatile.
  • Active Community: The large and supportive Python community offers a wealth of resources and assistance for learners.
Features of Python

Python and Statistics

The following are the important reasons for the computations of different statistics in Python:

  1. Ease of Use: Python has a clear and concise syntax, making it relatively easy to learn and use compared to other languages. This allows statisticians to focus on the analysis itself rather than struggling with complex code.
  2. Extensive Libraries: Python boasts a rich ecosystem of statistical libraries. Here are some of the most popular ones:
    • statistics: Built-in module for basic descriptive statistics like mean, median, and standard deviation. Ideal for small datasets or even beginners of Python.
    • NumPy: The foundation for scientific computing in Python. Provides efficient arrays and functions for numerical computations commonly used in statistics.
    • SciPy: Extends NumPy with a wider range of statistical functions, including hypothesis testing, random number generation, and more.
    • Pandas: A library specifically designed for data manipulation and analysis. Offers data structures like DataFrames that make handling statistical data a breeze.

All of the above and other libraries provide a vast collection of tools for various statistical tasks, from data cleaning and exploration to complex modeling and statistical inference.

With its ease of use, vast capabilities, and supportive community, Python is an excellent computer programming language for beginners and experienced programmers alike. So, dive in and start exploring the exciting world of Python!

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