Python Interview Questions and Answers 2023 | Top Python Interview Questions For Freshers


Python Interview Questions and Answers 2023 | Top Python Interview Questions For Freshers


Python Interview Questions and Answers 2023 | Top Python Interview Questions For Freshers. The candidate has a good understanding of basic Python syntax, control flow, functions, and various other programming concepts. Practical coding exercises and problem-solving might also be part of the interview process. Be sure to practice coding exercises and review Python fundamentals to prepare effectively for your Python interview.

Python Interview Questions and Answers 2023

Quiz NamePython Interview Questions and Answers Set 2
CategoryReasoning
Number of Questions30
Time30 Minutes
Exam TypeMCQ (Multiple Choice Questions)

1. What is the most important reason for using polymorphism?
a. It enables the programmer to think at a higher level of abstraction.
b. There is less code to write in the programme.
c. The software will be easier to maintain and update, with a more elegant design.
d. Code for programmes takes up less space.


2. Which of the following statements about members of the protected class is incorrect?
a. They all start with a single underscore.
b. Subclasses can get to them.
c. They can be accessible from within a class, for example.
d. They can be accessible through the approach of name mutilation.


3. We use to read the remainder of the file's contents as a string from a file object infile.
a. infile.read is a programme that allows you to read files in a specific format (2)
b. infile.read is a programme that allows you to read files from a computer ()
c. infile.readline is a programme that allows you to read files in a specific format ()
d. infile.readlines is a programme that allows you to read lines from a file ()


4. What will the following Python code produce as a result? c(f) is a definition. inner(*args, **kargs): define inner(*args, **kargs): define inner(*args, **karg f(*args, **kargs) return inner.co += 1 return inner @c inner.co = 0 fnc() is a function that takes a parameter and returns a value. fnc() fnc() fnc() fnc() print if __name__ == '__main__' (fnc.co)
a. 4
b. 3
c. 0
d. 1


5. The positional argument, justified in a 10 character wide field, is represented by the formatting method 1:10.
a. Right away
b. to the left, first
c. left, second
d. first and foremost, correctly


6. Which of the following Boolean expressions does not logically equal the others?
a. (-60 or -6>10)
b. (-6>10 or -6==10) not(-6>10 or-6==10)
c. not(-6==10)
d. -6>=0 and -6=10 are two examples of -6>=0 and -6=10, respectively.


7. The truncation division operator is, which of the following?
a. /
b. |
c. %
d. //


8. Which of the following is a predefined data type in Python?
a. Class
b. List
c. Dictionary
d. Tuple


9. Which of the following functions generates a space-padded string that is left-justified to a total of width columns?
a. Uppercase ()
b. work together (seq)
c. elegans (string)
d. Just (width[, fillchar])


10. In Python, which of the functions below converts a String to a set?
a.set (x)
b. dictation ()
c. set in ice (s)
d. chr. (x)


11. What is the keyword for starting a function in Python?
a. function
b. def
c. Attempt
d. import


12. You're not going to make a dictionary, are you?
a. d = 50 for milk' and 40 for 'celery'
b. d = dict(milk=50, celery=40)
c. d = dict([('milk, 50), ('celery, 40)])
d. ('milk,' 50), ('celery,' 40)


13. Which of the following statements is true?
a. Lists are mutable, while Tuples are not.
b. Both the list and the tuple are mutable.
c. Neither of these can be changed.
d. They're both mutable in some way.


14. To tie a canvas to a key event, select the valid code -----
a. Entered on canvas (Enter, p)
b. Canvas.entered("Enter> ",p)
c. C. bind("key> ",p) Canvas.
d. (key,p)


15. What does the expression 3*1**3 give you as a result?
a. 27
b. 9
c. 3
d. 1


16. What is the result of the below function (the random module has already been imported)? random.choice(‘sun’)
a. Sun
b. u
c. s, u, or n are all possible answers
d. a mistake


17. Which of the following statements regarding recursion is incorrect?
a. A non-recursive function can be used to replace a recursive one.
b. Recursive functions require more memory than non-recursive functions.
c. Recursive functions execute more quickly than non-recursive functions.
d. Recursion simplifies the understanding of programmes.


18. What does the following line of code produce? a(b) = b + [5] = a(b) [1, 2, 3, 4] is the value of the variable c. a(c) \sprint(len(c))
a. 4
b. 5
c. 1
d. There is an exception thrown


19. What does the following produce? maketrans('ABC','123') print('a'.maketrans('ABC','123')
a. {97: 49, 98: 50, 99: 51}
b. {65: 49, 66: 50, 67: 51}
c. {97: 49}
d. 1


20. Python libraries for data analysis and scientific computations are available in the options below.
a. Numpy
b. Scipy, Benjamin
c. Pandas (Canis lupus)
d. everything that comes to mind


21. What will the following Python code produce as a result? odd=lambda x is a boolean variable that represents whether something is true or false (x percent 2) [n in range(10)] numbers=[n for n] print(numbers) In numbers, n=list() for I if odd(i): if strange(i): if strange(i): continue \selse:
a. break
b. [0, 2, 4, 6, 8, 10]
c. [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
d. [1, 3, 5, 7, 9]


22. What will the following Python code produce as a result? ['ab','cd'] x = ['ab','cd'] x = ['ab','cd list(map(len, x)) print(len, x)
a. 'ab' and 'cd' are both abbreviations for 'ab' and 'cd' respectively.
b. 2 and 2
c. ['2','2']
d. Neither of the preceding


23. What will the following Python code produce as a result? ['ab','cd'] x = ['ab','cd'] x = ['ab','cd print(list(map(list, x)))
a. 2
b. 4
c. blunders
d. none of the aforementioned options are available.


24. In Python, which of these is the package definition?
a. A collection of Python definitions and statements in a variety of files.
b. A collection of essential modules
c. A collection of Python modules-based apps.
d. Python modules in a folder


25. Which statement about the top-down design process is true?
a. Before the overall design, the details of programme design are handled.
b. Prior to addressing the details, the overall concept of the programme is addressed.
c. The software is only discussed in terms of its design.
d. The program's specifics are only discussed.


26. In Python, which of the following statements applies to variable names?
a. length is unconstrained
b. leading and trailing underscores are required for all private members.
c. The underscore and the ampersand are the only special characters that are permitted.
d. none of the aforementioned options are available.


27. What is the name of the function that puts an object into a list at a specified index?
a. index.list.a (obj)
b. list.insert is a type of list that allows you to add items to a list (index, obj)
c. obj=list[-1]) list.pop
d. list.remove is a function that allows you to remove items from a list (obj)


28. In Python, is lambda a function?
a. False
b. True
c. Lambda is a Python function that can't be used by users.
d. None of the aforementioned options are viable options.


29. Which of the following keywords can be used as the function's body?
a. pass
b. proceed
c. Body
d. a pause


30. What does the following produce? print('abcd'.translate('a': 1', 'b': 2', 'c': 3', 'd': 4'))
a. 1234
b. abcd
c. blunders
d. none of the aforementioned options are available.


Python is a popular programming language that is easy to learn and use. It was created by Guido van Rossum and released in 1991. Python is known for its simplicity and readability, making it a great choice for beginners and experienced developers alike.


In the IT industry, Python is used in a wide range of applications:

Web Development: Python can be used to build websites and web applications. There are frameworks like Django and Flask that make web development with Python even easier.

Data Analysis and Science: Python is widely used for data analysis, scientific computing, and machine learning. Libraries like NumPy, Pandas, and Scikit-learn provide powerful tools for working with data.

Automation: Python is used to automate repetitive tasks. It can help in writing scripts to perform tasks like file manipulation, data processing, or system administration.

Artificial Intelligence and Machine Learning: Python is the language of choice for many AI and ML projects due to its extensive libraries and frameworks.

Game Development: Python can be used for creating simple games and prototypes.

Desktop Applications: Python allows developers to build cross-platform desktop applications with the help of frameworks like PyQt and Tkinter.

Scripting: Python is commonly used for writing scripts to automate tasks or to interact with other software.

Networking: Python is used to create network applications and tools.

Security and Penetration Testing: Python is employed in the field of cybersecurity for tasks such as penetration testing and network security analysis.

DevOps: Python is utilized in DevOps practices for tasks like configuration management and automation of deployment processes.

In a Python interview, you may encounter questions related to various aspects of the language. Here are five important keywords or topics that are frequently discussed in Python interviews:

  • Python Data Structures: Understanding data structures like lists, dictionaries, tuples, and sets is crucial. Interviewers might ask about their usage, methods, and performance characteristics.
  • Object-Oriented Programming (OOP): Python supports OOP, and interviewers often inquire about classes, objects, inheritance, polymorphism, and encapsulation.
  • Exception Handling: Python has a robust exception handling mechanism using try, except, and finally blocks. Be prepared to explain how to handle errors gracefully in Python code.
  • Python Standard Library: Familiarity with the Python Standard Library is essential. Some frequently asked topics include working with strings, file handling, modules, and built-in functions.
  • Python Frameworks: Depending on the job role, the interviewer might ask about popular Python frameworks such as Django for web development, NumPy and Pandas for data analysis, and TensorFlow or PyTorch for machine learning.

Author | Post Updated on Friday, May 12, 2023

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