51 Python Interview Questions And Answers https://www.skillvertex.com/blog Fri, 10 May 2024 11:49:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://www.skillvertex.com/blog/wp-content/uploads/2024/01/favicon.png 51 Python Interview Questions And Answers https://www.skillvertex.com/blog 32 32 Top 51 Python Interview Questions And Answers 2024 https://www.skillvertex.com/blog/python-interview-questions/ https://www.skillvertex.com/blog/python-interview-questions/#respond Fri, 10 May 2024 11:49:40 +0000 https://www.skillvertex.com/blog/?p=3614 Read more]]> 1. What is Python? 

2. Why Python?

3. How to Install Python?

4. What are the applications of Python?

5. What are the advantages of Python?

6. What are the key features of Python?

7. What do you mean by Python literals?

8. What type of language is Python?

9. How is Python an interpreted language?

10. What is pep 8?

11. What is namespace in Python?

12. What is PYTHON PATH?

13. What are Python modules?

14. What are local variables and global variables in Python?

15. Explain what Flask is and its benefits?

16. Is Django better than Flask?

17. Mention the differences between Django, Pyramid, and Flask.

18. Discuss Django architecture

19. Explain Scope in Python?

20. List the common built-in data types in Python?

21. What are global, protected, and private attributes in Python?

22. What are Keywords in Python?

23. What is the difference between lists and tuples in Python?

24. How can you concatenate two tuples?

25. What are functions in Python?

26. How can you initialize a 5*5 numpy array with only zeroes?

27. What are Pandas?

28. What are data frames?

29. What is a Pandas Series?

30. What do you understand about pandas groupby?

31. How to create a dataframe from lists?

32. How to create a data frame from a dictionary?

33. How to combine dataframes in pandas?

34. What kind of joins does pandas offer?

35. How to merge dataframes in pandas?

36. Give the below dataframe drop all rows having Nan.

37. How to access the first five entries of a dataframe?

38. How to access the last five entries of a dataframe?

39. How to fetch a data entry from a pandas dataframe using a given value in index?

40. What are comments and how can you add comments in Python?

41. What is a dictionary in Python? Give an example.

42. What is the difference between a tuple and a dictionary?

43. Find out the mean, median and standard deviation of this numpy array -> np.array

([1,5,3,100,4,48])

44. What is a classifier?

45. In Python how do you convert a string into lowercase?

46. How do you get a list of all the keys in a dictionary?

47. How can you capitalize the first letter of a string?

48. How can you insert an element at a given index in Python?

49. How will you remove duplicate elements from a list?

50. What is recursion?

51. Explain Python List Comprehension.

Python Interview Questions And Answers

  1. What is Python?

Ans.Python is a high-level, interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python has a large and active community, making it a popular choice for various applications, from web development to data science.

2.Why Python?

Ans.Python is chosen for its readability, simplicity, and versatility. It has a vast standard library, supports multiple programming paradigms, and has extensive community support. Python is widely used in web development, data science, artificial intelligence, automation, and more.

3.How to Install Python?

Ans.To install Python, you can follow these general steps:

  • Visit the official Python website (https://www.python.org/).
  • Navigate to the “Downloads” section.
  • Choose the appropriate version for your operating system (Windows, macOS, or Linux).
  • Download the installer and run it.
  • Follow the installation instructions, making sure to check the option to add Python to the system PATH.

4.Applications of Python:

Ans.Python is used in various applications, including:

  • Web Development (Django, Flask)
  • Data Science and Machine Learning (NumPy, Pandas, TensorFlow)
  • Artificial Intelligence (NLTK, OpenCV)
  • Automation and Scripting
  • Network Programming
  • Game Development
  • Desktop GUIs (using Tkinter, PyQt)

5.What are the Advantages of Python?

Ans.

  • Readability and simplicity.
  • Large standard library.
  • High-level language with dynamic typing.
  • Cross-platform compatibility.
  • Versatility in application domains.
  • Strong community support.
  • Integration capabilities with other languages.

6. What are the Key Features of Python?

Ans.

  • Easy-to-read syntax.
  • Dynamic typing.
  • Automatic memory management (garbage collection).
  • Interpreted nature.
  • High-level data structures.
  • Extensibility through C/C++.

7.Python Literals:

  • In Python, literals are raw data used to represent values in code. Examples include:
    • Numeric literals (e.g., 42, 3.14)
    • String literals (e.g., 'hello', "world")
    • Boolean literals (True and False)
    • List literals (e.g., [1, 2, 3])
    • Tuple literals (e.g., (1, 2, 3))
    • Dictionary literals (e.g., {'key': 'value'})
    • Set literals (e.g., {1, 2, 3})

8. What type of Language used in python?

Ans.

Python is a high-level, general-purpose programming language. It supports multiple programming paradigms, including object-oriented, procedural, and functional programming.

9.How Python is an Interpreted Language?

Ans.

Python is an interpreted language, meaning that the Python code is executed line by line by the Python interpreter. There is no need for a separate compilation step. This contributes to the simplicity and ease of development in Python.

10.What is PEP 8?

Ans. PEP 8 stands for “Python Enhancement Proposal 8.” It is a style guide for writing Python code, providing conventions on how to format code for better readability. PEP 8 covers aspects such as indentation, whitespace, naming conventions, and other coding style recommendations. Following PEP 8 helps maintain consistency in Python code across projects.

Hridhya Manoj

Hello, I’m Hridhya Manoj. I’m passionate about technology and its ever-evolving landscape. With a deep love for writing and a curious mind, I enjoy translating complex concepts into understandable, engaging content. Let’s explore the world of tech together

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