90+ Python, OOPS, Pandas, Numpy Interview Questions | Freshers/Experienced

Python Interview Questions for Freshers/Intermediates/Experienced Link: https://www.interviewbit.com/python-interview-questions/

Time Stamps 0:00 Motivation 1:42 Basic Questions 20:07 Advanced Questions 43:53 OOPS 55:20 Pandas 1:07:12 Numpy 1:18:08 Libraries 1:26:03 Basic Programs

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Questions: Basic 1. What is Python? What are the benefits of using Python 2. What is a dynamically typed language? 3. What is an Interpreted language? 4. What is PEP 8 and why is it important? 5. What is Scope in Python? 6. What are lists and tuples? What is the key difference between the two? 7. What are the common built-in data types in Python? 8. What is pass in Python? 9. What are modules and packages in Python? 10. What are global, protected and private attributes in Python? 11. What is the use of self in Python? 12. What is init? 13. What is break, continue and pass in Python? 14. What are unit tests in Python? 15. What is docstring in Python? 16. What is slicing in Python? 17. Explain how can you make a Python Script executable on Unix? 18. What is the difference between Python Arrays and lists?

Advanced 19. How is memory managed in Python? 20. What are Python namespaces? Why are they used? 21. What is Scope Resolution in Python? 22. What are decorators in Python? 23. What are Dict and List comprehensions? 24. What is lambda in Python? Why is it used? 25. How do you copy an object in Python? 26. What is the difference between xrange and range in Python? 27. What is pickling and unpickling? 28. What are generators in Python? 29. What is PYTHONPATH in Python? 30. What is the use of help() and dir() functions? 31. What is the difference between .py and .pyc files? 32. How Python is interpreted? 33. How are arguments passed by value or by reference in python? 34. What are iterators in Python? 35. Explain how to delete a file in Python? 36. Explain split() and join() functions in Python? 37. What does *args and **kwargs mean? 38. What are negative indexes and why are they used?

OOPS 39. How do you create a class in Python? 40. How does inheritance work in python? Explain it with an example. 41. How do you access parent members in the child class? 42. Are access specifiers used in python? 43. Is it possible to call parent class without its instance creation? 44. How is an empty class created in python? 45. Differentiate between new and override modifiers. 46. Why is finalize used? 47. What is init method in python? 48. How will you check if a class is a child of another class?

Pandas 49. What do you know about pandas? 50. Define pandas dataframe. 51. How will you combine different pandas dataframes? 52. Can you create a series from the dictionary object in pandas? 53. How will you identify and deal with missing values in a dataframe? 54. What do you understand by reindexing in pandas? 55. How to add new column to pandas dataframe? 56. How will you delete indices, rows and columns from a dataframe? 57. Can you get items of series A that are not available in another series B? 58. How will you get the items that are not common to both the given series A and B? 59. While importing data from different sources, can the pandas library recognize dates?

Numpy Interview Questions 60. What do you understand by NumPy? 61. How are NumPy arrays advantageous over python lists? 62. What are the steps to create 1D, 2D and 3D arrays? 63. You are given a numpy array and a new column as inputs. How will you delete the second column and replace the column with a new column value? 64. How will you efficiently load data from a text file? 65. How will you read CSV data into an array in NumPy? 66. How will you sort the array based on the Nth column? 67. How will you find the nearest value in a given numpy array? 68. How will you reverse the numpy array using one line of code? 69. How will you find the shape of any given NumPy array?

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• Python Interview questions

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