| S.No | Question |
|---|---|
| 1. | What is NumPy, and what are its main features? |
| 2. | Explain the concept of an ndarray in NumPy. |
| 3. | What are the different types of arrays in NumPy? |
| 4. | How do you create an array in NumPy? |
| 5. | What are the commonly used data types in NumPy arrays? |
| 6. | Explain some of the array attributes in NumPy. |
| 7. | What are the different array creation patterns in NumPy? |
| 8. | How do you perform indexing and slicing on NumPy arrays? |
| 9. | What is broadcasting in NumPy? |
| 10. | How can you iterate over elements in a NumPy array? |
| 11. | Explain some common array manipulation techniques in NumPy. |
| 12. | What are some string functions available in NumPy? |
| 13. | What mathematical functions are available in NumPy? |
| 14. | What are some arithmetical functions provided by NumPy? |
| 15. | How do you perform statistical calculations on NumPy arrays? |
| 16. | Explain some sort, search, and counting functions in NumPy. |
| 17. | What additional functionality does NumPy provide for matrices? |
| 18. | What is Pandas, and why is it used? |
| 19. | What are the main data structures in Pandas? |
| 20. | Explain the Series and DataFrame objects in Pandas. |
| 21. | What are the basic functionalities of a Series in Pandas? |
| 22. | How do you perform descriptive statistics on Pandas Series? |
| 23. | Explain function application in Pandas. |
| 24. | What is reindexing in Pandas? |
| 25. | How can you iterate over elements in a Pandas Series or DataFrame? |
| 26. | How do you sort data in a Pandas DataFrame? |
| 27. | What are the different methods for indexing and selecting data in Pandas? |
| 28. | How do you perform statistical calculations on Pandas data structures? |
| 29. | What are some common aggregation functions in Pandas? |
| 30. | How do you handle missing data in Pandas? |
| 31. | Explain the concept of the groupby function in Pandas. |
| 32. | What are the different methods for merging and joining data in Pandas? |
| 33. | How do you work with categorical data in Pandas? |
| 34. | What is the purpose of the dtype parameter in NumPy arrays? |
| 35. | Explain the difference between shape and reshape in NumPy. |
| 36. | How can you convert a NumPy array to a list? |
| 37. | What is the purpose of the ndim attribute in NumPy arrays? |
| 38. | How do you create an identity matrix using NumPy? |
| 39. | Explain the purpose of the .shape attribute in NumPy. |
| 40. | How can you reverse the order of elements in a NumPy array? |
| 41. | What is the purpose of the np.where() function in NumPy? |
| 42. | How do you calculate the sum of all elements in a NumPy array? |
| 43. | Explain the difference between np.dot() and np.matmul() in NumPy. |
| 44. | How do you calculate the standard deviation of a NumPy array? |
| 45. | What is the purpose of the np.unique() function in NumPy? |
| 46. | Explain the concept of axis in NumPy. |
| 47. | How do you perform element-wise multiplication of two NumPy arrays? |
| 48. | What is the purpose of the np.zeros() function in NumPy? |
| 49. | How can you concatenate two NumPy arrays vertically? |
| 50. | Explain the concept of strides in NumPy arrays. |
| 51. | What is the purpose of the np.full() function in NumPy? |
| 52. | How do you calculate the transpose of a NumPy array? |
| 53. | Explain the difference between shallow copy and deep copy in NumPy. |
| 54. | What is the purpose of the np.diag() function in NumPy? |
| 55. | How can you generate random numbers using NumPy? |
| 56. | Explain the concept of broadcasting in NumPy. |
| 57. | How do you calculate the mean of a specific axis in a NumPy array? |
| 58. | What is the purpose of the np.linspace() function in NumPy? |
| 59. | How can you find the maximum value in a NumPy array? |
| 60. | Explain the np.expand_dims() function in NumPy. |
| 61. | What is the purpose of the np.argmax() function in NumPy? |
| 62. | How do you convert a NumPy array to a Pandas DataFrame? |
| 63. | Explain the difference between loc and iloc in Pandas. |
| 64. | How can you read a CSV file into a Pandas DataFrame? |
| 65. | What is the purpose of the .head() method in Pandas? |
| 66. | How do you calculate the mean of a specific column in a Pandas DataFrame? |
| 67. | Explain the .apply() function in Pandas. |
| 68. | What is the purpose of the .sort_values() method in Pandas? |
| 69. | How can you select rows based on a condition in a Pandas DataFrame? |
| 70. | Explain the concept of hierarchical indexing in Pandas. |
| 71. | How do you handle missing data in a Pandas DataFrame? |
| 72. | What is the purpose of the .groupby() method in Pandas? |
| 73. | How can you merge two Pandas DataFrames based on a common column? |
| 74. | Explain the concept of outer join in Pandas merging. |
| 75. | How do you select specific columns from a Pandas DataFrame? |
| 76. | What is the purpose of the .value_counts() method in Pandas? |
| 77. | How can you replace missing values in a Pandas DataFrame? |
| 78. | Explain the .pivot() method in Pandas. |
| 79. | What is the purpose of the pd.cut() function in Pandas? |
| 80. | How do you convert categorical data into numerical values in Pandas? |
| 81. | Explain the concept of one-hot encoding in Pandas. |
| 82. | How do you calculate the sum of a specific column in a Pandas DataFrame? |
| 83. | What is the purpose of the .fillna() method in Pandas? |
| 84. | How can you group data by multiple columns in a Pandas DataFrame? |
| 85. | Explain the difference between merge() and join() in Pandas. |
| 86. | How do you convert a Pandas DataFrame to a NumPy array? |
| 87. | What is the purpose of the .to_csv() method in Pandas? |
| 88. | How can you drop duplicate rows from a Pandas DataFrame? |
| 89. | Explain the .idxmax() method in Pandas. |
| 90. | How do you rename columns in a Pandas DataFrame? |
| 91. | What is the purpose of the .iterrows() method in Pandas? |
| 92. | How can you select rows based on multiple conditions in a Pandas DataFrame? |
| 93. | Explain the concept of multi-indexing in Pandas. |
| 94. | How do you calculate the median of a Pandas Series? |
| 95. | What is the purpose of the .clip() method in Pandas? |
| 96. | How can you handle time series data in Pandas? |
| 97. | Explain the .nunique() method in Pandas. |
| 98. | How do you calculate the correlation between two columns in a Pandas DataFrame? |
| 99. | What is the purpose of the .str.contains() method in Pandas? |
| 100. | How can you convert a Pandas Series to a Python list? |
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