50 Python interview questions for a Data Engineer role

50 Python Interview Questions for Data Engineer

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Here are 50 Python interview questions for a Data Engineer:

  1. What is the difference between a tuple and a list in Python?
  2. What is a Python dictionary, and how is it different from a list?
  3. What are decorators in Python, and how are they used?
  4. What is the difference between a static method and a class method in Python?
  5. What is the use of lambda functions in Python?
  6. What is the purpose of the “yield” keyword in Python?
  7. How do you handle exceptions in Python?
  8. How do you check the type of an object in Python?
  9. What are the differences between “is” and “==” in Python?
  10. How do you use regular expressions in Python?
  11. What is the difference between shallow and deep copy in Python?
  12. What is the purpose of the “with” statement in Python?
  13. What is the difference between “append” and “extend” in Python?
  14. What is the purpose of the “zip” function in Python?
  15. What is the difference between “map” and “filter” in Python?
  16. What is the purpose of the “enumerate” function in Python?
  17. What is the difference between a generator function and a regular function in Python?
  18. What is the purpose of the “itertools” module in Python?
  19. How do you perform multi-threading in Python?
  20. What is the difference between multi-threading and multi-processing in Python?
  21. How do you read and write files in Python?
  22. What is the purpose of the “pickle” module in Python?
  23. What is the difference between NumPy and Pandas in Python?
  24. What is the use of the “groupby” function in Pandas?
  25. How do you merge data frames in Pandas?
  26. What is the difference between a join and a merge in Pandas?
  27. What is the purpose of the “apply” function in Pandas?
  28. What is the use of the “pivot_table” function in Pandas?
  29. How do you handle missing data in Pandas?
  30. What is the difference between a Series and a DataFrame in Pandas?
  31. What is the purpose of the “iloc” and “loc” functions in Pandas?
  32. How do you create visualizations in Python?
  33. What is the purpose of the “matplotlib” library in Python?
  34. What is the difference between a scatter plot and a line plot in Python?
  35. What is the use of the “seaborn” library in Python?
  36. What is the purpose of the “plotly” library in Python?
  37. What is the use of the “Bokeh” library in Python?
  38. What is the difference between a bar chart and a histogram in Python?
  39. How do you create dashboards in Python?
  40. What is the purpose of the “Dash” library in Python?
  41. What is the use of the “Streamlit” library in Python?
  42. What is the purpose of the “PySpark” library in Python?
  43. What is the difference between RDD and DataFrame in PySpark?
  44. What is the use of the “SQLContext” class in PySpark?
  45. What is the difference between the “map” and “flatMap” functions in PySpark?
  46. How do you read and write data in PySpark?
  47. What is the purpose of the “join” function in PySpark?
  48. How do you handle missing data in PySpark?
  49. What is the difference between “groupBy” and “reduceByKey” in PySpark?
  50. What is the use of the “SparkSession”

 

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