Python interview questions for data engineer

1. Which Python libraries are most efficient for data processing?

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2. What is data smoothing?

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3. What is NumPy used for? What are its benefits?

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4. Explain the “is” operator in Python. How does “is” differ from “==”?

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5. How would you remove duplicates within a list in Python?

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6. How do you rename columns using Pandas?

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7. What is faster for lookups in Python: dictionaries or lists?

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8. What is Data Modeling?

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9. When would you use NumPy arrays over Python lists?

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