Which Python libraries will you use for processing?
💡 Model Answer
For data processing in Python, I would primarily use pandas for data manipulation and cleaning, NumPy for numerical operations, and scikit-learn for any machine‑learning preprocessing. If the data is large or distributed, I would consider Dask or PySpark to scale operations. For parsing structured data like JSON or XML, the built‑in json and xml.etree.ElementTree modules are sufficient. For web scraping or API calls, requests and BeautifulSoup are common. Finally, for logging and monitoring, the logging module and optionally tqdm for progress bars help keep track of long‑running tasks.
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