Let's talk about Python. What Python libraries have you used?
💡 Model Answer
I have used a variety of Python libraries across different domains. For data manipulation and analysis, I rely on Pandas and NumPy. For scientific computing, SciPy and Matplotlib are essential. In web development, Flask and Django provide lightweight and full‑stack frameworks, respectively. Requests and BeautifulSoup are my go‑to tools for HTTP requests and web scraping. For machine learning, I use scikit‑learn for traditional algorithms and TensorFlow for deep learning models. I also work with SQLAlchemy for ORM, and PyTest for testing. These libraries enable me to build end‑to‑end solutions efficiently, from data ingestion to deployment.
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