These are my go-to libraries for Python data crunching.

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Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

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NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it easier to spot trends and share insights.