<ul><li>NumPy is a foundational library for data science in Python, allowing you to work with large arrays and matrices.</li><li>Pandas is a useful library for manipulating and analyzing data, with powerful data structures like DataFrames.</li><li>Requests simplifies making HTTP requests and interacting with APIs, making web requests easier.</li><li>Matplotlib is essential for data visualization, allowing you to create stunning plots and charts.</li></ul>

Boost Your Productivity: 7 Python Libraries Every Developer Should Know 🚀🐍

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