<ul><li>Pandas is a popular library for data manipulation in Python, but it may not be suitable for handling big data.</li><li>Polars is a powerful Python library that processes data in parallel, making it significantly faster than Pandas for large datasets.</li><li>In a test with a dataset of 10 million rows, Pandas took nearly 2 minutes to perform a groupby operation, while Polars finished it in less than 2 seconds.</li><li>Polars offers a high-performance alternative to Pandas for efficient data analysis and manipulation.</li></ul>

Beyond Pandas: The Hidden Python Libraries for Data Science

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