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Say Goodbye to Pandas: Why You Should Switch to Polars for Fast Data Manipulation in Python.

Pandas is being used widely in most data analysis works and projects. Despite being a versatile and powerful library for data manipulation and analysis in Python, there are limitations and caveats of the Pandas library that cannot be ignored by most of its users. A few of them to highlight are Intense Memory Usage with large data sets, Null Handling (NaN), Evaluations, and limitations on multi-threading. (10 things I hate about Pandas — By Python for Data Analysis Author)

Well, Say Hello to POLARS !
— One of the fastest data manipulation libraries.

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