To get started with Pandas locally, you can follow these steps to set up your environment and clone the recommended repository. You can use your favorite code editor like Visual Studio Code or PyCharm ...
Point it at a Python file with a slow function. It reads the function, generates real benchmark inputs, asks an LLM for a vectorized version, validates correctness against your original output, and ...
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