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This repository contains an advanced tutorial on optimizing Python code for machine learning applications, focusing on processing large amounts of data efficiently. It covers three powerful libraries: Numba, NumPy, and Polars.

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jman4162/Accelerated-Python-Computing-for-ML-Applications

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This repository contains an advanced tutorial on optimizing Python code for machine learning applications, focusing on processing large amounts of data efficiently. It covers three powerful libraries: Numba, NumPy, and Polars.

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python numpy cuda numba jit-compiler numpy-tutorial numpy-arrays accelerated-computing numba-jit-compiler polars-dataframe

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