Uses¶ Accelerate Python code without having to rewrite it in another language Write multithreaded or GPU code in Python Compile Python code to run on various kinds of hardware, such as edge devices or embedded systems JIT-compile performance-sensitive functions in an existing Python codebase Accelerate and parallelize NumPy code Create Python extensions without using C or Cython Goals¶ No learning


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