Unlock Composable Parallelism in Python | Intel Software

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Get high performance Python at your fingertips with the free IntelĀ® Distribution for Python, and access easy and safe composable parallelism and efficient thread scheduling with new Python modules. As the number of cores in central processing units continues to grow, numeric libraries such as NumPy, SciPy, Dask, and Numba continue to exploit multi-threading to provide higher throughput for their customers. When these libraries are used in a single Python application, unorchestrated use of…

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