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Now you can have Cython’s speed boost without its cumbersome syntax, using the pure Python syntax you know and love. Cython has long been one of the great secret weapons of Python performance ...
without looping in Python. Again, this is so all the performance-sensitive work can be done in NumPy itself. Here’s an example: x1 = np.array( [np.arange(0, 10), np.arange(10,20)] ) This creates ...
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