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Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.
Here’s an example of a Cython function declaration that takes in a two-dimensional NumPy array: def compute(int[:, ::1] array_1): In Cython’s “pure Python” syntax, you’d use this annotation: ...
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