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One of our goals is to get numpy to use HPy. We expect this to become the "killer feature" of HPy from the user point of view: a version of numpy which can run fast on alternate implementations, with PyPy being the primary example. This is useful on its own and enables the HPy-ification of the rest of the scientific ecosystem. Moreover, it will help us to drive the design of HPy itself, by using it in a real-word scenario.
Ultimately, when HPy is mature, we hope to convince the numpy maintainers to use it, but for now this would be developed in a fork.
One of our goals is to get numpy to use HPy. We expect this to become the "killer feature" of HPy from the user point of view: a version of numpy which can run fast on alternate implementations, with PyPy being the primary example. This is useful on its own and enables the HPy-ification of the rest of the scientific ecosystem. Moreover, it will help us to drive the design of HPy itself, by using it in a real-word scenario.
Ultimately, when HPy is mature, we hope to convince the numpy maintainers to use it, but for now this would be developed in a fork.
List of subtasks:
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