At least with Julia's PyCall, you don't need to sacrifice losing access to the P... | Hacker News

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		timClicks on April 27, 2014 \| parent \| context \| favorite \| on: GoLearn – Machine Learning in Go At least with Julia's PyCall, you don't need to sacrifice losing access to the Python stack. You can work with NumPy arrays without needing to copy data around.

Osmium on April 28, 2014 [–]

Thanks! I didn't realise this. This looks really useful.

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