> The second experimental feature is a new integration of Apache Arrow, a language-independent data representation, in GraalPy. With this, it is possible to directly share large amounts of data between Java and Python without having to copy between Java and Python object layouts.
That sounds kind of insane, in a good way. Is anyone using this stuff in production?
I hope it isn't used in production yet because we still consider the use of native extensions experimental in GraalPy. However, we definitely see a need for this and will push it forward. If anyone wants to give this a try, please feel free to reach out to us.
> The second experimental feature is a new integration of Apache Arrow, a language-independent data representation, in GraalPy. With this, it is possible to directly share large amounts of data between Java and Python without having to copy between Java and Python object layouts.
That sounds kind of insane, in a good way. Is anyone using this stuff in production?
Fabio from the GraalVM team here.
I hope it isn't used in production yet because we still consider the use of native extensions experimental in GraalPy. However, we definitely see a need for this and will push it forward. If anyone wants to give this a try, please feel free to reach out to us.
In the meantime, you may want to take a look at this: https://blogs.oracle.com/ateam/post/want-to-use-llm-python-f...