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Apache Arrow mostly acts like a dataframe library, so I guess Use CrateDB with DataFrame libraries is the right slot to add corresponding information, unless someone will share any objections about it.
The section should quickly outline/summarize the features, characteristics, and ingredients of Apache Arrow, and its PyArrow Python language binding.
About
Apache Arrow mostly acts like a dataframe library, so I guess Use CrateDB with DataFrame libraries is the right slot to add corresponding information, unless someone will share any objections about it.
The section should quickly outline/summarize the features, characteristics, and ingredients of Apache Arrow, and its PyArrow Python language binding.
The section should also absorb the link to this tutorial:
References
/cc @karynzv, @marijaselakovic, @surister
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